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• Filemaker Pro 9 (Mac) : How do I get it to deal with absolute paths?

  - by Bernd Haug

  I have an installation where FM Pro 9 clients open a solution from an FM Server 9. This solution then needs to access files on a network share from the clients. So far, the network share was mounted with AFP, but an infrastructure change required it to be switched to static NFS mounts. Their boot Volumes may have different names, but they all mount an NFS share at the same mount point in the "real" mount tree (starting from the UNIX root dir, /). According to http://www.filemaker.com/help/html/create_db.8.32.html#1030283 it looks like there is no way to just use a full path without having a volume name as if this was Mac OS classic - is there some way to work around this? Upgrading to a newer FileMaker is not a sought solution.

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• Applescript, how to get network address of a file

  - by CRP

  We are a network of Mac computers. I would like to send email addresses to colleagues with links to files on network locations. I made the following applescript: tell application "Finder" set uuu to URL of the first item of (get the selection) set the clipboard to uuu end tell which puts the URL of the currently selected file into the clipboard, which can then be pasted into the message (using the Add Link menu item), providing, for example: file://localhost/Volumes/Commerciale/Clienti/ unfortunately these links do not work. If I select Go To Folder from the menu item, I can get to the folder using an afp:// type url. Is there any way to get this via applescript like I do with url above? Thanks

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• C# Importing Large Volume of Data from CSV to Database

  - by guazz

  What's the most efficient method to load large volumes of data from CSV (3 million + rows) to a database. The data needs to be formatted(e.g. name column needs to be split into first name and last name, etc.) I need to do this in a efficiently as possible i.e. time constraints I am siding with the option of reading, transforming and loading the data using a C# application row-by-row? Is this ideal, if not, what are my options? Should I use multithreading?

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• Why are there so many floats in the Android API?

  - by Brian

  The default floating point type in Java is the double. If you hard code a constant like 2.5 into your program, Java makes it a double automatically. When you do an operation on floats or ints that could potentially benefit from more precision, the type is 'promoted' to a double. But in the Android API, everything seems to be a float from sound volumes to rectangle coordinates. There's a structure called RectF used in most drawing; the F is for float. It's really a pain for programmers who are casting promoted doubles back to (float) pretty often. Don't we all agree that Java code is messy and verbose enough as it is? Usually math coprocessors and accelerators prefer double in Java because it corresponds to one of the internal types. Is there something about Android's Dalvik VM that prefers floats for some reason? Or are all the floats just a result of perversion in API design?

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• TextMate/Macfusion combo for mounting projects over SSH

  - by Sam Lee

  Here is my workflow: I use Macfusion to mount a server over SSH, and then edit the root directory of the project in TextMate (using mate /Volumes/server/projectdir). I have a plug in installed that disables refreshing on refresh. This works ALMOST perfectly--the only thing I have problems with is "Find in Project": it's REALLY slow. Has anyone run into this problem before and been able to find any solutions? Currently I go to terminal when I have to do a search, but it would be great to be able to do it in TextMate. Thanks!

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• Dynamically generating high performance functions in clojure

  - by mikera

  I'm trying to use Clojure to dynamically generate functions that can be applied to large volumes of data - i.e. a requirement is that the functions be compiled to bytecode in order to execute fast, but their specification is not known until run time. e.g. suppose I specify functions with a simple DSL like: (def my-spec [:add [:multiply 2 :param0] 3]) I would like to create a function compile-spec such that: (compile-spec my-spec) Would return a compiled function of one parameter x that returns 2x+3. What is the best way to do this in Clojure?

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• Advice for building a browser-based audio mixer up to 32 tracks

  - by Jonathan P.

  As a personal hobby I am looking to build an online audio mixer where I can upload individual instrument tracks, control individual volumes of each track, and export the mixed down version. I've been trying (and have come pretty close) with javascript. I really would like to stay away from flash if possible, but I'm really looking for suggestions for technologies to try. If anyone has any suggestions on languages that are good at stuff like this or libraries that I am missing, please let me know! I have a test environment that I have been using: http://driverstestpractice.com/sandbox Currently all tracks on the site are set to the click track in order to test the track sync (which as you can tell is a little off)! Thanks!

