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  • Social Targeting: This One's Just for You

    - by Mike Stiles
    Think of social targeting in terms of the archery competition we just saw in the Olympics. If someone loaded up 5 arrows and shot them straight up into the air all at once, hoping some would land near the target, the world would have united in laughter. But sadly for hysterical YouTube video viewing, that’s not what happened. The archers sought to maximize every arrow by zeroing in on the spot that would bring them the most points. Marketers have always sought to do the same. But they can only work with the tools that are available. A firm grasp of the desired target does little good if the ad products aren’t there to deliver that target. On the social side, both Facebook and Twitter have taken steps to enhance targeting for marketers. And why not? As the demand to monetize only goes up, they’re quite motivated to leverage and deliver their incredible user bases in ways that make economic sense for advertisers. You could target keywords on Twitter with promoted accounts, and get promoted tweets into search. They would surface for your followers and some users that Twitter thought were like them. Now you can go beyond keywords and target Twitter users based on 350 interests in 25 categories. How does a user wind up in one of these categories? Twitter looks at that user’s tweets, they look at whom they follow, and they run data through some sort of Twitter secret sauce. The result is, you have a much clearer shot at Twitter users who are most likely to welcome and be responsive to your tweets. And beyond the 350 interests, you can also create custom segments that find users who resemble followers of whatever Twitter handle you give it. That means you can now use boring tweets to sell like a madman, right? Not quite. This ad product is still quality-based, meaning if you’re not putting out tweets that lead to interest and thus, engagement, that tweet will earn a low quality score and wind up costing you more under Twitter’s auction system to maintain. That means, as the old knight in “Indiana Jones and the Last Crusade” cautions, “choose wisely” when targeting based on these interests and categories to make sure your interests truly do line up with theirs. On the Facebook side, they’re rolling out ad targeting that uses email addresses, phone numbers, game and app developers’ user ID’s, and eventually addresses for you bigger brands. Why? Because you marketers asked for it. Here you were with this amazing customer list but no way to reach those same customers should they be on Facebook. Now you can find and communicate with customers you gathered outside of social, and use Facebook to do it. Fair to say such users are a sensible target and will be responsive to your message since they’ve already bought something from you. And no you’re not giving your customer info to Facebook. They’ll use something called “hashing” to make sure you don’t see Facebook user data (beyond email, phone number, address, or user ID), and Facebook can’t see your customer data. The end result, social becomes far more workable and more valuable to marketers when it delivers on the promise that made it so exciting in the first place. That promise is the ability to move past casting wide nets to the masses and toward concentrating marketing dollars efficiently on the targets most likely to yield results.

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  • Create a Loyalty Program That Sticks - Thursday 30 Minute Webcast

    - by Charles Knapp
    Loyalty programs don't necessarily translate into loyal or profitable customers. What are market leaders doing to retain customers? Webcast Alert: Live complimentary webcast, Creating a Holistic Loyalty Program That Sticks, on Thursday, 11/15 at 1:00-1:30 pm EST. Southwest Airlines joins 1to1 Media to share insights on developing loyalty programs that are focused on customer needs and preferences. Hope to see you there! 

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  • Devoxx Belgium - CFP Closes On July 5th

    - by Yolande Poirier
    The biggest Java conference in Europe is taking place in Antwerp, Belgium from November 11 to 15, 2013. The conference is designed by developers for developers and attracts renowned international speakers. The review committee looks for passionate speakers who are technically knowledgeable and not afraid to speak in front of a full room of Devoxxians. The speakers can increase CFP acceptance rate by submitting one or more talks for Tools in Action, Quickie, BOF, University session, Conference and Hands On Labs sessions.

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  • ADF is YouTubed

    - by Chris Muir
    A blog post along the lines of "your wishes are our command". ADF developers are hopefully aware of our ADF Insider Essentials recordings, a page full of presentations from small to large topics on all-things-ADF.  A couple of customers have pointed out these recordings aren't accessible via the iPad and other Apple OSX devices thanks to the recordings being wrapped in an Adobe Flash applet. To satisfy this need we've now uploaded all of the videos as MP4s to our ADF Insider Essentials YouTube channel for your iPad viewing pleasure.  So now regardless if you're sitting at your PC or on the couch with your iPad, you can enjoy my horrible Aussie accent amongst the more professional ADF presentations from my colleagues ;-) Make sure to subscribe to the YouTube channel to receive notifications of newly uploaded content. 

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  • Mobile Deals: the Consumer Wants You in Their Pocket

