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  • VS.Php Standalone Edition

    - by Editor
    VS.Php is a fast, feature rich development environment for Php developers. It comes with only the Visual Studio 2005 IDE components necessary for developing Php applications like a WYSIWYG Html editor and a powerful Xml editor. Benefits One tool for all your Php development needs Based on Microsoft®Visual Studio® 2005, the most popular IDE on the [...]

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  • Download LazyParser.NET

    - by Editor
    LazyParser.NET is a light-weight late-bound expression parser compatible with C# 2.0 expression syntax. It allows you to incorporate user-supplied mathematical expressions or any C# expression in your application which can be dynamically evaluated at runtime, using late binding. Any .NET class and/or method can be used in expressions, provided you allow access [...]

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  • Download Singularity Source Code

    - by Editor
    The Singularity Research Development Kit (RDK) is based on the Microsoft Research Singularity project. It includes source code, build tools, test suites, design notes, and other background materials. The Singularity RDK is for academic non-commercial use and is governed by this license. Singularity is a research project focused on the construction of dependable [...]

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  • Download LINQExtender

    - by Editor
    LinqExtender is a toolkit for creating custom LINQ providers without knowing anything of how expression is parsed or processed and focusing on only the business logic. You just need to extend its query class , declare the query object and override some methods to put your logic and its done. Getting Started You can [...]

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  • Calais.NET for Calais Web Service

    - by Editor
    Calais.NET The Calais.NET API wrapper lets you access the Calais Web Service simply from .NET. By processing the data with LINQ to XML, the wrapper exposes a .NET interface which abstracts complicated Web service details such as XML input parameters and RDF output data. Download Calais.NET. What is Calais? Calais is an attempt to make the world’s content more [...]

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  • .NET Rocks! Internet Audio

    - by Editor
    NET Rocks! is a weekly talk show for anyone interested in programming on the Microsoft .NET platform. The shows range from introductory information to hardcore geekiness. Many of their listeners download the MP3 files and burn CDs for the commute to and from work, or simply listen on a portable media player.  Download .NET Rocks! audio.

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  • Download Script# – C# to Javascript

    - by Editor
    Script# is a C# compiler that generates JavaScript (instead of MSIL) for use in Web applications and other script-based application types such as Windows Vista Sidebar Gadgets. The primary goal of Script# is to provide a productive script development methodology for developing and maintaining Ajax applications and frameworks by leveraging the [...]

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  • 'pip install carbon' looks like it works, but pip disagrees afterward

    - by fennec
    I'm trying to use pip to install the package carbon, a package related to statistics collection. When I run pip install carbon, it looks like everything works. However, pip is unconvinced that the package is actually installed. (This ultimately causes trouble because I'm using Puppet, and have a rule to install carbon using pip, and when puppet asks pip "is this package installed?" it says "no" and it reinstalls it again.) How do I figure out what's preventing pip from recognizing the success of this installation? Here is the output of the regular install: root@statsd:/opt/graphite# pip install carbon Downloading/unpacking carbon Downloading carbon-0.9.9.tar.gz Running setup.py egg_info for package carbon package init file 'lib/twisted/plugins/__init__.py' not found (or not a regular file) Requirement already satisfied (use --upgrade to upgrade): twisted in /usr/local/lib/python2.7/dist-packages (from carbon) Requirement already satisfied (use --upgrade to upgrade): txamqp in /usr/local/lib/python2.7/dist-packages (from carbon) Requirement already satisfied (use --upgrade to upgrade): zope.interface in /usr/local/lib/python2.7/dist-packages (from twisted->carbon) Requirement already satisfied (use --upgrade to upgrade): distribute in /usr/local/lib/python2.7/dist-packages (from zope.interface->twisted->carbon) Installing collected packages: carbon Running setup.py install for carbon package init file 'lib/twisted/plugins/__init__.py' not found (or not a regular file) changing mode of build/scripts-2.7/validate-storage-schemas.py from 664 to 775 changing mode of build/scripts-2.7/carbon-aggregator.py from 664 to 775 changing mode of build/scripts-2.7/carbon-cache.py from 664 to 775 changing mode of build/scripts-2.7/carbon-relay.py from 664 to 775 changing mode of build/scripts-2.7/carbon-client.py from 664 to 775 changing mode of /opt/graphite/bin/validate-storage-schemas.py to 775 changing mode of /opt/graphite/bin/carbon-aggregator.py to 775 changing mode of /opt/graphite/bin/carbon-cache.py to 775 changing mode of /opt/graphite/bin/carbon-relay.py to 775 changing mode of /opt/graphite/bin/carbon-client.py to 775 Successfully installed carbon Cleaning up... root@statsd:/opt/graphite# pip freeze | grep carbon root@statsd: Here is the verbose version of the install: root@statsd:/opt/graphite# pip install carbon -v Downloading/unpacking carbon Using version 0.9.9 (newest of versions: 0.9.9, 0.9.9, 0.9.8, 0.9.7, 0.9.6, 0.9.5) Downloading carbon-0.9.9.tar.gz Running setup.py egg_info for package carbon running egg_info creating pip-egg-info/carbon.egg-info writing requirements to pip-egg-info/carbon.egg-info/requires.txt writing pip-egg-info/carbon.egg-info/PKG-INFO writing top-level names to pip-egg-info/carbon.egg-info/top_level.txt writing dependency_links to pip-egg-info/carbon.egg-info/dependency_links.txt writing manifest file 'pip-egg-info/carbon.egg-info/SOURCES.txt' warning: manifest_maker: standard file '-c' not found package init file 'lib/twisted/plugins/__init__.py' not found (or not a regular file) reading manifest file 'pip-egg-info/carbon.egg-info/SOURCES.txt' writing manifest file 'pip-egg-info/carbon.egg-info/SOURCES.txt' Requirement already satisfied (use --upgrade to upgrade): twisted in /usr/local/lib/python2.7/dist-packages (from carbon) Requirement already satisfied (use --upgrade to upgrade): txamqp in /usr/local/lib/python2.7/dist-packages (from carbon) Requirement already satisfied (use --upgrade to upgrade): zope.interface in /usr/local/lib/python2.7/dist-packages (from twisted->carbon) Requirement already satisfied (use --upgrade to upgrade): distribute in /usr/local/lib/python2.7/dist-packages (from zope.interface->twisted->carbon) Installing collected packages: carbon Running setup.py install for carbon running install running build running build_py creating build creating build/lib.linux-i686-2.7 creating build/lib.linux-i686-2.7/carbon copying lib/carbon/amqp_publisher.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/manhole.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/instrumentation.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/cache.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/management.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/relayrules.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/events.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/protocols.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/conf.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/rewrite.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/hashing.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/writer.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/client.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/util.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/service.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/amqp_listener.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/routers.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/storage.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/log.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/__init__.py -> build/lib.linux-i686-2.7/carbon copying lib/carbon/state.py -> build/lib.linux-i686-2.7/carbon creating build/lib.linux-i686-2.7/carbon/aggregator copying lib/carbon/aggregator/receiver.py -> build/lib.linux-i686-2.7/carbon/aggregator copying lib/carbon/aggregator/rules.py -> build/lib.linux-i686-2.7/carbon/aggregator copying lib/carbon/aggregator/buffers.py -> build/lib.linux-i686-2.7/carbon/aggregator copying lib/carbon/aggregator/__init__.py -> build/lib.linux-i686-2.7/carbon/aggregator package init file 'lib/twisted/plugins/__init__.py' not found (or not a regular file) creating build/lib.linux-i686-2.7/twisted creating build/lib.linux-i686-2.7/twisted/plugins copying lib/twisted/plugins/carbon_relay_plugin.py -> build/lib.linux-i686-2.7/twisted/plugins copying lib/twisted/plugins/carbon_aggregator_plugin.py -> build/lib.linux-i686-2.7/twisted/plugins copying lib/twisted/plugins/carbon_cache_plugin.py -> build/lib.linux-i686-2.7/twisted/plugins copying lib/carbon/amqp0-8.xml -> build/lib.linux-i686-2.7/carbon running build_scripts creating build/scripts-2.7 copying and adjusting bin/validate-storage-schemas.py -> build/scripts-2.7 copying and adjusting bin/carbon-aggregator.py -> build/scripts-2.7 copying and adjusting bin/carbon-cache.py -> build/scripts-2.7 copying and adjusting bin/carbon-relay.py -> build/scripts-2.7 copying and adjusting bin/carbon-client.py -> build/scripts-2.7 changing mode of build/scripts-2.7/validate-storage-schemas.py from 664 to 775 changing mode of build/scripts-2.7/carbon-aggregator.py from 664 to 775 changing mode of build/scripts-2.7/carbon-cache.py from 664 to 775 changing mode of build/scripts-2.7/carbon-relay.py from 664 to 775 changing mode of build/scripts-2.7/carbon-client.py from 664 to 775 running install_lib copying build/lib.linux-i686-2.7/carbon/amqp_publisher.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/manhole.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/amqp0-8.xml -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/instrumentation.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/cache.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/management.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/relayrules.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/events.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/protocols.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/conf.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/rewrite.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/hashing.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/writer.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/client.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/util.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/aggregator/receiver.py -> /opt/graphite/lib/carbon/aggregator copying build/lib.linux-i686-2.7/carbon/aggregator/rules.py -> /opt/graphite/lib/carbon/aggregator copying build/lib.linux-i686-2.7/carbon/aggregator/buffers.py -> /opt/graphite/lib/carbon/aggregator copying build/lib.linux-i686-2.7/carbon/aggregator/__init__.py -> /opt/graphite/lib/carbon/aggregator copying build/lib.linux-i686-2.7/carbon/service.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/amqp_listener.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/routers.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/storage.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/log.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/__init__.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/carbon/state.py -> /opt/graphite/lib/carbon copying build/lib.linux-i686-2.7/twisted/plugins/carbon_relay_plugin.py -> /opt/graphite/lib/twisted/plugins copying build/lib.linux-i686-2.7/twisted/plugins/carbon_aggregator_plugin.py -> /opt/graphite/lib/twisted/plugins copying build/lib.linux-i686-2.7/twisted/plugins/carbon_cache_plugin.py -> /opt/graphite/lib/twisted/plugins byte-compiling /opt/graphite/lib/carbon/amqp_publisher.py to amqp_publisher.pyc byte-compiling /opt/graphite/lib/carbon/manhole.py to manhole.pyc byte-compiling /opt/graphite/lib/carbon/instrumentation.py to instrumentation.pyc byte-compiling /opt/graphite/lib/carbon/cache.py to cache.pyc byte-compiling /opt/graphite/lib/carbon/management.py to management.pyc byte-compiling /opt/graphite/lib/carbon/relayrules.py to relayrules.pyc byte-compiling /opt/graphite/lib/carbon/events.py to events.pyc byte-compiling /opt/graphite/lib/carbon/protocols.py to protocols.pyc byte-compiling /opt/graphite/lib/carbon/conf.py to conf.pyc byte-compiling /opt/graphite/lib/carbon/rewrite.py to rewrite.pyc byte-compiling /opt/graphite/lib/carbon/hashing.py to hashing.pyc byte-compiling /opt/graphite/lib/carbon/writer.py to writer.pyc byte-compiling /opt/graphite/lib/carbon/client.py to client.pyc byte-compiling /opt/graphite/lib/carbon/util.py to util.pyc byte-compiling /opt/graphite/lib/carbon/aggregator/receiver.py to receiver.pyc byte-compiling /opt/graphite/lib/carbon/aggregator/rules.py to rules.pyc byte-compiling /opt/graphite/lib/carbon/aggregator/buffers.py to buffers.pyc byte-compiling /opt/graphite/lib/carbon/aggregator/__init__.py to __init__.pyc byte-compiling /opt/graphite/lib/carbon/service.py to service.pyc byte-compiling /opt/graphite/lib/carbon/amqp_listener.py to amqp_listener.pyc byte-compiling /opt/graphite/lib/carbon/routers.py to routers.pyc byte-compiling /opt/graphite/lib/carbon/storage.py to storage.pyc byte-compiling /opt/graphite/lib/carbon/log.py to log.pyc byte-compiling /opt/graphite/lib/carbon/__init__.py to __init__.pyc byte-compiling /opt/graphite/lib/carbon/state.py to state.pyc byte-compiling /opt/graphite/lib/twisted/plugins/carbon_relay_plugin.py to carbon_relay_plugin.pyc byte-compiling /opt/graphite/lib/twisted/plugins/carbon_aggregator_plugin.py to carbon_aggregator_plugin.pyc byte-compiling /opt/graphite/lib/twisted/plugins/carbon_cache_plugin.py to carbon_cache_plugin.pyc running install_data copying conf/storage-schemas.conf.example -> /opt/graphite/conf copying conf/rewrite-rules.conf.example -> /opt/graphite/conf copying conf/relay-rules.conf.example -> /opt/graphite/conf copying conf/carbon.amqp.conf.example -> /opt/graphite/conf copying conf/aggregation-rules.conf.example -> /opt/graphite/conf copying conf/carbon.conf.example -> /opt/graphite/conf running install_egg_info running egg_info creating lib/carbon.egg-info writing requirements to lib/carbon.egg-info/requires.txt writing lib/carbon.egg-info/PKG-INFO writing top-level names to lib/carbon.egg-info/top_level.txt writing dependency_links to lib/carbon.egg-info/dependency_links.txt writing manifest file 'lib/carbon.egg-info/SOURCES.txt' warning: manifest_maker: standard file '-c' not found reading manifest file 'lib/carbon.egg-info/SOURCES.txt' writing manifest file 'lib/carbon.egg-info/SOURCES.txt' removing '/opt/graphite/lib/carbon-0.9.9-py2.7.egg-info' (and everything under it) Copying lib/carbon.egg-info to /opt/graphite/lib/carbon-0.9.9-py2.7.egg-info running install_scripts copying build/scripts-2.7/validate-storage-schemas.py -> /opt/graphite/bin copying build/scripts-2.7/carbon-aggregator.py -> /opt/graphite/bin copying build/scripts-2.7/carbon-cache.py -> /opt/graphite/bin copying build/scripts-2.7/carbon-relay.py -> /opt/graphite/bin copying build/scripts-2.7/carbon-client.py -> /opt/graphite/bin changing mode of /opt/graphite/bin/validate-storage-schemas.py to 775 changing mode of /opt/graphite/bin/carbon-aggregator.py to 775 changing mode of /opt/graphite/bin/carbon-cache.py to 775 changing mode of /opt/graphite/bin/carbon-relay.py to 775 changing mode of /opt/graphite/bin/carbon-client.py to 775 writing list of installed files to '/tmp/pip-9LuJTF-record/install-record.txt' Successfully installed carbon Cleaning up... Removing temporary dir /opt/graphite/build... root@statsd:/opt/graphite# For reference, this is pip 1.0 from /usr/lib/python2.7/dist-packages (python 2.7)