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• Rails + RSpec problem

  - by FancyDancy

  I have just installed Rspec and Rspec-rails. When i try to run the test, it says: rake aborted! Command /opt/local/bin/ruby -I"lib" "/opt/local/lib/ruby/gems/1.8/gems/rspec-1.3.0/bin/spec" "spec/controllers/free_controller_spec.rb" --options "/Volumes/Trash/dev/app/trunk/spec/spec.opts" failed Full log here: http://pastie.org/939211 However, my second "test" application with sqlite works with it. I think the problem is in my DB. My ruby version is 1.8.7, i use mysql as database. My files: specs/spec_helper.rb config/environment.rb config/environments/test.rb List of my gems My test is just: require 'spec_helper' describe FreeController do it "should respond with success" do get 'index' response.should be_success end end I really can't understand the error, so i don't know how to fix it.. Additional question: should i use a fixtures and ActiveRecord, if i going to use Machinist for creating test data? What should i do to disable them?

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• Use of bit-torrent for large file download as an alternative to FTP

  - by questzen

  The company I work for procures large volumes of data and does this by subscribing to FTP locations. I was wondering if it is possible to download the same using a tracker, the major challenge is authentication of the users IMO. Most ftp servers we subscribe to have a restriction of the number of ftp connection attempts. Does any one here have any experience with this? Any advice is welcome. Edit To clarify, we subscribe to third party vendors and access their ftp location using credentials provided by them. The service is not exclusive to us, they do sell their data to several others. If we could be part of the swarm, the download rates would be pretty high without added penalty. The question is about the possibility of achieving this, so that we can put-forth a proposal in those lines. The vendors obviously wouldn't share data to non-subscribers, so that is a constraint.

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• Options for storing large text blobs in/with an SQL database?

  - by kdt

  Hi, I have some large volumes of text (log files) which may be very large (up to gigabytes). They are associated with entities which I'm storing in a database, and I'm trying to figure out whether I should store them within the SQL database, or in external files. It seems like in-database storage may be limited to 4GB for LONGTEXT fields in MySQL, and presumably other DBs have similar limits. Also, storing in the database presumably precludes any kind of seeking when viewing this data -- I'd have to load the full length of the data to render any part of it, right? So it seems like I'm leaning towards storing this data out-of-DB: are my misgivings about storing large blobs in the database valid, and if I'm going to store them out of the database then are there any frameworks/libraries to help with that? (I'm working in python but am interested in technologies in other languages too)

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• Is there a way of getting a file name and inserting into Matlab script?

  - by torr

  In a folder, I have both my .m file that contains the script and an imaging .dcm file that needs to be analyzed. Folder structure: Folder1/analysis.m Folder1/meas_dynamic_123.dcm My script (analysis.m) begins as follows: target =''; <== here should go the full path to the file + filename example: /Volumes/Data/Folder1/meas_dynamic_123.m txt = dir(target); // etc So I'm wondering if there is a way of when running analysis.m it will: automatically search the folder it's in, grab the full path + filename of file containing string dynamic in the name, insert its full path + name into target variable continue running the script Does anyone have any pointers on how to achieve this? Using ffpath?

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• Cost justification for buying a 32GB superfast Alienware M18x with a price tag of around £5K ($10K)

  - by tonyrogerson

  When considering buying a laptop that’s going to cost me around £5,000 I really need to justify the purchase from a business perspective; my Lenovo W700 has served me very well for the last 2 years, it’s an extremely good machine and as solid as a rock (and as heavy), alas though it is limited to the 8GB. As SQL Server 2012 approaches and with my interest in working in the Business Intelligence space over the next year or two it is clear I need a powerful machine that I can run a full infrastructure though virtualised. My requirements For High Availability / Disaster Recovery research and demonstration Machine for a domain controller Four machines in a shared disk cluster (SQL Server Clustering active – active etc.) Five  machines in a file share cluster (SQL Server Availability Groups) For Business Intelligence research and demonstration Not entirely sure how many machine I want to run here, but it would be to cover the entire BI stack in an enterprise setting, sharepoint, sql server etc. For Big Data Research I have a fondness for the NoSQL approach to scalability and dealing with large volumes so I need a number of machines to research VoltDB, Hadoop etc. As you can see the requirements for a SQL Server consultant to service their clients well is considerable; will 8GB suffice, alas no, it will no longer do. I’m a very strong believer that in order to do your job well you must expense it, short cuts only cost you time, waiting 5 minutes instead of an hour for something to run not only saves me time but my clients time, I can do things quicker and more importantly I can demonstrate concepts. My W700 with the 8GB of RAM and SSD’s cost me around £3.5K two years ago, to be honest I’ve not got the full use I wanted out of it but the machine has had the power when I’ve needed it, it’s served me and my clients well. Alienware now do a model (the M18x) with 32GB of RAM; yes 32GB in a laptop! Dual drives so I can whack a couple of really good SSD’s in there, a quad core with hyper threading i7 and a decent speed. I can reduce the cost of the memory by getting it from Crucial, so instead of £1.5K for 32GB it will be around £900, I can also cost save on the SSD as well. The beauty about the M18x is that it is USB3.0, SATA 3 and also really importantly has eSATA, running VM’s will never be easier, I can have a removeable SSD with my VM’s on it and can plug it into my home machine or laptop – an ideal world! The initial outlay of £5K is peanuts compared to the benefits I’ll give my clients, I will be able to present real enterprise concepts, I’ll also be able to give training on those real enterprise concepts and with real, albeit virtualised machines.