    - by Mike Stiles
    Mobile deals offer something we talk about a lot in social marketing, relevant content. If a consumer is already predisposed to liking your product and gets a timely deal for it that’s easy and convenient to use, not only do you score on the marketing side, it clearly generates some of that precious ROI that’s being demanded of social. First, a quick gut-check on the public’s adoption of mobile. Nielsen figures have 55.5% of US mobile owners using smartphones. If young people are indeed the future, you can count on the move to mobile exploding exponentially. Teens are the fastest growing segment of smartphone users, and 58% of them have one. But the largest demographic of smartphone users is 25-34 at 74%. That tells you a focus on mobile will yield great results now, and even better results straight ahead. So we can tell both from statistics and from all the faces around you that are buried in their smartphones this is where consumers are. But are they looking at you? Do you have a valid reason why they should? Everybody likes a good deal. BIA/Kelsey says US consumers will spend $3.6 billion this year for daily deals (the Groupons and LivingSocials of the world), up 87% from 2011. The report goes on to say over 26% of small businesses are either "very likely" or "extremely likely" to offer up a deal in the next 6 months. Retail Gazette reports 58% of consumers shop with coupons, a 40% increase in 4 years. When you consider that a deal can be the impetus for a real-world transaction, a first-time visit to a store, an online purchase, entry into a loyalty program, a social referral, a new fan or follower, etc., that 26% figure shows us there’s a lot of opportunity being left on the table by brands. The existing and emerging technologies behind mobile devices make the benefits of offering deals listed above possible. Take how mobile payment systems are being tied into deal delivery and loyalty programs. If it’s really easy to use a coupon or deal, it’ll get used. If it’s complicated, it’ll be passed over as “not worth it.” When you can pay with your mobile via technologies that connects store and user, you get the deal, you get the loyalty credit, you pay, and your receipt is uploaded, all in one easy swipe. Nothing to keep track of, nothing to lose or forget about. And the store “knows” you, so future offers will be based on your tastes. Consider the endgame. A customer who’s a fan of your belt buckle store’s Facebook Page is in one of your physical retail locations. They pull up your app, because they’ve gotten used to a loyalty deal being offered when they go to your store. Voila. A 10% discount active for the next 30 minutes. Maybe the app also surfaces social references to your brand made by friends so they can check out a buckle someone’s raving about. If they aren’t a fan of your Page or don’t have your app, perhaps they’ve opted into location-based deal services so you can still get them that 10% deal while they’re in the store. Or maybe they’ve walked in with a pre-purchased Groupon or Living Social voucher. They pay with one swipe, and you’ve learned about their buying preferences, credited their loyalty account and can encourage them to share a pic of their new buckle on social. Happy customer. Happy belt buckle company. All because the brand was willing to use the tech that’s available to meet consumers where they are, incentivize them, and show them how much they’re valued through rewards.

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  • Exadata X3 Expandability Update

    - by Bandari Huang
    Exadata Database Machine X3-2 Data Sheet New 10/29/2012 Up to 18 racks can be connected without requiring additional InfiniBand switches. Exadata Database Machine X3-8 Data Sheet New 10/24/2012 Scale by connecting multiple Exadata Database Machine X3-8 racks or Exadata Storage Expansion Racks. Up to 18 racks can be connected by simply connecting via InfiniBand cables. Larger configurations can be built with additional InfiniBand switches.  

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  • How to automate a monitoring system for ETL runs

    - by Jeffrey McDaniel
    Upon completion of the Primavera ETL process there are a few ways to determine if the process finished successfully.  First, in the <installation directory>\log folder,  there is a staretlprocess.log and staretl.html files. These files will give the output results of the ETL run. The staretl.html file will give a detailed summary of each step of the process, its run time, and its status. The .log file, based on the logging level set in the Configuration tool, can give extensive information about the ETL process. The log file can be used as a validation for process completion.  To automate the monitoring of these log files, perform the following steps: 1. Write a custom application to parse through the log file and search for [ERROR] . In most cases,  a major [ERROR] could cause the ETL process to fail. Searching the log and finding this value is worthy of an alert. 2. Determine the total number of steps in the ETL process, and validate that the log file recorded and entry for the final step.  For example validate that your log file contains an entry for Step 39/39 (could be different based on the version you are running). If there is no Step 39/39, then either the process is taking longer than expected or it didn't make it to the end.  Either way this would be a good cause for an alert. 3. Check the last line in the log file. The last line of the log file should contain an indication that the ETL run completed successfully. For example, the last line of a log file will say (results could be different based on Reporting Database versions):   [INFO] (Message) Finished Writing Report 4. You could write an Ant script to execute the ETL process and have it set to - failonerror="true" - and from there send results to an external tool to monitor the jobs, send to email, or send to database. With each ETL run, the log file appends to the existing log file by default. Because of this behavior, I would recommend renaming the existing log files before running a new ETL process. By doing this,  only log entries for the currently running ETL process is recorded in the new log files. Based on these log entries, alerts can be setup to notify the administrator or DBA. Another way to determine if the ETL process has completed successfully is to monitor the etl_processmaster table.  Depending on the Reporting Database version this could be in the Stage or Star databases. As of Reporting Database 2.2 and higher this would be in the Star database.  The etl_processmaster table records entries for the ETL run along with a Start and Finish time.  If the ETl process has failed the Finish date should be null. This table can be queried at a time when ETL process is expected to be finished and if null send an alert.  These are just some options. There are additional ways this can be accomplished based around these two areas - log files or database. Here is an additional query to gather more information about your ETL run (connect as Staruser): SELECT SYSDATE,test_script,decode(loc, 0, PROCESSNAME, trim(SUBSTR(PROCESSNAME, loc+1))) PROCESSNAME ,duration duration from ( select (e.endtime - b.starttime) * 1440 duration, to_char(b.starttime, 'hh24:mi:ss') starttime, to_char(e.endtime, 'hh24:mi:ss') endtime,  b.PROCESSNAME, instr(b.PROCESSNAME, ']') loc, b.infotype test_script from ( select processid, infodate starttime, PROCESSNAME, INFOMSG, INFOTYPE from etl_processinfo  where processid = (select max(PROCESSID) from etl_processinfo) and infotype = 'BEGIN' ) b  inner Join ( select processid, infodate endtime, PROCESSNAME, INFOMSG, INFOTYPE from etl_processinfo  where processid = (select max(PROCESSID) from etl_processinfo) and infotype = 'END' ) e on b.processid = e.processid  and b.PROCESSNAME = e.PROCESSNAME order by b.starttime)

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  • Celery daemon as a Ubuntu service does not consume tasks while running from terminal does