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  • Is HR/Recruitment Really Ready For Innovative Candidates

    - by david.talamelli
    Before I begin this blog post, I want to acknowledge that there are some great HR/Recruitment people out there who are innovative and are leading the way in using new means to successfully attract and connect with talented people. For those of you who fit in this category, please keep thinking outside the square - just because what you do may not be the norm doesn't mean it is bad. Ok, with that acknowledgment out of the way - Earlier this morning (I started this post Friday morning) I came across this online profile via a tweet from Philip Tusing I love the information that Jason has put on his web-pages. From his work Jason clearly demonstrates not only his skills/experience but also I love how he relates his experience and shows how it will help an employer and what the value add of having him on your team is. Looking at Jason's profile makes me think though, is HR/Recruitment in general terms ready to deal with innovative candidates. Sure most Recruiters are online in some form or another, but how many actually have a process that is flexible enough to deal with someone who may not fit into your processes. Is your company's recruitment practice proactive enough to find Jason's web-pages? I am not sure what he is doing in terms of a job search, but if he is not mailing a resume or replying to ads on a Job Board - hopefully Jason comes up on some of the candidate searching you are doing. Once you find this information, would the information Jason provides fit nicely into your Applicant Tracking System or your Database? If not, how much of the intangible information are you losing and potentially not passing on to a Hiring Manager. I think what has worked in the past will not necessarily work in the future. Candidates want to work somewhere they will be challenged and learn and grow. If your HR/Recruitment team displays processes that take don't necessarily convey this message, this potentially could turn people away who were once interested in your company. For example (and I have to admit I still do some of these things myself), once calling up and having a talk to a candidate a company may say: 1) HR Question: Send me in a copy of your resume - Candidate Reply - you actually already have my resume, the web-page is http:// 2) HR Question:Come in for a chat so we can get to know you - Candidate Reply - if this is the basis of a meeting, you already know me and my thoughts by looking at my online links (blog, portfolio, homepage, etc...) These questions if not handled properly could potentially turn a candidate from being interested in your company to not being interested in your company. It potentially could demonstrate that your company is not social media savvy or maybe give the impression of not really being all that innovative. A candidate may think, if this company isn't able to take information I have provided in the public forum and use it, is it really a company I want to work for? I think when liaising with candidates a company should utilise the information the person has provided in the public domain. A candidate may inadvertantly give you answers to many of the questions you are seeking on their online presence and save everyone time instead of having to fill out forms or paperwork. If you build this into your conversations with your candidates it becomes a much more individualised service you are providing and really demonstrates to a candidate you are thinking of them as an individual. Yes I know we need to have processes in place and I am not saying don't work to those processes, but don't let process take away a candidates individuality. Don't let your process inadvertently scare away the top candidates that you may want in your company. This article was originally posted on David Talamelli's Blog - David's Journal on Tap

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  • How to fix Software Center crashes?