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• FREE Windows Azure evening in London on April 15th including FREE access to Windows Azure

  - by Eric Nelson

  [Did I overdo the use of FREE in the title? :-)] April 12th to 16th is Microsoft Tech Days – 5 days of sessions on Visual Studio 2010 through to Windows 7 Phone Series. Many of these days are now full (Tip - Thursday still has room if rich client applications is your thing) but the good news is the development community in the UK has pulled together an awesome series of “fringe events” during April in London and elsewhere in the UK. There are sessions on Silverlight, SQL Server 2008 R2, Sharepoint 2010 and … the Windows Azure Platform. The UK AzureNET user group is planning to put on a great evening and AzureNET will be giving away hundreds of free subscriptions to the Windows Azure Platform during the evening. The subscription includes up to 20 Windows Azure Compute nodes and 3 SQL Azure databases for you to play with over the 2 weeks following the event. This is a great opportunity to really explore the Windows Azure Platform in detail – without a credit card! Register now! (and you might also want to join the UK Fans of Azure Community while I have your attention) FYI The Thursday day time event includes an introduction to Windows Azure session delivered by my colleague David – which would be an ideal session to attend if you are new to Azure and want to get the most out of the evening session. 7:00pm: See the difference: How Windows Azure helped build a new way of giving Simon Evans and James Broome (@broomej) They will cover the business context for Azure and then go into patterns used and lessons learnt from the project....as well as showing off the app of course! 8:00pm: UK AzureNET update 8:15pm: NoSQL databases or: How I learned to love the hash table Mark Rendle (@markrendle) In this session Mark will look at how Azure Table Service works and how to use it. We’ll look briefly at the high-level Data Services SDK, talk about its limitations, and then quickly move on to the REST API and how to use it to improve performance and reduce costs. We’ll make-up some pretend real-world problems and solve them in new and interesting ways. We’ll denormalise data (for fun and profit). We’ll talk about how certain social networking sites can deal with huge volumes of data so quickly, and why it sometimes goes wrong. Check out the complete list of fringe events which covers the UK fairly well:

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• ODI 11g – How to Load Using Partition Exchange

  - by David Allan

  Here we will look at how to load large volumes of data efficiently into the Oracle database using a mixture of CTAS and partition exchange loading. The example we will leverage was posted by Mark Rittman a couple of years back on Interval Partitioning, you can find that posting here. The best thing about ODI is that you can encapsulate all those ‘how to’ blog posts and scripts into templates that can be reused – the templates are of course Knowledge Modules. The interface design to mimic Mark's posting is shown below; The IKM I have constructed performs a simple series of steps to perform a CTAS to create the stage table to use in the exchange, then lock the partition (to ensure it exists, it will be created if it doesn’t) then exchange the partition in the target table. You can find the IKM Oracle PEL.xml file here. The IKM performs the follows steps and is meant to illustrate what can be done; So when you use the IKM in an interface you configure the options for hints (for parallelism levels etc), initial extent size, next extent size and the partition variable;   The KM has an option where the name of the partition can be passed in, so if you know the name of the partition then set the variable to the name, if you have interval partitioning you probably don’t know the name, so you can use the FOR clause. In my example I set the variable to use the date value of the source data FOR (TO_DATE(''01-FEB-2010'',''dd-MON-yyyy'')) Using a variable lets me invoke the scenario many times loading different partitions of the same target table. Below you can see where this is defined within ODI, I had to double single-quote the strings since this is placed inside the execute immediate tasks in the KM; Note also this example interface uses the LKM Oracle to Oracle (datapump), so this illustration uses a lot of the high performing Oracle database capabilities – it uses Data Pump to unload, then a CreateTableAsSelect (CTAS) is executed on the external table based on top of the Data Pump export. This table is then exchanged in the target. The IKM and illustrations above are using ODI 11.1.1.6 which was needed to get around some bugs in earlier releases with how the variable is handled...as far as I remember.