    - by Guy
    On Ubuntu 11.10, I have to issue python tasks from django using celery. I'm currently testing on the same machine but eventually the celery worker should run on a remote machine. django uses the following settings: BROKER_HOST = "127.0.0.1" BROKER_PORT = 5672 BROKER_VHOST = "/my_vhost" BROKER_USER = "celery" BROKER_PASSWORD = "celery" I can also see my task queued in http://localhost:55672/#/queues the celery daemon uses the following configuration (celeryconfig.py): BROKER_HOST = "127.0.0.1" BROKER_PORT = 5672 BROKER_USER = "celery" BROKER_PASSWORD = "celery" BROKER_VHOST = "/my_vhost" CELERY_RESULT_BACKEND = "amqp" import os import sys sys.path.append(os.getcwd()) CELERY_IMPORTS = ("tasks", ) running celeryd -l info works well and now I want to run it as a service. I've followed the instructions from http://ask.github.com/celery/cookbook/daemonizing.html and now I'm trying to run it using: sudo /etc/init.d/celeryd start But the message is not being consumed, no error in the celery log either. /etc/default/celeryd CELERYD_NODES="w1" CELERYD_CHDIR="/path/to/django/project" CELERYD_OPTS="--time-limit=300 --concurrency=1" CELERY_CONFIG_MODULE="celeryconfig" # %n will be replaced with the nodename. CELERYD_LOG_FILE="/var/log/celery/%n.log" CELERYD_PID_FILE="/var/run/celery/%n.pid" # Workers should run as an unprivileged user. CELERYD_USER="celery" CELERYD_GROUP="celery" I've also created user celery in Ubuntu not sure if its necessary. Any help will be appreciated, Thanks, Guy

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  • Interactive Reporting Translation Workbench utility is available

    - by THE
    As you may have seen in our  Newsletter, Oracle has released the "Oracle Hyperion Interactive Reporting Translation Workbench" for Hyperion Interactive Reporting (IR) customers who are moving to Oracle Business Intelligence Enterprise Edition (OBIEE). A summary for this utility can be found  here. To get the Utility along with documentation and training material we suggest that you visit the Oracle Technology Network ( OTN ) "Oracle Hyperion Interactive Reporting Downloads" page. Friendly enough, instead of hundreds of pages of "getting started Docs", Oracle has packed some training videos into the downloads, so that getting started is made as easy as possible. But of course the documentation comes with it as well.

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  • 20 Jahre Solaris - 25 Jahre SPARC!

    - by Stefan Hinker
    Normalerweise wiederhole ich ja nicht einfach das, was woanders schon steht.  Hier mache ich eine Ausnahme... 20 Jahre Solaris - Und wer hat die ganzen Innovationspreise bekommen?25 Jahre SPARC - und kein bisschen muede :-) Wie die Geschichte weiter geht, steht ganz unten auf diesen Seite - also schnell nachsehen... Und wer's lieber als Video mag: 20 Jahre Solaris - 25 Jahre SPARC (Kaum zu glauben, ich habe nur die ersten 4 Jahre von Solaris "verpasst".  Die Zeit vergeht wohl doch...)

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  • Service Layer - how broad should it be, and should it be used also on the local application?

    - by BornToCode
    Background: I need to build a main application with some operations (CRUD and more) (-in winforms), I need to make another application which will re-use some of the functions of the main application (-in webforms). I understood that using service layer is the best approach here. If I understood correctly the service should be calling the function on the BL layer (correct me if I'm wrong) The dilemma: In my main winform UI - should I call the functions from the BL, or from the service? (please explain why) Should I create a service for every single function on the BL even if I need some of the functions only in one UI? for example - should I create services for all the CRUD operations, even though I need to re-use only update operation in the webform? YOUR HELP IS MUCH APPRECIATED

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  • iPad : Apple lance un service d'abonnement aux contenus en ligne intégré aux applications de l'App Store et crée la polémique

    Apple lance un service d'abonnement aux contenus en ligne Intégré aux applications de l'App Store et crée la polémique Mise à jour du 16/02/2011 Apple vient d'annoncer le lancement de son service d'abonnement aux divers types de contenus (magazines, journaux, musiques, vidéos) sur l'App Store. Un service inauguré en avant-première avec « The Daily »,un quotidien exclusivement numérique et diffusé sur l'iPad. Les éditeurs de contenus auront la liberté de fixer les prix, la durée et les termes de l'abonnement d'après le document rédigé par un Steve Jobs convalescent mais toujours très impliqué dans ...

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  • Iterative and Incremental Principle Series 1: The Dreaded Assignment

    - by llowitz
    A few days ago, while making breakfast for my teenage son… he turned to me and happily exclaimed, “I really like how my high school Government class assigns our reading homework.  In middle school, we had to read a chapter each week.  Everyone dreaded it.  In high school, our teacher assigns us a section or two every day.  We still end up reading a chapter each week, but this way is so much easier and I’m actually remembered what I’ve read!” Wow!  Once I recovered from my initial shock that my high school son actually initiated conversation with me, it struck me that he was describing one of the five basic OUM principles -- Iterative and Incremental.   Not only did he describe how his teacher divided a week long assignment into daily increments, but he went on to communicate some of the major benefits of having shorter, more achievable milestones.  I started to think about other applications of the iterative and incremental approach and I realized that I had incorporated this approach when I recently rededicated myself to physical fitness.  Join me over the next four days as I present an Iterative and Incremental blog series where I relate my personal experience incorporating the iterative and incremental approach and the benefits that I achieved.

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  • Kostenlose Openbooks: Handbuch zu Ubuntu GNU/Linux 12.04 LTS

    - by britta wolf
    Ab sofort steht das umfassende Handbuch zu Ubuntu GNU/Linux 12.04 LTS als kostenloses Openbook auf der Website von Galileo Computing zur Verfügung. Mit diesem Standardwerk lernt man alles Wissenswerte über die Linux-Distribution Ubuntu »Precise Pangolin« kennen. Das Buch überzeugt durch seine Themenvielfalt und Vollständigkeit. Von der Installation, der Benutzeroberfläche »Unity«, der Paketverwaltung über Optimierung, Programmierung, Migration und Kernelkompilierung bis hin zur Virtualisierung und Serverkonfiguration finden die Leser alle wichtigen Fragen in diesem über 1.000 Seiten starken Buch beantwortet. Darüber hinaus profitieren sie von mehr als 300 eigens gekennzeichneten Tipps und Tricks sowie von zahlreichen Praxisworkshops. Sowohl Einsteiger, erfahrene Anwender als auch Profis profitieren von diesem Handbuch. Die HTML-Version kann bequem im Browser gelesen werden. Das gedruckte Buch ist im Buchhandel erhältlich. Link zum Openbook: http://openbook.galileocomputing.de/ubuntu/ 