    - by shandna towns
    E: Type '<!DOCTYPE' is not known on line 1 in source list /etc/apt/sources.list.d/medibuntu.list E: The list of sources could not be read. shandanatowns@ubuntu:~$ software-center 2012-09-25 12:23:35,115 - softwarecenter.ui.gtk3.app - INFO - setting up proxy 'None' 2012-09-25 12:23:35,123 - softwarecenter.db.database - INFO - open() database: path=None use_axi=True use_agent=True (software-center:4524): Gtk-WARNING **: Theme parsing error: softwarecenter.css:34:20: Not using units is deprecated. Assuming 'px'. (software-center:4524): Gtk-WARNING **: Theme parsing error: softwarecenter.css:34:22: Not using units is deprecated. Assuming 'px'. (software-center:4524): Gtk-WARNING **: Theme parsing error: softwarecenter.css:56:20: Not using units is deprecated. Assuming 'px'. (software-center:4524): Gtk-WARNING **: Theme parsing error: softwarecenter.css:56:22: Not using units is deprecated. Assuming 'px'. (software-center:4524): Gtk-WARNING **: Theme parsing error: softwarecenter.css:60:20: Not using units is deprecated. Assuming 'px'. (software-center:4524): Gtk-WARNING **: Theme parsing error: softwarecenter.css:60:22: Not using units is deprecated. Assuming 'px'. 2012-09-25 12:23:35,472 - softwarecenter.backend.reviews - WARNING - Could not get usefulness from server, no username in config file 2012-09-25 12:23:35,477 - softwarecenter.fixme - WARNING - logs to the root logger: '('/usr/lib/python2.7/dist-packages/gi/importer.py', 51, 'find_module')' 2012-09-25 12:23:35,477 - root - ERROR - Could not find any typelib for LaunchpadIntegration 2012-09-25 12:23:35,605 - softwarecenter.ui.gtk3.app - INFO - show_available_packages: search_text is '', app is None. 2012-09-25 12:23:35,987 - softwarecenter.db.pkginfo_impl.aptcache - INFO - aptcache.open() Traceback (most recent call last): File "/usr/share/software-center/softwarecenter/db/pkginfo_impl/aptcache.py", line 257, in open self._cache = apt.Cache(progress) File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 102, in __init__ self.open(progress) File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 149, in open self._list.read_main_list() SystemError: E:Type '<!DOCTYPE' is not known on line 1 in source list /etc/apt/sources.list.d/medibuntu.list 2012-09-25 12:23:37,000 - softwarecenter.db.enquire - ERROR - _get_estimate_nr_apps_and_nr_pkgs failed Traceback (most recent call last): File "/usr/share/software-center/softwarecenter/db/enquire.py", line 115, in _get_estimate_nr_apps_and_nr_pkgs tmp_matches = enquire.get_mset(0, len(self.db), None, xfilter) File "/usr/share/software-center/softwarecenter/db/appfilter.py", line 89, in __call__ if (not pkgname in self.cache and File "/usr/share/software-center/softwarecenter/db/pkginfo_impl/aptcache.py", line 277, in __contains__ return self._cache.__contains__(k) AttributeError: 'NoneType' object has no attribute '__contains__' Traceback (most recent call last): File "/usr/bin/software-center", line 182, in <module> app.run(args) File "/usr/share/software-center/softwarecenter/ui/gtk3/app.py", line 1385, in run self.show_available_packages(args) File "/usr/share/software-center/softwarecenter/ui/gtk3/app.py", line 1323, in show_available_packages self.view_manager.set_active_view(ViewPages.AVAILABLE) File "/usr/share/software-center/softwarecenter/ui/gtk3/session/viewmanager.py", line 151, in set_active_view view_widget.init_view() File "/usr/share/software-center/softwarecenter/ui/gtk3/panes/availablepane.py", line 173, in init_view self.cache, self.db, self.icons, self.apps_filter) File "/usr/share/software-center/softwarecenter/ui/gtk3/views/lobbyview.py", line 81, in __init__ self.build() File "/usr/share/software-center/softwarecenter/ui/gtk3/views/lobbyview.py", line 322, in build self._build_homepage_view() File "/usr/share/software-center/softwarecenter/ui/gtk3/views/lobbyview.py", line 120, in _build_homepage_view self._append_whats_new() File "/usr/share/software-center/softwarecenter/ui/gtk3/views/lobbyview.py", line 251, in _append_whats_new whats_new_cat = self._update_whats_new_content() File "/usr/share/software-center/softwarecenter/ui/gtk3/views/lobbyview.py", line 236, in _update_whats_new_content docs = whats_new_cat.get_documents(self.db) File "/usr/share/software-center/softwarecenter/db/categories.py", line 132, in get_documents nonblocking_load=False) File "/usr/share/software-center/softwarecenter/db/enquire.py", line 317, in set_query self._blocking_perform_search() File "/usr/share/software-center/softwarecenter/db/enquire.py", line 212, in _blocking_perform_search matches = enquire.get_mset(0, self.limit, None, xfilter) File "/usr/share/software-center/softwarecenter/db/appfilter.py", line 89, in __call__ if (not pkgname in self.cache and File "/usr/share/software-center/softwarecenter/db/pkginfo_impl/aptcache.py", line 277, in __contains__ return self._cache.__contains__(k) AttributeError: 'NoneType' object has no attribute '__contains__'

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  • Unable to build my c++ code with g++ 4.6.3

    - by Mriganka
    I am facing multiple issues with building my c++ code on Ubuntu 12.04. This code was building and running fine on RH Enterprise. I am using g++ 4.6.3. Here's the output of g++ -v. g++ -v Using built-in specs. COLLECT_GCC=g++ COLLECT_LTO_WRAPPER=/usr/lib/gcc/i686-linux-gnu/4.6/lto-wrapper Target: i686-linux-gnu Configured with: ../src/configure -v --with-pkgversion='Ubuntu/Linaro 4.6.3-1ubuntu5' --with-bugurl=file:///usr/share/doc/gcc-4.6/README.Bugs --enable-languages=c,c++,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-4.6 --enable-shared --enable-linker-build-id --with-system-zlib --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --with-gxx-include-dir=/usr/include/c++/4.6 --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-gnu-unique-object --enable-plugin --enable-objc-gc --enable-targets=all --disable-werror --with-arch-32=i686 --with-tune=generic --enable-checking=release --build=i686-linux-gnu --host=i686-linux-gnu --target=i686-linux-gnu Thread model: posix gcc version 4.6.3 (Ubuntu/Linaro 4.6.3-1ubuntu5) Here's a sample of my code: #include "Word.h" #include < string> using namespace std; pthread_mutex_t Word::_lock = PTHREAD_MUTEX_INITIALIZER; Word::Word(): _occurrences(1) { memset(_buf, 0, 25); } Word::Word(char *str): _occurrences(1) { memset(_buf, 0, 25); if (str != NULL) { strncpy(_buf, str, strlen(str)); } } g++ -c -ansi or g++ -c -std=c++98 or g++ -c -std=c++03, none of these options are able to build the code correctly. I get the following compilation errors: mriganka@ubuntu:~/WordCount$ make g++ -c -g -ansi Word.cpp -o Word.o Word.cpp: In constructor ‘Word::Word()’: Word.cpp:10:21: error: ‘memset’ was not declared in this scope Word.cpp: In constructor ‘Word::Word(char*)’: Word.cpp:16:21: error: ‘memset’ was not declared in this scope Word.cpp:19:34: error: ‘strlen’ was not declared in this scope Word.cpp:19:35: error: ‘strncpy’ was not declared in this scope Word.cpp: In member function ‘void Word::operator=(const Word&)’: Word.cpp:37:42: error: ‘strlen’ was not declared in this scope Word.cpp:37:43: error: ‘strncpy’ was not declared in this scope Word.cpp: In copy constructor ‘Word::Word(const Word&)’: Word.cpp:44:21: error: ‘memset’ was not declared in this scope Word.cpp:45:52: error: ‘strlen’ was not declared in this scope Word.cpp:45:53: error: ‘strncpy’ was not declared in this scope So basically g++ 4.6.3 on Ubuntu 12.04 is not able to recognize the standard c++ headers. And I am not finding a way out of this situation. Second problem: In order to make progress, I included < string.h instead of < string. But now I am facing linking errors with my message queue and pthread library functions. Here's the error that I am getting: mriganka@ubuntu:~/WordCount$ make g++ -c -g -ansi Word.cpp -o Word.o g++ -lrt -I/usr/lib/i386-linux-gnu Word.o HashMap.o main.o -o word_count main.o: In function `main': /home/mriganka/WordCount/main.cpp:75: undefined reference to `pthread_create' /home/mriganka/WordCount/main.cpp:90: undefined reference to `mq_open' /home/mriganka/WordCount/main.cpp:93: undefined reference to `mq_getattr' /home/mriganka/WordCount/main.cpp:113: undefined reference to `mq_send' /home/mriganka/WordCount/main.cpp:123: undefined reference to `pthread_join' /home/mriganka/WordCount/main.cpp:129: undefined reference to `mq_close' /home/mriganka/WordCount/main.cpp:130: undefined reference to `mq_unlink' main.o: In function `count_words(void*)': /home/mriganka/WordCount/main.cpp:151: undefined reference to `mq_open' /home/mriganka/WordCount/main.cpp:154: undefined reference to `mq_getattr' /home/mriganka/WordCount/main.cpp:162: undefined reference to `mq_timedreceive' collect2: ld returned 1 exit status Here's my makefile: CC=g++ CFLAGS=-c -g -ansi LDFLAGS=-lrt INC=-I/usr/lib/i386-linux-gnu SOURCES=Word.cpp HashMap.cpp main.cpp OBJECTS=$(SOURCES:.cpp=.o) EXECUTABLE=word_count all: $(SOURCES) $(EXECUTABLE) $(EXECUTABLE): $(OBJECTS) $(CC) $(LDFLAGS) $(INC) -pthread $(OBJECTS) -o $@ .cpp.o: $(CC) $(CFLAGS) $< -o $@ clean: rm -f *.o word_count Please help me to resolve both the issues. I searched online relentlessly for any solution of these problems, but no one seems to have encountered these issues.