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• SQL SERVER – NTFS File System Performance for SQL Server

  - by pinaldave

  Note: Before practicing any of the suggestion of this article, consult your IT Infrastructural Admin, applying the suggestion without proper testing can only damage your system. Question: “Pinal, we have 80 GB of data including all the database files, we have our data in NTFS file system. We have proper backups are set up. Any suggestion for our NTFS file system performance improvement. Our SQL Server box is running only SQL Server and nothing else. Please advise.” When I receive questions which I have just listed above, it often sends me deep thought. Honestly, I know a lot but there are plenty of things, I believe can be built with community knowledge base. Today I need you to help me to complete this list. I will start the list and you help me complete it. NTFS File System Performance Best Practices for SQL Server Disable Indexing on disk volumes Disable generation of 8.3 names (command: FSUTIL BEHAVIOR SET DISABLE8DOT3 1) Disable last file access time tracking (command: FSUTIL BEHAVIOR SET DISABLELASTACCESS 1) Keep some space empty (let us say 15% for reference) on drive is possible (Only on Filestream Data storage volume) Defragement the volume Add your suggestions here… The one which I often get a pretty big debate is NTFS allocation size. I have seen that on the disk volume which stores filestream data, when increased allocation to 64K from 4K, it reduces the fragmentation. Again, I suggest you attempt this after proper testing on your server. Every system is different and the file stored is different. Here is when I would like to request you to share your experience with related to NTFS allocation size. If you do not agree with any of the above suggestions, leave a comment with reference and I will modify it. Please note that above list prepared assuming the SQL Server application is only running on the computer system. The next question does all these still relevant for SSD – I personally have no experience with SSD with large database so I will refrain from comment. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• BigData and Customer Experience: Happy Together

  - by Isabel F. Peñuelas

  The two big buzzes of the year may lay closer than it appears. Both concepts intersect at various points: BigData and Return of Investment of Marketing Campaigns On a recent post Big Data Is The Future Of Marketing Jeff Dachis explains very clearly how “Big data analytics finally allows marketers to identify, measure, and manage what is positively impacting their Brand”. Regression analysis applied to big data volumes coming from social media will substitute the failed attempts to justify marketing investments on social media in terms of followers and likes, he continues, “the measurement models applied by marketers on TV Campaigns don´t work on social”, we need to study the data with fresh eyes and maybe then we will start understanding and measuring brand engagemet. Social CRM and BigData The real value of Social CRM start by analyzing mass of big data from social media in order of applying social intelligence techniques that allow us to classify new customer niches and communities and define appropriated strategies to contact potential customers. Gartner Says that the Market for Social CRM is on pace to surpass $1 Billion in Revenue by Year-End 2012 but in words of Zach Hofer-Shall, Analyst at Forrester Research “Social customer relationship management is hard” (The Social CRM Arms Race Heats ). To succeed brands need three things: Investing in new social tools, investing in consultancy and investing in infrastructure for massive data storage and analysis. Neither CeX or BigData are easy and cheap wins. But what are the customer benefits of such investments? Big Data and Brand Engagement Time is the most valuable asset of todays consumers: tired of information overload, exhausted by the terabytes of offering, anxious because of not having the same fast multichannel experience with their services’ marketers or preferred goods providers than the one they found on their social media. Yes, I know you have read this before- me too. But is real. The motto of the Customer Experience philosophy of providing a consistent experience through multiple touchpoints that makes the relationship customer/brand easier and valuable finds it basis on understanding customer/s preferences and context for which BigData analysis is another imperative. In summary, I believe that using BigData Analysis in combination with appropriated CeX strategies and technologies is a promising direction for achieving: efficiency and marketing cost-savings; growing the customer base; and increasing customer conversion and retention. In a world: The Direction of Future Marketing.

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• Partner Webcast – Oracle Coherence Applications on WebLogic 12c Grid - 21st Nov 2013