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  • Another Custom Property Locator: a Library of Books

    - by Cindy McMullen
    Introduction The previous post gave an introduction to custom property locators and showed how create one using JDeveloper.  This post continues on the custom locator theme, with a slightly more complex locator: a library of books.  It demonstrates using the DAO pattern to delegate data access from the Locator, which is likely how many actual backing stores will integrate with the Locator.  You can imagine, rather than a library of books, the data store might be a user database of sorts.  The same sort of pattern would apply. This post uses the BookLocator example originally shown in the WebCenter documentation, but has: updated the source code to reflect the final Property APIs includes the steps for generating the namespace and property definition files via JDeveloper detailed usage of the PropertyService APIs Getting Started If you're new to JDeveloper, you might want to check out this tutorial.  There is also the "Jump-Start to using Personalization" blog post that you might find useful.  Otherwise, if you're already familiar with both, you can skip those tutorials and jump right in to using JDeveloper. Download the BookLocator.zip file (which has been updated from the original post) and unzip it to a new directory.  Start JDeveloper, navigate to the BookLocator.jws file, and open it.   It should look something like this: The Properties Namespace file contains the property definitions and property set definitions you define.  It is explained more in detail in the Namespace documentation.  Although this example doesn't show it, the property set definitions have the ability to reference multiple locators per property.   This can be done by right-clicking on the 'Locator Info' box.  Configure the contents of the Locator Map  by editing locators and mapping them to available property names in the property set definition. Compiling, deploying, and running your locator The rest of the steps in this tutorial basically follow those in the previous blog on custom locators, and won't be repeated here.   A scenario to invoke your locator is included with the sample app: see BookProperties.scenarios_diagram above.  Summary This post demonstrates a simple library of books accessed by the BookPropertyLocator via the DAO layer.  This is a useful pattern for more realistic property retrievals, such as a backing user store.  It also points out the possibility of retrieving properties from multiple locators, which would be quite handy to retrieve user attributes from multiple sources.

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  • Recordings Available - Features & Functions Forms Module

    - by MHundal
    ETPM provides robust Forms functionality that allows implementations to configure Registration & Tax Forms, configure Form Rules and process the Forms.  The Forms Definition allows for defining the Form Sections and Form Lines.  The Forms Generator uses the Forms Definition details to create the necessary Business Objects, Application Security and User Interfaces to allow interaction with the Forms.  Form Rules are used for validation of the Form Line details and creating entities in the system (creating taxpayers, accounts, financial transactions, etc...). The following recordings provide an overview of the Forms Definition Process, Form Rules and other important concepts part of the Forms Module. Forms Module Overview:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=66851417&rKey=7de22df4978e7974 Forms Configuration Overview:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=66964342&rKey=ea564cfd701bb32d Form Rules Overview:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=66966652&rKey=2e02c1e28e058d70  

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  • Four Easy Ways to Save a Rocky CRM Relationship

    - by Divya Malik
     Today, I am pleased to introduce our guest blogger Luke Christianson. Luke is  an Application Sales rep based out of Minneapolis, MN.  You can find him on LinkedIn and follow him on Twitter. In any relationship, sooner or later, the excitement fades away.  The honeymoon period gives way to the old routines you had, before you committed to each other and you eventually begin doing things apart from one another.  I’m not talking about a marriage…  Well, I guess I am.Commitment to a CRM tool and building a deep and lasting relationship is not much different than the basics of a traditional love story.  After your controlled CRM pilot program, and maybe the National Sales Meeting where you couldn’t escape those three wonderful letters, CRM, you will soon find that if you haven’t designed an environment where it’s going to enable your reps to make more money, the relationship is doomed.   . If you’re currently in a dysfunctional CRM relationship, here are 4 simple tips to re-engaging users and getting that spark back. Shadow a Sales Rep:   Chances are you can find out exactly what is preventing your sales reps from using the application by simply watching how they go about their day.  Sales reps are driven by money, not by additional administrative duties.  Your system needs to be setup so that they can get the information they need quickly, facilitate making key updates and run their business out of one easy-to-use application.  Increase your sales team’s productivity by 5% automatically:    Cancel the weekly forecast calls with your reps and require them update their opportunities in CRM.  Something else that I’ve seen work extremely well, is when you do Monthly or Quarterly reviews, do not let your sales reps bring anything into the room with them; no spreadsheets, notebooks, or computers.  Everything they need to tell you should be able to be put into CRM and fully accessible by the Sales Manager at any time.  Tool time:      Make sure the tools that you have selected meet both your short-term goals and your long term goals.   You need tools that can adapt like your business does.  You probably can’t wait two months for an update to a picklist value or for the addition of a simple workflow rule.  Do you feel the tools that are in place can create the experience you want for your users? and finally, if all else fails... Keep It Simple, Stupid:     Do you really need to require 15 fields to create an Opportunity?  Do you need to clutter the interface with different reports that don’t add daily value?  Most CRM systems on the market today are flexible enough today that your admin could clean up most of the unnecessary interface ‘noise’ in a few hours.  If they're not, see #3. Every strong relationship can be tedious at times, you’ll fight and eventually make amends, you may even threaten to upgrade to a newer model…  But be patient and think about what you want to achieve and you’ll find a partner for life.