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  • Oracle Big Data Software Downloads

    - by Mike.Hallett(at)Oracle-BI&EPM
    Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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  • SQL SERVER – Integrate Your Data with Skyvia – Cloud ETL Solution

    - by Pinal Dave
    In our days data integration often becomes a key aspect of business success. For business analysts it’s very important to get integrated data from various sources, such as relational databases, cloud CRMs, etc. to make correct and successful decisions. There are various data integration solutions on market, and today I will tell about one of them – Skyvia. Skyvia is a cloud data integration service, which allows integrating data in cloud CRMs and different relational databases. It is a completely online solution and does not require anything except for a browser. Skyvia provides powerful etl tools for data import, export, replication, and synchronization for SQL Server and other databases and cloud CRMs. You can use Skyvia data import tools to load data from various sources to SQL Server (and SQL Azure). Skyvia supports such cloud CRMs as Salesforce and Microsoft Dynamics CRM and such databases as MySQL and PostgreSQL. You even can migrate data from SQL Server to SQL Server, or from SQL Server to other databases and cloud CRMs. Additionally Skyvia supports import of CSV files, either uploaded manually or stored on cloud file storage services, such as Dropbox, Box, Google Drive, or FTP servers. When data import is not enough, Skyvia offers bidirectional data synchronization. With this tool, you can synchronize SQL Server data with other databases and cloud CRMs. After performing the first synchronization, Skyvia tracks data changes in the synchronized data storages. In SQL Server databases (and other relational databases) it creates additional tracking tables and triggers. This allows synchronizing only the changed data. Skyvia also maps records by their primary key values to each other, so it does not require different sources to have the same primary key structure. It still can match the corresponding records without having to add any additional columns or changing data structure. The only requirement for synchronization is that primary keys must be autogenerated. With Skyvia it’s not necessary for data to have the same structure in integrated data storages. Skyvia supports powerful mapping mechanisms that allow synchronizing data with completely different structure. It provides support for complex mathematical and string expressions when mapping data, using lookups, etc. You may use data splitting – loading data from a single CSV file or source table to multiple related target tables. Or you may load data from several source CSV files or tables to several related target tables. In each case Skyvia preserves data relations. It builds corresponding relations between the target data automatically. When you often work with cloud CRM data, native CRM data reporting and analysis tools may be not enough for you. And there is a vast set of professional data analysis and reporting tools available for SQL Server. With Skyvia you can quickly copy your cloud CRM data to an SQL Server database and apply corresponding SQL Server tools to the data. In such case you can use Skyvia data replication tools. It allows you to quickly copy cloud CRM data to SQL Server or other databases without customizing any mapping. You need just to specify columns to copy data from. Target database tables will be created automatically. Skyvia offers powerful filtering settings to replicate only the records you need. Skyvia also provides capability to export data from SQL Server (including SQL Azure) and other databases and cloud CRMs to CSV files. These files can be either downloadable manually or loaded to cloud file storages or FTP server. You can use export, for example, to backup SQL Azure data to Dropbox. Any data integration operation can be scheduled for automatic execution. Thus, you can automate your SQL Azure data backup or data synchronization – just configure it once, then schedule it, and benefit from automatic data integration with Skyvia. Currently registration and using Skyvia is completely free, so you can try it yourself and find out whether its data migration and integration tools suits for you. Visit this link to register on Skyvia: https://app.skyvia.com/register Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Cloud Computing

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  • Silabs cp2102 driver problem

    - by Zxy
    I downloaded appropriate driver from its own site, unzipped it and then tried to install it. But: root@ghostrider:/home/zero/Downloads# tar xvf cp210x-3.1.0.tar.gz cp210x-3.1.0/ cp210x-3.1.0/COPYING cp210x-3.1.0/cp210x/ cp210x-3.1.0/cp210x-3.1.0.spec cp210x-3.1.0/cp210x/.rpmmacros cp210x-3.1.0/cp210x/configure cp210x-3.1.0/cp210x/cp210x.c cp210x-3.1.0/cp210x/cp210x.h cp210x-3.1.0/cp210x/cp210xuniversal.c cp210x-3.1.0/cp210x/cp210xuniversal.h cp210x-3.1.0/cp210x/installmod cp210x-3.1.0/cp210x/Makefile24 cp210x-3.1.0/cp210x/Makefile26 cp210x-3.1.0/cp210x/rpmmacros24 cp210x-3.1.0/cp210x/rpmmacros26 cp210x-3.1.0/cp210x/Rules.make cp210x-3.1.0/INSTALL cp210x-3.1.0/makerpm cp210x-3.1.0/PACKAGE-LIST cp210x-3.1.0/README cp210x-3.1.0/RELEASE-NOTES cp210x-3.1.0/REPORTING-BUGS cp210x-3.1.0/rpm/ cp210x-3.1.0/rpm/brp-java-repack-jars cp210x-3.1.0/rpm/brp-python-bytecompile cp210x-3.1.0/rpm/check-rpaths cp210x-3.1.0/rpm/check-rpaths-worker root@ghostrider:/home/zero/Downloads# cd cp210x-3.1.0 root@ghostrider:/home/zero/Downloads/cp210x-3.1.0# ls COPYING cp210x-3.1.0.spec makerpm README REPORTING-BUGS cp210x INSTALL PACKAGE-LIST RELEASE-NOTES rpm root@ghostrider:/home/zero/Downloads/cp210x-3.1.0# run ./makerpm No command 'run' found, did you mean: Command 'zrun' from package 'moreutils' (universe) Command 'runq' from package 'exim4-daemon-heavy' (main) Command 'runq' from package 'exim4-daemon-light' (main) Command 'runq' from package 'sendmail-bin' (universe) Command 'grun' from package 'grun' (universe) Command 'qrun' from package 'torque-client' (universe) Command 'qrun' from package 'torque-client-x11' (universe) Command 'lrun' from package 'lustre-utils' (universe) Command 'rn' from package 'trn' (multiverse) Command 'rn' from package 'trn4' (multiverse) Command 'rup' from package 'rstat-client' (universe) Command 'srun' from package 'slurm-llnl' (universe) run: command not found root@ghostrider:/home/zero/Downloads/cp210x-3.1.0# sudo ./makerpm + uname -r + kernel_release=3.2.0-25-generic-pae + pwd + current_dir=/home/zero/Downloads/cp210x-3.1.0 + export current_dir + uname -r + KVER=3.2.0-25-generic-pae + echo 3.2.0-25-generic-pae + awk -F . -- { print $1 } + KVER1=3 + echo 3.2.0-25-generic-pae + awk -F . -- { print $2 } + KVER2=2 + sed -e s/3\.2\.//g + echo 3.2.0-25-generic-pae + KVER3=0-25-generic-pae + [ -f /root/.rpmmacros ] + echo 2 2 + [ 2 == 4 ] ./makerpm: 25: [: 2: unexpected operator + echo 0-25-generic-pae 0-25-generic-pae + [ 0-25-generic-pae -gt 15 ] ./makerpm: 29: [: Illegal number: 0-25-generic-pae + cp /home/zero/Downloads/cp210x-3.1.0/cp210x/rpmmacros24 /root/.rpmmacros + d=/var/tmp/silabs + [ ! -d /var/tmp/silabs ] + mkdir /var/tmp/silabs + cd /var/tmp/silabs + r=/var/tmp/silabs/rpmbuild + o=cp210x-3.1.0 + s=/var/tmp/silabs/rpmbuild/SOURCES + spec=cp210x-3.1.0.spec + rm -rf /var/tmp/silabs/rpmbuild + mkdir rpmbuild + mkdir rpmbuild/SOURCES + mkdir rpmbuild/SRPMS + mkdir rpmbuild/SPECS + mkdir rpmbuild/BUILD + mkdir rpmbuild/RPMS + cd /var/tmp/silabs/rpmbuild/SOURCES + rm -rf cp210x-3.1.0 + mkdir cp210x-3.1.0 + cp -r /home/zero/Downloads/cp210x-3.1.0/cp210x/Makefile24 /home/zero/Downloads/cp210x-3.1.0/cp210x/Makefile26 /home/zero/Downloads/cp210x- 3.1.0/cp210x/Rules.make /home/zero/Downloads/cp210x-3.1.0/cp210x/configure /home/zero/Downloads/cp210x-3.1.0/cp210x/cp210x.c /home/zero/Downloads/cp210x- 3.1.0/cp210x/cp210x.h /home/zero/Downloads/cp210x-3.1.0/cp210x/cp210xuniversal.c /home/zero/Downloads/cp210x-3.1.0/cp210x/cp210xuniversal.h /home/zero/Downloads/cp210x- 3.1.0/cp210x/installmod /home/zero/Downloads/cp210x-3.1.0/cp210x/rpmmacros24 /home/zero/Downloads/cp210x-3.1.0/cp210x/rpmmacros26 cp210x-3.1.0 + echo 2 2 + [ 2 == 4 ] ./makerpm: 64: [: 2: unexpected operator + echo 0-25-generic-pae 0-25-generic-pae + [ 0-25-generic-pae -gt 15 ] ./makerpm: 68: [: Illegal number: 0-25-generic-pae + cp /home/zero/Downloads/cp210x-3.1.0/cp210x/.rpmmacros24 cp210x-3.1.0/.rpmmacros cp: cannot stat `/home/zero/Downloads/cp210x-3.1.0/cp210x/.rpmmacros24': No such file or directory + MyCopy=0 + rm -f cp210x-3.1.0.tar + rm -f cp210x-3.1.0.tar.gz + tar -cf cp210x-3.1.0.tar cp210x-3.1.0 + gzip cp210x-3.1.0.tar + cp /home/zero/Downloads/cp210x-3.1.0/cp210x-3.1.0.spec /var/tmp/silabs/rpmbuild/SPECS + rpmbuild -ba /var/tmp/silabs/rpmbuild/SPECS/cp210x-3.1.0.spec ./makerpm: 121: ./makerpm: rpmbuild: not found + [ -f /root/.rpmmacros.cp210x ] How may I solve my problem? Thanks