  - by Thanos Terentes Printzios

  Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence 12c comes with great improvements in ease of use, integration and RASP (Reliability, Availability, Scalability, and Performance) areas. In addition it features an innovating approach to build and deploy Coherence Application as an integral part of typical JEE Enterprise Application. Coherence GAR archives and Coherence Managed Servers are now first-class citizens of all JEE applications and Oracle WebLogic domains respectively. That enables even easier development, deployment and management of complex multi-tier enterprise applications powered by data grid rich features. Oracle Coherence 12c makes your solution ready for the future of big data and always-on-line world. This webcast is focused on demonstrating How to create a Coherence Application using Oracle Enterprise Pack for Eclipse 12.1.2.1.1 (Kepler release). How to package the application in form of GAR archive inside the EAR deployable application. How to deploy the application to multi-tier WebLogic clusters. How to define and configure the WebLogic domain for the tiered clusters hosting both data grid and client JEE applications.  Finally we will expose the data in grid to external systems using REST services and create a simple web interface to the underlying data using Oracle ADF Faces components. Join us on this technology webcast, to find out more about how Oracle Cloud Application Frameworks brings together the key industry leading technologies of Oracle Coherence and Weblogic 12c, delivering next-generation applications. Agenda: Introduction to Oracle Coherence What's new in 12c release POF annotations Live Events Elastic Data (Flash storage support) Managed Coherence Servers for Oracle WebLogic Coherence Applications (Grid Archive) Live Demonstration Creating and configuring Coherence Servers forming the data tier cluster Creating a simple Coherence Grid Application in Eclipse Adding REST support and creating simple ADF Faces client application Deploying the grid and client applications to separate tiers in WebLogic topology HA capabilities of the data tier Summary - Q&A Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Duration: 1 hour REGISTER NOW For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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• Poll Results: Foreign Key Constraints

  - by Darren Gosbell

  A few weeks ago I did the following post asking people – if they used foreign key constraints in their star schemas. The poll is still open if you are interested in adding to it, but here is what the chart looks like as of today. (at the bottom of the poll itself there is a link to the live results, unfortunately I cannot link the live results in here as the blogging platform blocks the required javascript)   Interestingly the results are fairly even. Of the 78 respondents, fractionally over half at least aim to start with referential integrity in their star schemas. I did not want to influence the results by sharing my opinion, but my personal preference is to always aim to have foreign key constraints. But at the same time, I am pragmatic about it, I do have projects where for various reasons some constraints are not defined. And I also have other designs that I have inherited, where it would just be too much work to go back and add foreign key constraints. If you are going to implement foreign keys in your star schema, they really need to be there at the start. In fact this poll was was the result of a feature request for BIDSHelper asking for a feature to check for null/missing foreign keys and I am entirely convinced that BIDS is the wrong place for this sort of functionality. BIDS is a design tool, your data needs to be constantly checked for consistency. It's not that I think that it's impossible to get a design working without foreign key constraints, but I like the idea of failing as soon as possible if there is an error and enforcing foreign key constraints lets me "fail early" if there are constancy issues with my data. By far the biggest concern with foreign keys is performance and I suppose I'm curious as to how often people actually measure and quantify this. I worked on a project a number of years ago that had very large data volumes and we did find that foreign key constraints did have a measurable impact, but what we did was to disable the constraints before loading the data, then enabled and checked them afterwards. This saved as time (although not as much as not having constraints at all), but still let us know early in the process if there were any consistency issues. For the people that do not have consistent data, if you have ETL processes that you control that are building your star schema which you also control, then to be blunt you only have yourself to blame. It is the job of the ETL process to make the data consistent. There are techniques for handling situations like missing data as well as  early and late arriving data. Ralph Kimball's book – The Data Warehouse Toolkit goes through some design patterns for handling data consistency. Having foreign key relationships can also help the relational engine to optimize queries as noted in this recent blog post by Boyan Penev

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• Coming to a City Near You: Oracle Business Analytics Summits

  - by Rob Reynolds

  More and more organizations use analytics to identify new business opportunities, reduce costs, and optimize business processes. How? By making business information available throughout the enterprise—and making sure that it is relevant, actionable, and easy to access.Oracle invites you to join us for an information-packed event where you’ll learn about the latest trends, best practices, and innovations in business intelligence, analytic applications, and data warehousing.If you are an IT professional involved in BI strategy, program management, systems management, architecture, or deployment, this event is for you. You’ll find out about: New ways of deploying and delivering business intelligence on premise, in the cloud, and on mobile devices to a diverse base of business users New approaches for integrating, storing, managing, securing, and accessing your ever-growing volumes of structured and unstructured data The latest strategies for dramatically increasing the ROI of your ERP and CRM deployments Click here to view the presentation abstracts. Agenda 9:00 a.m. Registration 10:00 a.m. Keynote: Business Analytics—Be the First to Know 11:00 a.m. Break Breakout Sessions Technology and Architecture Strategy Track Business Insight and Analytic Delivery Track 11:15 a.m. Emerging Trends in Enterprise BI Platforms 11:15 a.m. Mobile BI—More than Dashboards on a Tablet 12:00 noon Networking Lunch 12:00 noon Networking Lunch 1:00 p.m. Is Your Business Intelligence Data at Risk? 1:00 p.m. Geospatial Intelligence—Location, Location, Location! 1:45 p.m. What Extreme Performance Means for Your Business 1:45 p.m. The Role of BI in Your ERP and Performance Management Initiatives 2:30 p.m. Become a BI Architect 2:30 p.m. BI Applications: Step 1 in Your ERP Upgrade or Expansion 3:00 p.m. Partner Spotlight Registration links for each city are below: New York , NY- July 26 Miami, FL - July 27 Reston, VA, July 27 Atlanta, GA - July 28 Boston, MA - July 28 Rochester, NY - Aug 2 (event link coming soon!) Menlo Park, CA - August 2 Charlotte, NC - August 3 Newport Beach, CA - August 3 Register online at the links above or call 1.800.820.5592 ext. 9218 to reserve your place.