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  • Same SELECT used in an INSERT has different execution plan

    - by amacias
    A customer complained that a query and its INSERT counterpart had different execution plans, and of course, the INSERT was slower. First lets look at the SELECT : SELECT ua_tr_rundatetime,        ua_ch_treatmentcode,        ua_tr_treatmentcode,        ua_ch_cellid,        ua_tr_cellid FROM   (SELECT DISTINCT CH.treatmentcode AS UA_CH_TREATMENTCODE,                         CH.cellid        AS UA_CH_CELLID         FROM    CH,                 DL         WHERE  CH.contactdatetime > SYSDATE - 5                AND CH.treatmentcode = DL.treatmentcode) CH_CELLS,        (SELECT DISTINCT T.treatmentcode AS UA_TR_TREATMENTCODE,                         T.cellid        AS UA_TR_CELLID,                         T.rundatetime   AS UA_TR_RUNDATETIME         FROM    T,                 DL         WHERE  T.treatmentcode = DL.treatmentcode) TRT_CELLS WHERE  CH_CELLS.ua_ch_treatmentcode(+) = TRT_CELLS.ua_tr_treatmentcode;  The query has 2 DISTINCT subqueries.  The execution plan shows one with DISTICT Placement transformation applied and not the other. The view in Step 5 has the prefix VW_DTP which means DISTINCT Placement. -------------------------------------------------------------------- | Id  | Operation                    | Name            | Cost (%CPU) -------------------------------------------------------------------- |   0 | SELECT STATEMENT             |                 |   272K(100) |*  1 |  HASH JOIN OUTER             |                 |   272K  (1) |   2 |   VIEW                       |                 |  4408   (1) |   3 |    HASH UNIQUE               |                 |  4408   (1) |*  4 |     HASH JOIN                |                 |  4407   (1) |   5 |      VIEW                    | VW_DTP_48BAF62C |  1660   (2) |   6 |       HASH UNIQUE            |                 |  1660   (2) |   7 |        TABLE ACCESS FULL     | DL              |  1644   (1) |   8 |      TABLE ACCESS FULL       | T               |  2744   (1) |   9 |   VIEW                       |                 |   267K  (1) |  10 |    HASH UNIQUE               |                 |   267K  (1) |* 11 |     HASH JOIN                |                 |   267K  (1) |  12 |      PARTITION RANGE ITERATOR|                 |   266K  (1) |* 13 |       TABLE ACCESS FULL      | CH              |   266K  (1) |  14 |      TABLE ACCESS FULL       | DL              |  1644   (1) -------------------------------------------------------------------- Query Block Name / Object Alias (identified by operation id): -------------------------------------------------------------    1 - SEL$1    2 - SEL$AF418D5F / TRT_CELLS@SEL$1    3 - SEL$AF418D5F    5 - SEL$F6AECEDE / VW_DTP_48BAF62C@SEL$48BAF62C    6 - SEL$F6AECEDE    7 - SEL$F6AECEDE / DL@SEL$3    8 - SEL$AF418D5F / T@SEL$3    9 - SEL$2        / CH_CELLS@SEL$1   10 - SEL$2   13 - SEL$2        / CH@SEL$2   14 - SEL$2        / DL@SEL$2 Predicate Information (identified by operation id): ---------------------------------------------------    1 - access("CH_CELLS"."UA_CH_TREATMENTCODE"="TRT_CELLS"."UA_TR_TREATMENTCODE")    4 - access("T"."TREATMENTCODE"="ITEM_1")   11 - access("CH"."TREATMENTCODE"="DL"."TREATMENTCODE")   13 - filter("CH"."CONTACTDATETIME">SYSDATE@!-5) The outline shows PLACE_DISTINCT(@"SEL$3" "DL"@"SEL$3") indicating that the QB3 is the one that got the transformation. Outline Data -------------   /*+       BEGIN_OUTLINE_DATA       IGNORE_OPTIM_EMBEDDED_HINTS       OPTIMIZER_FEATURES_ENABLE('11.2.0.3')       DB_VERSION('11.2.0.3')       ALL_ROWS       OUTLINE_LEAF(@"SEL$2")       OUTLINE_LEAF(@"SEL$F6AECEDE")       OUTLINE_LEAF(@"SEL$AF418D5F") PLACE_DISTINCT(@"SEL$3" "DL"@"SEL$3")       OUTLINE_LEAF(@"SEL$1")       OUTLINE(@"SEL$48BAF62C")       OUTLINE(@"SEL$3")       NO_ACCESS(@"SEL$1" "TRT_CELLS"@"SEL$1")       NO_ACCESS(@"SEL$1" "CH_CELLS"@"SEL$1")       LEADING(@"SEL$1" "TRT_CELLS"@"SEL$1" "CH_CELLS"@"SEL$1")       USE_HASH(@"SEL$1" "CH_CELLS"@"SEL$1")       FULL(@"SEL$2" "CH"@"SEL$2")       FULL(@"SEL$2" "DL"@"SEL$2")       LEADING(@"SEL$2" "CH"@"SEL$2" "DL"@"SEL$2")       USE_HASH(@"SEL$2" "DL"@"SEL$2")       USE_HASH_AGGREGATION(@"SEL$2")       NO_ACCESS(@"SEL$AF418D5F" "VW_DTP_48BAF62C"@"SEL$48BAF62C")       FULL(@"SEL$AF418D5F" "T"@"SEL$3")       LEADING(@"SEL$AF418D5F" "VW_DTP_48BAF62C"@"SEL$48BAF62C" "T"@"SEL$3")       USE_HASH(@"SEL$AF418D5F" "T"@"SEL$3")       USE_HASH_AGGREGATION(@"SEL$AF418D5F")       FULL(@"SEL$F6AECEDE" "DL"@"SEL$3")       USE_HASH_AGGREGATION(@"SEL$F6AECEDE")       END_OUTLINE_DATA   */ The 10053 shows there is a comparative of cost with and without the transformation. This means the transformation belongs to Cost-Based Query Transformations (CBQT). In SEL$3 the optimization of the query block without the transformation is 6659.73 and with the transformation is 4408.41 so the transformation is kept. GBP/DP: Checking validity of GBP/DP for query block SEL$3 (#3) DP: Checking validity of distinct placement for query block SEL$3 (#3) DP: Using search type: linear DP: Considering distinct placement on query block SEL$3 (#3) DP: Starting iteration 1, state space = (5) : (0) DP: Original query DP: Costing query block. DP: Updated best state, Cost = 6659.73 DP: Starting iteration 2, state space = (5) : (1) DP: Using DP transformation in this iteration. DP: Transformed query DP: Costing query block. DP: Updated best