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  • Oracle Products Reflect Key Trends Shaping Enterprise 2.0

    - by kellsey.ruppel(at)oracle.com
    Following up on his predictions for 2011, we asked Enterprise 2.0 veteran Andy MacMillan to map out the ways Oracle solutions are at the forefront of industry trends--and how Oracle customers can benefit in the coming year. 1. Increase organizational awareness | Oracle WebCenter Suite Oracle WebCenter Suite provides a unique set of capabilities to drive organizational awareness. In particular, the expansive activity graph connects users directly to key enterprise applications, activities, and interests. In this way, applicable and critical business information is automatically and immediately visible--in the context of key tasks--via real-time dashboards and comprehensive reporting. Oracle WebCenter Suite also integrates key E2.0 services, such as blogs, wikis, and RSS feeds, into critical business processes, including back-office systems of records such as ERP and CRM systems. 2. Drive online customer engagement | Oracle Real-Time Decisions With more and more business being conducted on the Web, driving increased online customer engagement becomes a critical key to success. This effort is usually spearheaded by an increasingly important executive role, the Head of Online, who usually reports directly to the CMO. To help manage the Web experience online, Oracle solutions are driving a new kind of intelligent social commerce by combining Oracle Universal Content Management, Oracle WebCenter Services, and Oracle Real-Time Decisions with leading e-commerce and product recommendations. Oracle Real-Time Decisions provides multichannel recommendations for content, products, and services--including seamless integration across Web, mobile, and social channels. The result: happier customers, increased customer acquisition and retention, and improved critical success metrics such as shopping cart abandonment. 3. Easily build composite applications | Oracle Application Development Framework Thanks to the shared user experience strategy across Oracle Fusion Middleware, Oracle Fusion Applications and many other Oracle Applications, customers can easily create real, customer-specific composite applications using Oracle WebCenter Suite and Oracle Application Development Framework. Oracle Application Development Framework components provide modular user interface components that can build rich, social composite applications. In addition, a broad set of components spanning BPM, SOA, ECM, and beyond can be quickly and easily incorporated into composite applications. 4. Integrate records management into a global content platform | Oracle Enterprise Content Management 11g Oracle Enterprise Content Management 11g provides leading records management capabilities as part of a unified ECM platform for managing records, documents, Web content, digital assets, enterprise imaging, and application imaging. This unique strategy provides comprehensive records management in a consistent, cost-effective way, and enables organizations to consolidate ECM repositories and connect ECM to critical business applications. 5. Achieve ECM at extreme scale | Oracle WebLogic Server and Oracle Exadata To support the high-performance demands of a unified and rationalized content platform, Oracle has pioneered highly scalable and high-performing ECM infrastructures. Two innovations in particular helped make this happen. The core ECM platform itself moved to an Enterprise Java architecture, so organizations can now use Oracle WebLogic Server for enhanced scalability and manageability. Oracle Enterprise Content Management 11g can leverage Oracle Exadata for extreme performance and scale. Likewise, Oracle Exalogic--Oracle's foundation for cloud computing--enables extreme performance for processor-intensive capabilities such as content conversion or dynamic Web page delivery. Learn more about Oracle's Enterprise 2.0 solutions.

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  • When is your interview?

    - by Rob Farley
    Sometimes it’s tough to evaluate someone – to figure out if you think they’d be worth hiring. These days, since starting LobsterPot Solutions, I have my share of interviews, on both sides of the desk. Sometimes I’m checking out potential staff members; sometimes I’m persuading someone else to get us on board for a project. Regardless of who is on which side of the desk, we’re both checking each other out. The world is not how it was some years ago. I’m pretty sure that every time I walk into a room for an interview, I’ve searched for them online, and they’ve searched for me. I suspect they usually have the easier time finding me, although there are obviously other Rob Farleys in the world. They may have even checked out some of my presentations from conferences, read my blog posts, maybe even heard me tell jokes or sing. I know some people need me to explain who I am, but for the most part, I think they’ve done plenty of research long before I’ve walked in the room. I remember when this was different (as it could be for you still). I remember a time when I dealt with recruitment agents, looking for work. I remember sitting in rooms having been giving a test designed to find out if I knew my stuff or not, and then being pulled into interviews with managers who had to find out if I could communicate effectively. I’d need to explain who I was, what kind of person I was, what my value-system involved, and so on. I’m sure you understand what I’m getting at. (Oh, and in case you hadn’t realised, it’s a T-SQL Tuesday post, this month about interviews.) At TechEd Australia some years ago (either 2009 or 2010 – I forget which), I remember hearing a comment made during the ‘locknote’, the closing session. The presenter described a conversation he’d heard between two girls, discussing a guy that one of them had just started dating. The other girl expressed horror at the fact that her friend had met this guy in person, rather than through an online dating agency. The presenter pointed out that people realise that there’s a certain level of safety provided through the checks that those sites do. I’m not sure I completely trust this, but I’m sure it’s true for people’s technical profiles. If I interview someone, I hope they have a profile. I hope I can look at what they already know. I hope I can get samples of their work, and see how they communicate. I hope I can get a feel for their sense of humour. I hope I already know exactly what kind of person they are – their value system, their beliefs, their passions. Even their grammar. I can work out if the person is a good risk or not from who they are online. If they don’t have an online presence, then I don’t have this information, and the risk is higher. So if you’re interviewing with me, your interview started long before the conversation. I hope it started before I’d ever heard of you. I know the interview in which I’m being assessed started before I even knew there was a product called SQL Server. It’s reflected in what I write. It’s in the way I present. I have spent my life becoming me – so let’s talk! @rob_farley

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  • Getting Started with StreamInsight 2.1