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• Real-time Big Data Analytics is a reality for StubHub with Oracle Advanced Analytics

  - by Mark Hornick

  What can you use for a comprehensive platform for real-time analytics? How can you process big data volumes for near-real-time recommendations and dramatically reduce fraud? Learn in this video what Stubhub achieved with Oracle R Enterprise from the Oracle Advanced Analytics option to Oracle Database, and read more on their story here. Advanced analytics solutions that impact the bottom line of a business are challenging due to the range of skills and individuals involved in realizing such solutions. While we hear a lot about the role of the data scientist, that role is but one piece of the puzzle. Advanced analytics solutions also have an operationalization aspect that also requires close proximity to where the transactional activity occurs. The data scientist needs access to the right data with which to model the business problem. This involves IT for data collection, management, and administration, as well as ensuring zero downtime (a website needs to be up 24x7). This also involves working with the data scientist to keep predictive models refreshed with the latest scripts. Integrating advanced analytics solutions into enterprise apps involves not just generating predictions, but supporting the whole life-cycle from data collection, to model building, model assessment, and then outcome assessment and feedback to the model building process again. Application and web interface designers need to take into account how end users will see and use the advanced analytics results, e.g., supporting operations staff that need to handle the potentially fraudulent transactions. As just described, advanced analytics projects can be "complicated" from just a human perspective. The extent to which software can simplify the interactions among users and systems will increase the likelihood of project success. The ability to quickly operationalize advanced analytics projects and demonstrate measurable value, means the difference between a successful project and just a nice research report. By standardizing on Oracle Database and SQL invocation of R, along with in-database modeling as found in Oracle Advanced Analytics, expedient model deployment and zero downtime for refreshing models becomes a reality. Meanwhile, data scientists are also able to explore leading edge techniques available in open source. The Oracle solution propels the entire organization forward to realize the value of advanced analytics.

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• Creating the Completely Customized World Just for YOU

  - by divya.malik

  OK so not a customized world, but do you know what goes into creating that customized web store front for you? How do you get those additional offers from vendors when you call in for service or when you are browsing a storefront. This is what is has been happening behind the scenes.  When a customer calls in a contact center for service, at the end of the conversation, they are offered a new product, or service. But what just transpired was that the CRM system that was in place had routed the call to the right agent, the agent got the pop up screen with the customer information, and the call request  was handled. Then came the decision point to cross-sell and up-sell, The agent got some recommended offers that were created based on analyzed data (this data had been put into a data warehouse, modeled, profiled and rules were implemented e.g.. People with profile X like product Y).  But with this system, what happens is that analytics can be applied to a very small subset. Now comes Real Time Decisioning (RTD), this helps companies make optimal decisions in the context of transactional systems. It enables companies to improve business processes with real time intelligence on every single transaction. RTD is like a service plug-in that you put at the back of your transactional systems and that you  ping to get a recommendation.  It listens to business process flows and data moving through the process, getting all that data, processes all that you can do with that data, and gives out out various offers. It takes a process centric view of analytics rather than just a data centric view. It continuously observes and learns from ever-changing customer behavior and applies those insights to providing real-time decisions and recommendations at any customer touch point. At Oracle we define Real Time Decisioning as “ The solution that addresses a business issue faced by all organizations : how to make accurate decisions, using the most up to date information, in real time…consistently and in large volumes”. Here is a video on recommendation engines that are benefiting from real time decisioning today and see how it is helping online vendors.