state, Cost = 4408.41 DP: Doing DP on the original QB. DP: Doing DP on the preserved QB. In SEL$2 the cost without the transformation is less than with it so it is not kept. GBP/DP: Checking validity of GBP/DP for query block SEL$2 (#2) DP: Checking validity of distinct placement for query block SEL$2 (#2) DP: Using search type: linear DP: Considering distinct placement on query block SEL$2 (#2) DP: Starting iteration 1, state space = (3) : (0) DP: Original query DP: Costing query block. DP: Updated best state, Cost = 267936.93 DP: Starting iteration 2, state space = (3) : (1) DP: Using DP transformation in this iteration. DP: Transformed query DP: Costing query block. DP: Not update best state, Cost = 267951.66 To the same query an INSERT INTO is added and the result is a very different execution plan. INSERT  INTO cc               (ua_tr_rundatetime,                ua_ch_treatmentcode,                ua_tr_treatmentcode,                ua_ch_cellid,                ua_tr_cellid)SELECT ua_tr_rundatetime,       ua_ch_treatmentcode,       ua_tr_treatmentcode,       ua_ch_cellid,       ua_tr_cellidFROM   (SELECT DISTINCT CH.treatmentcode AS UA_CH_TREATMENTCODE,                        CH.cellid        AS UA_CH_CELLID        FROM    CH,                DL        WHERE  CH.contactdatetime > SYSDATE - 5               AND CH.treatmentcode = DL.treatmentcode) CH_CELLS,       (SELECT DISTINCT T.treatmentcode AS UA_TR_TREATMENTCODE,                        T.cellid        AS UA_TR_CELLID,                        T.rundatetime   AS UA_TR_RUNDATETIME        FROM    T,                DL        WHERE  T.treatmentcode = DL.treatmentcode) TRT_CELLSWHERE  CH_CELLS.ua_ch_treatmentcode(+) = TRT_CELLS.ua_tr_treatmentcode;----------------------------------------------------------| Id  | Operation                     | Name | Cost (%CPU)----------------------------------------------------------|   0 | INSERT STATEMENT              |      |   274K(100)|   1 |  LOAD TABLE CONVENTIONAL      |      |            |*  2 |   HASH JOIN OUTER             |      |   274K  (1)|   3 |    VIEW                       |      |  6660   (1)|   4 |     SORT UNIQUE               |      |  6660   (1)|*  5 |      HASH JOIN                |      |  6659   (1)|   6 |       TABLE ACCESS FULL       | DL   |  1644   (1)|   7 |       TABLE ACCESS FULL       | T    |  2744   (1)|   8 |    VIEW                       |      |   267K  (1)|   9 |     SORT UNIQUE               |      |   267K  (1)|* 10 |      HASH JOIN                |      |   267K  (1)|  11 |       PARTITION RANGE ITERATOR|      |   266K  (1)|* 12 |        TABLE ACCESS FULL      | CH   |   266K  (1)|  13 |       TABLE ACCESS FULL       | DL   |  1644   (1)----------------------------------------------------------Query Block Name / Object Alias (identified by operation id):-------------------------------------------------------------   1 - SEL$1   3 - SEL$3 / TRT_CELLS@SEL$1   4 - SEL$3   6 - SEL$3 / DL@SEL$3   7 - SEL$3 / T@SEL$3   8 - SEL$2 / CH_CELLS@SEL$1   9 - SEL$2  12 - SEL$2 / CH@SEL$2  13 - SEL$2 / DL@SEL$2Predicate Information (identified by operation id):---------------------------------------------------   2 - access("CH_CELLS"."UA_CH_TREATMENTCODE"="TRT_CELLS"."UA_TR_TREATMENTCODE")   5 - access("T"."TREATMENTCODE"="DL"."TREATMENTCODE")  10 - access("CH"."TREATMENTCODE"="DL"."TREATMENTCODE")  12 - filter("CH"."CONTACTDATETIME">SYSDATE@!-5)Outline Data-------------  /*+      BEGIN_OUTLINE_DATA      IGNORE_OPTIM_EMBEDDED_HINTS      OPTIMIZER_FEATURES_ENABLE('11.2.0.3')      DB_VERSION('11.2.0.3')      ALL_ROWS      OUTLINE_LEAF(@"SEL$2")      OUTLINE_LEAF(@"SEL$3")      OUTLINE_LEAF(@"SEL$1")      OUTLINE_LEAF(@"INS$1")      FULL(@"INS$1" "CC"@"INS$1")      NO_ACCESS(@"SEL$1" "TRT_CELLS"@"SEL$1")      NO_ACCESS(@"SEL$1" "CH_CELLS"@"SEL$1")      LEADING(@"SEL$1" "TRT_CELLS"@"SEL$1" "CH_CELLS"@"SEL$1")      USE_HASH(@"SEL$1" "CH_CELLS"@"SEL$1")      FULL(@"SEL$2" "CH"@"SEL$2")      FULL(@"SEL$2" "DL"@"SEL$2")      LEADING(@"SEL$2" "CH"@"SEL$2" "DL"@"SEL$2")      USE_HASH(@"SEL$2" "DL"@"SEL$2")      USE_HASH_AGGREGATION(@"SEL$2")      FULL(@"SEL$3" "DL"@"SEL$3")      FULL(@"SEL$3" "T"@"SEL$3")      LEADING(@"SEL$3" "DL"@"SEL$3" "T"@"SEL$3")      USE_HASH(@"SEL$3" "T"@"SEL$3")      USE_HASH_AGGREGATION(@"SEL$3")      END_OUTLINE_DATA  */ There is no DISTINCT Placement view and no hint.The 10053 trace shows a new legend "DP: Bypassed: Not SELECT"implying that this is a transformation that it is possible only for SELECTs. GBP/DP: Checking validity of GBP/DP for query block SEL$3 (#4) DP: Checking validity of distinct placement for query block SEL$3 (#4) DP: Bypassed: Not SELECT. GBP/DP: Checking validity of GBP/DP for query block SEL$2 (#3) DP: Checking validity of distinct placement for query block SEL$2 (#3) DP: Bypassed: Not SELECT. In 12.1 (and hopefully in 11.2.0.4 when released) the restriction on applying CBQT to some DMLs and DDLs (like CTAS) is lifted.This is documented in BugTag Note:10013899.8 Allow CBQT for some DML / DDLAnd interestingly enough, it is possible to have a one-off patch in 11.2.0.3. SQL> select DESCRIPTION,OPTIMIZER_FEATURE_ENABLE,IS_DEFAULT     2  from v$system_fix_control where BUGNO='10013899'; DESCRIPTION ---------------------------------------------------------------- OPTIMIZER_FEATURE_ENABLE  IS_DEFAULT ------------------------- ---------- enable some transformations for DDL and DML statements 11.2.0.4                           1