    - by Roman Schindlauer
    If you're just beginning to get familiar with StreamInsight, you may be looking for a way to get started. What are the basics? How can I get my first StreamInsight application running so I can see how it works? Where is the 'front door' that will get me going? If that describes you, then this blog entry might be just what you need. If you're already a StreamInsight wiz, keep reading anyway - you may find some helpful links here that you weren't aware of. But here's what we'd like from you experienced readers in particular: if you know of other good resources that we missed, please feel free to add them in the comments below. We appreciate you sharing your expertise. The Book The basic documentation for StreamInsight is located in the MSDN Library (Microsoft StreamInsight 2.1). You'll notice that previous versions of StreamInsight are still there (1.2 and 2.0), but if you're just getting started you can stick to the 2.1 section. The documentation has been organized to function as reference material, which is fine after you're familiar with the technology. But if you're trying to learn the basics, you might want to take a different path instead of just starting at the top. The following is one map you can use. What Is StreamInsight? Here is a sequence of topics that should give you a good overview of what StreamInsight is and how it works: Overview answers the question, "what is it?" StreamInsight Server Architecture gives you a quick look at a high-level architectural drawing StreamInsight Concepts lays out an overview of the basic components Deploying StreamInsight Entities to a StreamInsight Server describes the mechanics of how these components work together Getting an Example Running Once you have this background, go ahead and install StreamInsight and get a basic example up and running: Installation download and install the software StreamInsight Examples walk through a set of 3 simple StreamInsight applications that work together to demonstrate what you learned in the topics above; you can copy and paste the code into Visual Studio, compile, and run That's it - you now have a real, functioning StreamInsight system! Now that you have a handle on the basics, you might want to start digging deeper. Digging Deeper Here's a suggested path through the documentation to help you understand the next layer of StreamInsight technologies: Using Event Sources and Event Sinks sources supply data and sinks consume it; this topic gives you an overview of how they work Publishing and Connecting to the StreamInsight Server practical details on how to set up a StreamInsight server A Hitchhiker’s Guide to StreamInsight 2.1 Queries queries are the heart of how StreamInsight performs data analytics, and this whitepaper will help you really understand how they work Using StreamInsight LINQ root through this section for technical details on specific query components Using the StreamInsight Event Flow Debugger in addition to troubleshooting, the debugger is a great way to learn more about what goes on inside a StreamInsight application And Even Deeper Finally, to get a handle on some of the more complex things you can do with StreamInsight, dig into these: Input and Output Adapters adapters can be useful for handling more complex sources and sinks Building Resilient StreamInsight Applications a resilient application is able to recover from system failures Operations this section will help you monitor and troubleshoot a running StreamInsight system The StreamInsight Community As you're designing and developing your StreamInsight solutions, you probably will find it helpful to see working examples or to learn tips and tricks from others. Or maybe you need a place to post a vexing question. Here are some community resources that we have found useful. If you know of others, please add them in the comments below. Code samples and tools Official StreamInsight code samples Introduction to LinqPad Driver for StreamInsight 2.1 - LinqPad is a very useful tool for developing queries The following case studies are based on earlier versions of StreamInsight, but they still are useful examples: Microsoft Media Analytics - real-time monitoring and analytic Edgenet - responding to information from multiple source ICONICS - managing energy usage Blogs Microsoft StreamInsight Ruminations of J.net Richard Seroter's Architecture Musings pluralsight Forums MSDN StreamInsight Forum stackoverflow Training Microsoft StreamInsight Fundamentals (“Introducing StreamInsight” is free) from pluralsight Twitter @streaminsight   You’re a StreamInsight Expert That should get you going. Please add any other resources you have found useful in the comments below.   Regards, The StreamInsight Team

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  • Automated SSRS deployment with the RS utility

    - by Stacy Vicknair
    If you’re familiar with SSRS and development you are probably aware of the SSRS web services. The RS utility is a tool that comes with SSRS that allows for scripts to be executed against against the SSRS web service without needing to create an application to consume the service. One of the better benefits of using this format rather than writing an application is that the script can be modified by others who might be involved in the creation and addition of scripts or management of the SSRS environment.   Reporting Services Scripter Jasper Smith from http://www.sqldbatips.com created Reporting Services Scripter to assist with the created of a batch process to deploy an entire SSRS environment. The helper scripts below were created through the modification of his generated scripts. Why not just use this tool? You certainly can. For me, the volume of scripts generated seems less maintainable than just using some common methods extracted from these scripts and creating a deployment in a single script file. I would, however, recommend this as a product if you do not think that your environment will change drastically or if you do not need to deploy with a higher level of control over the deployment. If you just need to replicate, this tool works great. Executing with RS.exe Executing a script against rs.exe is fairly simple. The Script Half the battle is having a starting point. For the scripting I needed to do the below is the starter script. A few notes: This script assumes integrated security. This script assumes your reports have one data source each. Both of the above are just what made sense for my scenario and are definitely modifiable to accommodate your needs. If you are unsure how to change the scripts to your needs, I recommend Reporting Services Scripter to help you understand how the differences. The script has three main methods: CreateFolder, CreateDataSource and CreateReport. Scripting the server deployment is just a process of recreating all of the elements that you need through calls to these methods. If there are additional elements that you need to deploy that aren’t covered by these methods, again I suggest using Reporting Services Scripter to get the code you would need, convert it to a repeatable method and add it to this script! Public Sub Main() CreateFolder("/", "Data Sources") CreateFolder("/", "My Reports") CreateDataSource("/Data Sources", "myDataSource", _ "Data Source=server\instance;Initial Catalog=myDatabase") CreateReport("/My Reports", _ "MyReport", _ "C:\myreport.rdl", _ True, _ "/Data Sources", _ "myDataSource") End Sub   Public Sub CreateFolder(parent As String, name As String) Dim fullpath As String = GetFullPath(parent, name) Try RS.CreateFolder(name, parent, GetCommonProperties()) Console.WriteLine("Folder created: {0}", name) Catch e As SoapException If e.Detail.Item("ErrorCode").InnerText = "rsItemAlreadyExists" Then Console.WriteLine("Folder {0} already exists and cannot be overwritten", fullpath) Else Console.WriteLine("Error : " + e.Detail.Item("ErrorCode").InnerText + " (" + e.Detail.Item("Message").InnerText + ")") End If End Try End Sub   Public Sub CreateDataSource(parent As String, name As String, connectionString As String) Try RS.CreateDataSource(name, parent,False, GetDataSourceDefinition(connectionString), GetCommonProperties()) Console.WriteLine("DataSource {0} created successfully", name) Catch e As SoapException Console.WriteLine("Error : " + e.Detail.Item("ErrorCode").InnerText + " (" + e.Detail.Item("Message").InnerText + ")") End Try End Sub   Public Sub CreateReport(parent As String, name As String, location As String, overwrite As Boolean, dataSourcePath As String, dataSourceName As String) Dim reportContents As Byte() = Nothing Dim warnings As Warning() = Nothing Dim fullpath As String = GetFullPath(parent, name)   'Read RDL definition from disk Try Dim stream As FileStream = File.OpenRead(location) reportContents = New [Byte](stream.Length-1) {} stream.Read(reportContents, 0, CInt(stream.Length)) stream.Close()   warnings = RS.CreateReport(name, parent, overwrite, reportContents, GetCommonProperties())   If Not (warnings Is Nothing) Then Dim warning As Warning For Each warning In warnings Console.WriteLine(Warning.Message) Next warning Else Console.WriteLine("Report: {0} published successfully with no warnings", name) End If   'Set report DataSource references Dim dataSources(0) As DataSource   Dim dsr0 As New DataSourceReference dsr0.Reference = dataSourcePath Dim ds0 As New DataSource ds0.Item = CType(dsr0, DataSourceDefinitionOrReference) ds0.Name=dataSourceName dataSources(0) = ds0     RS.SetItemDataSources(fullpath, dataSources)   Console.Writeline("Report DataSources set successfully")       Catch e As IOException Console.WriteLine(e.Message) Catch e As SoapException Console.WriteLine("Error : " + e.Detail.Item("ErrorCode").InnerText + " (" + e.Detail.Item("Message").InnerText + ")") End Try End Sub     Public Function GetCommonProperties() As [Property]() 'Common CatalogItem properties Dim descprop As New [Property] descprop.Name = "Description" descprop.Value = "" Dim hiddenprop As New [Property] hiddenprop.Name = "Hidden" hiddenprop.Value = "False"   Dim props(1) As [Property] props(0) = descprop props(1) = hiddenprop Return props End Function   Public Function GetDataSourceDefinition(connectionString as String) Dim definition As New DataSourceDefinition definition.CredentialRetrieval = CredentialRetrievalEnum.Integrated definition.ConnectString = connectionString definition.Enabled = True definition.EnabledSpecified = True definition.Extension = "SQL" definition.ImpersonateUser = False definition.ImpersonateUserSpecified = True definition.Prompt = "Enter a user name and password to access the data source:" definition.WindowsCredentials = False definition.OriginalConnectStringExpressionBased = False definition.UseOriginalConnectString = False Return definition End Function   Private Function GetFullPath(parent As String, name As String) As String If parent = "/" Then Return parent + name Else Return parent + "/" + name End If End Function

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  • How to Waste Your Marketing Budget