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• Windows Azure Recipe: Big Data

  - by Clint Edmonson

  As the name implies, what we’re talking about here is the explosion of electronic data that comes from huge volumes of transactions, devices, and sensors being captured by businesses today. This data often comes in unstructured formats and/or too fast for us to effectively process in real time. Collectively, we call these the 4 big data V’s: Volume, Velocity, Variety, and Variability. These qualities make this type of data best managed by NoSQL systems like Hadoop, rather than by conventional Relational Database Management System (RDBMS). We know that there are patterns hidden inside this data that might provide competitive insight into market trends.  The key is knowing when and how to leverage these “No SQL” tools combined with traditional business such as SQL-based relational databases and warehouses and other business intelligence tools. Drivers Petabyte scale data collection and storage Business intelligence and insight Solution The sketch below shows one of many big data solutions using Hadoop’s unique highly scalable storage and parallel processing capabilities combined with Microsoft Office’s Business Intelligence Components to access the data in the cluster. Ingredients Hadoop – this big data industry heavyweight provides both large scale data storage infrastructure and a highly parallelized map-reduce processing engine to crunch through the data efficiently. Here are the key pieces of the environment: Pig - a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Mahout - a machine learning library with algorithms for clustering, classification and batch based collaborative filtering that are implemented on top of Apache Hadoop using the map/reduce paradigm. Hive - data warehouse software built on top of Apache Hadoop that facilitates querying and managing large datasets residing in distributed storage. Directly accessible to Microsoft Office and other consumers via add-ins and the Hive ODBC data driver. Pegasus - a Peta-scale graph mining system that runs in parallel, distributed manner on top of Hadoop and that provides algorithms for important graph mining tasks such as Degree, PageRank, Random Walk with Restart (RWR), Radius, and Connected Components. Sqoop - a tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational databases. Flume - a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large log data amounts to HDFS. Database – directly accessible to Hadoop via the Sqoop based Microsoft SQL Server Connector for Apache Hadoop, data can be efficiently transferred to traditional relational data stores for replication, reporting, or other needs. Reporting – provides easily consumable reporting when combined with a database being fed from the Hadoop environment. Training These links point to online Windows Azure training labs where you can learn more about the individual ingredients described above. Hadoop Learning Resources (20+ tutorials and labs) Huge collection of resources for learning about all aspects of Apache Hadoop-based development on Windows Azure and the Hadoop and Windows Azure Ecosystems SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• asus n550jv audio problem: no sound from notebook' speakers

  - by skywalker

  Ubuntu 13.10. The problem is: the internal speakers don't work. I have no problem when I'm using the headphones. There is no hardware issue since in windows 8 everything works perfectly(external subwoofer included). I'm trying to modify /etc/modprobe.d/alsa-base.conf but I can't find the correct model to put into: options snd-hda-intel model= The file HD-Audio-Models.txt doesn't contain the model for ALC668. Some info: :~sudo aplay -l **** List of PLAYBACK Hardware Devices **** card 0: MID [HDA Intel MID], device 3: HDMI 0 [HDMI 0] Subdevices: 1/1 Subdevice #0: subdevice #0 card 0: MID [HDA Intel MID], device 7: HDMI 1 [HDMI 1] Subdevices: 1/1 Subdevice #0: subdevice #0 card 0: MID [HDA Intel MID], device 8: HDMI 2 [HDMI 2] Subdevices: 1/1 Subdevice #0: subdevice #0 card 1: PCH [HDA Intel PCH], device 0: ALC668 Analog [ALC668 Analog] Subdevices: 0/1 Subdevice #0: subdevice #0 :~$ sudo lspci -v | grep -A7 -i "audio" 00:03.0 Audio device: Intel Corporation Xeon E3-1200 v3/4th Gen Core Processor HD Audio Controller (rev 06) Subsystem: Intel Corporation Device 2010 Flags: bus master, fast devsel, latency 0, IRQ 52 Memory at f7a14000 (64-bit, non-prefetchable) [size=16K] Capabilities: [50] Power Management version 2 Capabilities: [60] MSI: Enable+ Count=1/1 Maskable- 64bit- Capabilities: [70] Express Root Complex Integrated Endpoint, MSI 00 Kernel driver in use: snd_hda_intel -- 00:1b.0 Audio device: Intel Corporation 8 Series/C220 Series Chipset High Definition Audio Controller (rev 04) Subsystem: ASUSTeK Computer Inc. Device 11cd Flags: bus master, fast devsel, latency 0, IRQ 53 Memory at f7a10000 (64-bit, non-prefetchable) [size=16K] Capabilities: [50] Power Management version 2 Capabilities: [60] MSI: Enable+ Count=1/1 Maskable- 64bit+ Capabilities: [70] Express Root Complex Integrated Endpoint, MSI 00 Capabilities: [100] Virtual Channel PS info :~$ amixer -c 0 Simple mixer control 'IEC958',0 Capabilities: pswitch pswitch-joined Playback channels: Mono Mono: Playback [on] Simple mixer control 'IEC958',1 Capabilities: pswitch pswitch-joined Playback channels: Mono Mono: Playback [on] Simple mixer control 'IEC958',2 Capabilities: pswitch pswitch-joined Playback channels: Mono Mono: Playback [on] :~$ pacmd dump-volumes Welcome to PulseAudio! Use "help" for usage information. Sink 0: reference = 0: 76% 1: 76%, real = 0: 76% 1: 76%, soft = 0: 100% 1: 100%, current_hw = 0: 76% 1: 76%, save = yes Input 8: volume = 0: 100% 1: 100%, reference_ratio = 0: 100% 1: 100%, real_ratio = 0: 100% 1: 100%, soft = 0: 100% 1: 100%, volume_factor = 0: 100% 1: 100%, volume_factor_sink = 0: 100% 1: 100%, save = no Source 0: reference = 0: 100% 1: 100%, real = 0: 100% 1: 100%, soft = 0: 100% 1: 100%, current_hw = 0: 100% 1: 100%, save = no Source 1: reference = 0: 16% 1: 16%, real = 0: 16% 1: 16%, soft = 0: 100% 1: 100%, current_hw = 0: 16% 1: 16%, save = yes