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  • OBIA on Teradata - Part 1 Loader and Monitoring

    - by Mohan Ramanuja
    Normal 0 false false false EN-US X-NONE X-NONE /* 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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The out-of-the-box (OOB) OBIA Informatica mappings come with TPump loader.   TPUMP  FASTLOAD TPump does not lock the table. FastLoad applies exclusive lock on the table. The table that TPump is loading can have data. The table that FastLoad is loading needs to be empty. Normal 0 false false false EN-US X-NONE X-NONE /* 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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} TPump is not efficient with lookups. FastLoad is more efficient in the absence of lookups. Normal 0 false false false EN-US X-NONE X-NONE /* 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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The out-of the box Informatica mappings come with TPump loader. There is chance for bottleneck in writer thread The out-of the box tables in Teradata supplied with OBAW features all Dimension and Fact tables using ROW_WID as the key for primary index. Also, all staging tables use integration_id as the key for primary index. This reduces skewing of data across Teradata AMPs.You can use an SQL statement similar to the following to determine if data for a given table is distributed evenly across all AMP vprocs. The SQL statement displays the AMP with the most used through the AMP with the least-used space, investigating data distribution in the Message table in database RST.SELECT vproc,CurrentPermFROM DBC.TableSizeWHERE Databasename = ‘PRJ_CRM_STGC’AND Tablename = ‘w_party_per_d’ORDER BY 2 descIf you suspect distribution problems (skewing) among AMPS, the following is a sample of what you might enter for a three-column PI:SELECT HASHAMP (HASHBUCKET (HASHROW (col_x, col_y, col_z))), count (*)FROM hash15GROUP BY 1ORDER BY 2 desc; ETL Error Monitoring Error Table – These are tables that start with ET. Location and name can be specified in Informatica session as well as the loader connection.Loader Log – Loader log is available in the Informatica server under the session log folder. These give feedback on the loader parameters such as Packing Factor to use. These however need to be monitored in the production environment. The recommendations made in one environment may not be used in another environment.Log Table – These are tables that start with TL. These are sparse on information.Bad File – This is the Informatica file generated in case there is data quality issues

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  • Master Data Management – A Foundation for Big Data Analysis

    - by Manouj Tahiliani
    While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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  • Social Engagement: One Size Doesn't Fit Anyone

    - by Mike Stiles
    The key to achieving meaningful social engagement is to know who you’re talking to, know what they like, and consistently deliver that kind of material to them. Every magazine for women knows this. When you read the article titles promoted on their covers, there’s no mistaking for whom that magazine is intended. And yet, confusion still reigns at many brands as to exactly whom they want to talk to, what those people want to hear, and what kind of content they should be creating for them. In most instances, the root problem is brands want to be all things to all people. Their target audience…the world! Good luck with that. It’s 2012, the age of aggregation and custom content delivery. To cope with the modern day barrage of information, people have constructed technological filters so that content they regard as being “for them” is mostly what gets through. Even if your brand is for men and women, young and old, you may want to consider social properties that divide men from women, and young from old. Yes, a man might find something in a women’s magazine that interests him. But that doesn’t mean he’s going to subscribe to it, or buy even one issue. In fact he’ll probably never see the article he’d otherwise be interested in, because in his mind, “This isn’t for me.” It wasn’t packaged for him. News Flash: men and women are different. So it’s a tall order to craft your Facebook Page or Twitter handle to simultaneously exude the motivators for both. The Harris Interactive study “2012 Connecting and Communicating Online: State of Social Media” sheds light on the differing social behaviors and drivers. -65% of women (vs. 59% of men) stay glued to social because they don’t want to miss anything. -25% of women check social when they wake up, before they check email. Only 18% of men check social before e-mail. -95% of women surveyed belong to Facebook vs. 86% of men. -67% of women log in to Facebook once a day or more vs. 54% of men. -Conventional wisdom is Pinterest is mostly a woman-thing, right? That may be true for viewing, but not true for sharing. Men are actually more likely to share on Pinterest than women, 23% to 10%. -The sharing divide extends to YouTube. 68% of women use it mainly for consumption, as opposed to 52% of men. -Women are as likely to have a Twitter account as men, but they’re much less likely to check it often. 54% of women check it once a week compared to 2/3 of men. Obviously, there are some takeaways from this depending on your target. Women don’t want to miss out on anything, so serialized content might be a good idea, right? Promotional posts that lead to a big payoff could keep them hooked. Posts for women might be better served first thing in the morning. If sharing is your goal, maybe male-targeted content is more likely to get those desired shares. And maybe Twitter is a better place to aim your male-targeted content than Facebook. Some grocery stores started experimenting with male-only aisles. The results have been impressive. Why? Because while it’s true men were finding those same items in the store just fine before, now something has been created just for them. They have a place in the store where they belong. Each brand’s strategy and targets are going to differ. The point is…know who you’re talking to, know how they behave, know what they like, and deliver content using any number of social relationship management targeting tools that meets their expectations. If, however, you’re committed to a one-size-fits-all, “our content is for everybody” strategy (or even worse, a “this is what we want to put out and we expect everybody to love it” strategy), your content will miss the mark for more often than it hits. @mikestilesPhoto via stock.schng