    - by Mike Stiles
    Philosophers have long said if you find out where a man’s money is, you’ll know where his heart is. Find out where money in a marketing budget is allocated, and you’ll know how adaptive and ready that company is for the near future. Marketing spends are an investment. Not unlike buying stock, the money is placed in areas the marketer feels will yield the highest return. Good stock pickers know the lay of the land, the sectors, the companies, and trends. Likewise, good marketers should know the media available to them, their audience, what they like & want, what they want their marketing to achieve…and trends. So what are they doing? And how are they doing? A recent eTail report shows nearly half of retailers planned on focusing on SEO, SEM, and site research technologies in the coming months. On the surface, that’s smart. You want people to find you. And you’re willing to let the SEO tail wag the dog and dictate the quality (or lack thereof) of your content such as blogs to make that happen. So search is prioritized well ahead of social, multi-channel initiatives, email, even mobile - despite the undisputed explosive growth and adoption of it by the public. 13% of retailers plan to focus on online video in the next 3 months. 29% said they’d look at it in 6 months. Buying SEO trickery is easy. Attracting and holding an audience with wanted, relevant content…that’s the hard part. So marketers continue to kick the content can down the road. Pretty risky since content can draw and bind customers to you. Asked to look a year ahead, retailers started thinking about CRM systems, customer segmentation, and loyalty, (again well ahead of online video, social and site personalization). What these investors are missing is social is spreading across every function of the enterprise and will be a part of CRM, personalization, loyalty programs, etc. They’re using social for engagement but not for PR, customer service, and sales. Mistake. Allocations are being made seemingly blind to the trends. Even more peculiar are the results of an analysis Mary Meeker of Kleiner Perkins made. She looked at how much time people spend with media types and how marketers are investing in those media. 26% of media consumption is online, marketers spend 22% of their ad budgets there. 10% of media time is spent with mobile, but marketers are spending 1% of their ad budgets there. 7% of media time is spent with print, but (get this) marketers spend 25% of their ad budgets there. It’s like being on Superman’s Bizarro World. Mary adds that of the online spending, most goes to search while spends on content, even ad content, stayed flat. Stock pickers know to buy low and sell high. It means peering with info in hand into the likely future of a stock and making the investment in it before it peaks. Either marketers aren’t believing the data and trends they’re seeing, or they can’t convince higher-ups to acknowledge change and adjust their portfolios accordingly. Follow @mikestilesImage via stock.xchng

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  • Future Of F# At Jazoon 2011

    - by Alois Kraus
    I was at the Jazoon 2011 in Zurich (Switzerland). It was a really cool event and it had many top notch speaker not only from the Microsoft universe. One of the most interesting talks was from Don Syme with the title: F# Today/F# Tomorrow. He did show how to use F# scripting to browse through open databases/, OData Web Services, Sharepoint, …interactively. It looked really easy with the help of F# Type Providers which is the next big language feature in a future F# version. The object returned by a Type Provider is used to access the data like in usual strongly typed object model. No guessing how the property of an object is called. Intellisense will show it just as you expect. There exists a range of Type Providers for various data sources where the schema of the stored data can somehow be dynamically extracted. Lets use e.g. a free database it would be then let data = DbProvider(http://.....); data the object which contains all data from e.g. a chemical database. It has an elements collection which contains an element which has the properties: Name, AtomicMass, Picture, …. You can browse the object returned by the Type Provider with full Intellisense because the returned object is strongly typed which makes this happen. The same can be achieved of course with code generators that use an input the schema of the input data (OData Web Service, database, Sharepoint, JSON serialized data, …) and spit out the necessary strongly typed objects as an assembly. This does work but has the downside that if the schema of your data source is huge you will quickly run against a wall with traditional code generators since the generated “deserialization” assembly could easily become several hundred MB. *** The following part contains guessing how this exactly work by asking Don two questions **** Q: Can I use Type Providers within C#? D: No. Q: F# is after all a library. I can reference the F# assemblies and use the contained Type Providers? D: F# does annotate the generated types in a special way at runtime which is not a static type that C# could use. The F# type providers seem to use a hybrid approach. At compilation time the Type Provider is instantiated with the url of your input data. The obtained schema information is used by the compiler to generate static types as usual but only for a small subset (the top level classes up to certain nesting level would make sense to me). To make this work you need to access the actual data source at compile time which could be a problem if you want to keep the actual url in a config file. Ok so this explains why it does work at all. But in the demo we did see full intellisense support down to the deepest object level. It looks like if you navigate deeper into the object hierarchy the type provider is instantiated in the background and attach to a true static type the properties determined at run time while you were typing. So this type is not really static at all. It is static if you define as a static type that its properties shows up in intellisense. But since this type information is determined while you are typing and it is not used to generate a true static type and you cannot use these “intellistatic” types from C#. Nonetheless this is a very cool language feature. With the plotting libraries you can generate expressive charts from any datasource within seconds to get quickly an overview of any structured data storage. My favorite programming language C# will not get such features in the near future there is hope. If you restrict yourself to OData sources you can use LINQPad to query any OData enabled data source with LINQ with ease. There you can query Stackoverflow with The output is also nicely rendered which makes it a very good tool to explore OData sources today.

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  • The Best Data Integration for Exadata Comes from Oracle

    - by maria costanzo
    Oracle Data Integrator and Oracle GoldenGate offer unique and optimized data integration solutions for Oracle Exadata. For example, customers that choose to feed their data warehouse or reporting database with near real-time throughout the day, can do so without decreasing  performance or availability of source and target systems. And if you ask why real-time, the short answer is: in today’s fast-paced, always-on world, business decisions need to use more relevant, timely data to be able to act fast and seize opportunities. A longer response to "why real-time" question can be found in a related blog post. If we look at the solution architecture, as shown on the diagram below,  Oracle Data Integrator and Oracle GoldenGate are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components. Oracle Data Integrator (ODI) is the best bulk data loading solution for Exadata. ODI is the only ETL platform that can leverage the full power of Exadata, integrate directly on the Exadata machine without any additional hardware, and by far provides the simplest setup and fastest overall performance on an Exadata system. We regularly see customers achieving a 5-10 times boost when they move their ETL to ODI on Exadata. For  some companies the performance gain is even much higher. For example a large insurance company did a proof of concept comparing ODI vs a traditional ETL tool (one of the market leaders) on Exadata. The same process that was taking 5hrs and 11 minutes to complete using the competing ETL product took 7 minutes and 20 seconds with ODI. Oracle Data Integrator was 42 times faster than the conventional ETL when running on Exadata.This shows that Oracle's own data integration offering helps you to gain the most out of your Exadata investment with a truly optimized solution. GoldenGate is the best solution for streaming data from heterogeneous sources into Exadata in real time. Oracle GoldenGate can also be used together with Data Integrator for hybrid use cases that also demand non-invasive capture, high-speed real time replication. Oracle GoldenGate enables real-time data feeds from heterogeneous sources non-invasively, and delivers to the staging area on the target Exadata system. ODI runs directly on Exadata to use the database engine power to perform in-database transformations. Enterprise Data Quality is integrated with Oracle Data integrator and enables ODI to load trusted data into the data warehouse tables. Only Oracle can offer all these technical benefits wrapped into a single intelligence data warehouse solution that runs on Exadata. Compared to traditional ETL with add-on CDC this solution offers: §  Non-invasive data capture from heterogeneous sources and avoids any performance impact on source §  No mid-tier; set based transformations use database power §  Mini-batches throughout the day –or- bulk processing nightly which means maximum availability for the DW §  Integrated solution with Enterprise Data Quality enables leveraging trusted data in the data warehouse In addition to Starwood Hotels and Resorts, Morrison Supermarkets, United Kingdom’s fourth-largest food retailer, has seen the power of this solution for their new BI platform and shared their story with us. Morrisons needed to analyze data across a large number of manufacturing, warehousing, retail, and financial applications with the goal to achieve single view into operations for improved customer service. The retailer deployed Oracle GoldenGate and Oracle Data Integrator to bring new data into Oracle Exadata in near real-time and replicate the data into reporting structures within the data warehouse—extending visibility into operations. Using Oracle's data integration offering for Exadata, Morrisons produced financial reports in seconds, rather than minutes, and improved staff productivity and agility. You can read more about Morrison’s success story here and hear from Starwood here. From an Irem Radzik article.