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• Tackling Big Data Analytics with Oracle Data Integrator

  - by Irem Radzik

  v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";}  By Mike Eisterer  The term big data draws a lot of attention, but behind the hype there's a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and documents that can be mined for useful information.  Companies are facing emerging technologies, increasing data volumes, numerous data varieties and the processing power needed to efficiently analyze data which changes with high velocity. Oracle offers the broadest and most 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 Data Integrator Enterprise Edition(ODI) is critical to any enterprise big data strategy. ODI and the Oracle Data Connectors provide native access to Hadoop, leveraging such technologies as MapReduce, HDFS and Hive. Alongside with ODI’s metadata driven approach for extracting, loading and transforming data; companies may now integrate their existing data with big data technologies and deliver timely and trusted data to their analytic and decision support platforms. In this session, you’ll learn about ODI and Oracle Big Data Connectors and how, coupled together, they provide the critical integration with multiple big data platforms. Tackling Big Data Analytics with Oracle Data Integrator October 1, 2012 12:15 PM at MOSCONE WEST – 3005 For other data integration sessions at OpenWorld, please check our Focus-On document.  If you are not able to attend OpenWorld, please check out our latest resources for Data Integration.

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• Swiss Re increases data warehouse performance and deploys in record time

  - by KLaker

  Great information on yet another data warehouse deployment on Exadata. A little background on Swiss Re: In 2002, Swiss Re established a data warehouse for its client markets and products to gather reinsurance information across all organizational units into an integrated structure. The data warehouse provided the basis for reporting at the group level with drill-down capability to individual contracts, while facilitating application integration and data exchange by using common data standards. Initially focusing on property and casualty reinsurance information only, it now includes life and health reinsurance, insurance, and nonlife insurance information. Key highlights of the benefits that Swiss Re achieved by using Exadata: Reduced the time to feed the data warehouse and generate data marts by 58% Reduced average runtime by 24% for standard reports comfortably loading two data warehouse refreshes per day with incremental feeds Freed up technical experts by significantly minimizing time spent on tuning activities Most importantly this was one of the fastest project deployments in Swiss Re's history. They went from installation to production in just four months! What is truly surprising is the that it only took two weeks between power-on to testing the machine with full data volumes! Business teams at Swiss Re are now able to fully exploit up-to-date analytics across property, casualty, life, health insurance, and reinsurance lines to identify successful products. These points are highlighted in the following quotes from Dr. Stephan Gutzwiller, Head of Data Warehouse Services at Swiss Re:  "We were operating a complete Oracle stack, including servers, storage area network, operating systems, and databases that was well optimized and delivered very good performance over an extended period of time. When a hardware replacement was scheduled for 2012, Oracle Exadata was a natural choice—and the performance increase was impressive. It enabled us to deliver analytics to our internal customers faster, without hiring more IT staff" “The high quality data that is readily available with Oracle Exadata gives us the insight and agility we need to cater to client needs. We also can continue re-engineering to keep up with the increasing demand without having to grow the organization. This combination creates excellent business value.” Our full press release is available here: http://www.oracle.com/us/corporate/customers/customersearch/swiss-re-1-exadata-ss-2050409.html. If you want more information about how Exadata can increase the performance of your data warehouse visit our home page: http://www.oracle.com/us/products/database/exadata-database-machine/overview/index.html

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