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  • NightHacking Tour Across Europe

    - by Tori Wieldt
    Java Evangelist Stephen Chin (@steveonjava) is motorcycling across Europe, and dropping in on developers and Java User Groups to talk about Java and do some hacking. What's cool is you'll be able to be a part of it too: watch via live streaming, and interact using #nighthacking on Twitter. The tour will kickoff stateside with a visit to James Gosling (Father of the Java Language) - Wednesday Oct 24 at 11AM  PST.  Some noteworthy stops on the tour include: Ben Evans (LJC Leader and Author) - Saturday Oct 27 at 8PM BST (12PM PST) Adam Bien (Java Champion and Author) - Friday Nov 2 at 11AM CEST (2AM PST) Andres Almiray (Griffon Founder and Author) - Sunday Nov 4 at 8PM CEST (11AM PST) In total, there will be over 20 different interviews, several JUG visits, and special coverage of J-Fall and Devoxx conference.You can view the full schedule and watch streaming video at nighthacking.com.

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  • 4 Ways Your Brand Can Jump From the Edge of Space

    - by Mike Stiles
    Can your brand’s social media content captivate the world and make it hold its collective breath? Can you put something on the screen that’s so compelling that your audience can’t look away? Will they want to make sure their friends see it so they can talk about it? If not, you’re probably not with Red Bull. I was impressed with Red Bull’s approach to social content even before Felix Baumgartner’s stunning skydive from the edge of space. And then they did this. According to Visible Measures, videos of the jump scored 50 million views in 4 days. 1,700 clips were generated from both official and organic sources. The live stream was the most watched YouTube Stream of all time (8 million concurrent viewers). The 2nd most watched live stream was…Felix’ first attempt Oct. 9. Are you ready to compete with that? I ask that question because some brands are still out there tying themselves up in knots about whether or not they should tweet. The public’s time and attention are scarce commodities, commodities they value greatly. The competition amongst brands for that time and attention is intense and going up like Felix’s capsule. If you still view your press releases as “content,” you won’t even be counted as being among the competition. Here are 5 lessons learned from Red Bull’s big leap: 1. They have a total understanding of their target market and audience. Not only do they have an understanding of it, they do something about it. They act on it. They fill the majority of their thoughts with what the audience wants. They hunger for wild applause from that audience. They want to do things that embrace the audience’s lifestyle and immerse in it so the target will identify the brand as “one of them.” Takeaway: BE your target market. 2. They deliver content that strikes the audience right where they emotionally live. If you want your content to have impact, you have to make your audience’s heart race, or make them tear up, or make them laugh. Label them “data points” all you want, but humans are emotional creatures. No message connects that’s not carried in on an emotion. Takeaway: You’re on the inside. If your content doesn’t make you say “wow,” it’s unlikely it will register with fans. 3. They put aside old school marketing and don’t let their content be degraded into a commercial. Their execs seem to understand the value in keeping a lid on the hard sell. So many brands just can’t bring themselves to disconnect advertising and social content. The result is, otherwise decent content gets contaminated with a desperation the viewer can smell a mile away. Think the Baumgartner skydive didn’t do Red Bull any good since he wasn’t drinking one on the way down while singing a jingle? Analysis company Taykey discovered that at the peak of the skydive buzz, about 1% of all online conversation was about the jump. Mentions of Red Bull constituted 1/3 of 1% of all Internet activity. Views of other Red Bull videos also shot up. Takeaway: Chill out with the ads. Your brand will get full credit for entertaining/informing fans in a relevant way, provided you do it. 4. They don’t hesitate to ask, “What can we do next”? Most corporate cultures are a virtual training facility for “we can’t do that.” Few are encouraged to innovate or think big, if think at all. Thinking big involves faith, and work. It means freedom and letting employees run a little wild with their ideas. There will always be the opportunity to let fear of everything that moves creep in and kill grand visions dead in their tracks. Experimenting must be allowed. Failure must be allowed. Red Bull didn’t think big. They thought mega. They tried to outdo themselves. Felix could have gone ahead and jumped halfway up, thinking, “This is still relatively high up. Good enough.” But that wouldn’t have left us breathless. Takeaway: Go for it. Jump. In putting up social properties and gathering fans of your brand, you’ve basically invited people to a party. A good host doesn’t just set out warm beer and stale chips because that’s inexpensive and easy. Be on the lookout for ways to make your guests walk away saying, “That was epic.”

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  • Register to Attend the AutoVue 20.2 Webcast on April 3, 2012

    - by Pam Petropoulos
    Want to learn more about the latest AutoVue 20.2 release?               Discover what this latest major release of AutoVue can do for you. Join Celine Beck, AutoVue Product Management and Strategy Manager, during this live webcast to discover how the new release can transform your business processes and extend the value of your visualization investment. Hear how customers and partners are improving their workflows and creating differentiated offerings thanks to AutoVue enterprise visualization.   Date: Tuesday, April 3, 2012                                                                                                                                                            Time: 11:00 a.m. EST   Click here to register for this event.   For complete details about the new release, also check out the What’s New in AutoVue 20.2 Datasheet, available here.

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