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  • Know your Data Lineage

    - by Simon Elliston Ball
    An academic paper without the footnotes isn’t an academic paper. Journalists wouldn’t base a news article on facts that they can’t verify. So why would anyone publish reports without being able to say where the data has come from and be confident of its quality, in other words, without knowing its lineage. (sometimes referred to as ‘provenance’ or ‘pedigree’) The number and variety of data sources, both traditional and new, increases inexorably. Data comes clean or dirty, processed or raw, unimpeachable or entirely fabricated. On its journey to our report, from its source, the data can travel through a network of interconnected pipes, passing through numerous distinct systems, each managed by different people. At each point along the pipeline, it can be changed, filtered, aggregated and combined. When the data finally emerges, how can we be sure that it is right? How can we be certain that no part of the data collection was based on incorrect assumptions, that key data points haven’t been left out, or that the sources are good? Even when we’re using data science to give us an approximate or probable answer, we cannot have any confidence in the results without confidence in the data from which it came. You need to know what has been done to your data, where it came from, and who is responsible for each stage of the analysis. This information represents your data lineage; it is your stack-trace. If you’re an analyst, suspicious of a number, it tells you why the number is there and how it got there. If you’re a developer, working on a pipeline, it provides the context you need to track down the bug. If you’re a manager, or an auditor, it lets you know the right things are being done. Lineage tracking is part of good data governance. Most audit and lineage systems require you to buy into their whole structure. If you are using Hadoop for your data storage and processing, then tools like Falcon allow you to track lineage, as long as you are using Falcon to write and run the pipeline. It can mean learning a new way of running your jobs (or using some sort of proxy), and even a distinct way of writing your queries. Other Hadoop tools provide a lot of operational and audit information, spread throughout the many logs produced by Hive, Sqoop, MapReduce and all the various moving parts that make up the eco-system. To get a full picture of what’s going on in your Hadoop system you need to capture both Falcon lineage and the data-exhaust of other tools that Falcon can’t orchestrate. However, the problem is bigger even that that. Often, Hadoop is just one piece in a larger processing workflow. The next step of the challenge is how you bind together the lineage metadata describing what happened before and after Hadoop, where ‘after’ could be  a data analysis environment like R, an application, or even directly into an end-user tool such as Tableau or Excel. One possibility is to push as much as you can of your key analytics into Hadoop, but would you give up the power, and familiarity of your existing tools in return for a reliable way of tracking lineage? Lineage and auditing should work consistently, automatically and quietly, allowing users to access their data with any tool they require to use. The real solution, therefore, is to create a consistent method by which to bring lineage data from these data various disparate sources into the data analysis platform that you use, rather than being forced to use the tool that manages the pipeline for the lineage and a different tool for the data analysis. The key is to keep your logs, keep your audit data, from every source, bring them together and use the data analysis tools to trace the paths from raw data to the answer that data analysis provides.

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  • New Version 3.1 Endeca Information Discovery Now Available

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 Business User Self-Service Data Mash-up Analysis and Discovery integrated with OBI11g and Hadoop Oracle Endeca Information Discovery 3.1 (OEID) is a major release that incorporates significant new self-service discovery capabilities for business users, including agile data mashup, extended support for unstructured analytics, and an even tighter integration with Oracle BI.  · Self-Service Data Mashup and Discovery Dashboards: business users can combine information from multiple sources, including their own up-loaded spreadsheets, to conduct analysis on the complete set.  Creating discovery dashboards has been made even easier by intuitive drag-and drop layouts and wizard-based configuration.  Business users can now build new discovery applications in minutes, without depending on IT. · Enhanced Integration with Oracle BI: OEID 3.1 enhances its’ native integration with Oracle Business Intelligence Foundation. Business users can now incorporate information from trusted BI warehouses, leveraging dimensions and attributes defined in Oracle’s Common Enterprise Information Model, but evolve them based on the varying day-to-day demands and requirements that they personally manage. · Deep Unstructured Analysis: business users can gain new insights from a wide variety of enterprise and public sources, helping companies to build an actionable Big Data strategy.  With OEID’s long-standing differentiation in correlating unstructured information with structured data, business users can now perform their own text mining to identify hidden concepts, without having to request support from IT. They can augment these insights with best in class keyword search and pattern matching, all in the context of rich, interactive visualizations and analytic summaries. · Enterprise-Class Self-Service Discovery:  OEID 3.1 enables IT to provide a powerful self-service platform to the business as part of a broader Business Analytics strategy, preserving the value of existing investments in data quality, governance, and security.  Business users can take advantage of IT-curated information to drive discovery across high volumes and varieties of data, and share insights with colleagues at a moment’s notice. · Harvest Content from the Web with the Endeca Web Acquisition Toolkit:  Oracle now provides best-of-breed data access to website content through the Oracle Endeca Web Acquisition Toolkit.  This provides an agile, graphical interface for developers to rapidly access and integrate any information exposed through a web front-end.  Organizations can now cost-effectively include content from consumer sites, industry forums, government or supplier portals, cloud applications, and myriad other web sources as part of their overall strategy for data discovery and unstructured analytics. For more information: OEID 3.1 OTN Software and Documentation Download And Endeca available for download on Software Delivery Cloud (eDelivery) New OEID 3.1 Videos on YouTube Oracle.com Endeca Site /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;}

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  • cannot install firmware-b43-installer

    - by unknown
    output i get when installing the installArchives() failed: Preconfiguring packages ... Preconfiguring packages ... Preconfiguring packages ... Selecting previously deselected package menu. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 216125 files and directories currently installed.) Unpacking menu (from .../menu_2.1.44ubuntu1_i386.deb) ... Selecting previously deselected package wifi-radar. Unpacking wifi-radar (from .../wifi-radar_2.0.s05-1.2_all.deb) ... Processing triggers for man-db ... Processing triggers for install-info ... Processing triggers for doc-base ... Processing 1 added doc-base file(s)... Registering documents with scrollkeeper... Processing triggers for bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Processing triggers for desktop-file-utils ... Processing triggers for python-gmenu ... Rebuilding /usr/share/applications/desktop.en_US.UTF8.cache... Processing triggers for python-support ... Setting up firmware-b43-installer (4.150.10.5-5) ... --2012-10-26 08:51:30-- http://mirror2.openwrt.org/sources/broadcom-wl-4.150.10.5.tar.bz2 Resolving mirror2.openwrt.org... 46.4.11.11 Connecting to mirror2.openwrt.org|46.4.11.11|:80... failed: Connection refused. dpkg: error processing firmware-b43-installer (--configure): subprocess installed post-installation script returned error exit status 4 No apport report written because MaxReports is reached already Setting up menu (2.1.44ubuntu1) ... Processing triggers for menu ... Setting up wifi-radar (2.0.s05-1.2) ... Processing triggers for menu ... Errors were encountered while processing: firmware-b43-installer Setting up firmware-b43-installer (4.150.10.5-5) ... --2012-10-26 08:51:33-- http://mirror2.openwrt.org/sources/broadcom-wl-4.150.10.5.tar.bz2 Resolving mirror2.openwrt.org... 46.4.11.11 Connecting to mirror2.openwrt.org|46.4.11.11|:80... failed: Connection refused. dpkg: error processing firmware-b43-installer (--configure): subprocess installed post-installation script returned error exit status 4 same thing occurs when i try to install any of the wireless application. All other software installs and the same error when trying to install firmware. I tried to go the link(http://mirror2.openwrt.org/sources/broadcom-wl-4.150.10.5.tar.bz2) and download the package but found no make file found in his package. please help me.

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  • Ruby Gems Not Installing, Hangs While Getting Gems

    - by Tim Hoolihan
    I recently cleared out all of my ruby install and installed form sources using the instructions at hivelogic I have have been able to install a few gems, but most of the time, "sudo gem install rails" hangs. I've added the -V flag, and it just seems to hang, I don't get any error. And the process can not be killed. I can only reboot to kill the process. My ruby info: [tim@ ~]# ruby -v ruby 1.8.7 (2010-01-10 patchlevel 249) [i686-darwin10.2.0] [tim@ ~]# gem -v 1.3.6 [tim@ ~]# gem environment RubyGems Environment: - RUBYGEMS VERSION: 1.3.6 - RUBY VERSION: 1.8.7 (2010-01-10 patchlevel 249) [i686-darwin10.2.0] - INSTALLATION DIRECTORY: /usr/local/lib/ruby/gems/1.8 - RUBY EXECUTABLE: /usr/local/bin/ruby - EXECUTABLE DIRECTORY: /usr/local/bin - RUBYGEMS PLATFORMS: - ruby - x86-darwin-10 - GEM PATHS: - /usr/local/lib/ruby/gems/1.8 - /Users/tim/.gem/ruby/1.8 - GEM CONFIGURATION: - :update_sources => true - :verbose => true - :benchmark => false - :backtrace => false - :bulk_threshold => 1000 - :sources => ["http://gems.rubyforge.org/", "http://gems.rubyforge.org"] - REMOTE SOURCES: - http://gems.rubyforge.org/ - http://gems.rubyforge.org [tim@ ~]# which ruby /usr/local/bin/ruby [tim@ ~]# which gem /usr/local/bin/gem [tim@ ~]# uname -a Darwin tim-hoolihans-macbook-pro-15.local 10.2.0 Darwin Kernel Version 10.2.0: Tue Nov 3 10:37:10 PST 2009; root:xnu-1486.2.11~1/RELEASE_I386 i386 [tim@ ~]# Any ideas?

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