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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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  • 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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  • 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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  • 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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  • PCI Compliance Book Suggestion

    - by Joel Weise
    I am always looking for good books on security, compliance and of course, PCI.  Here is one I think you will find very useful. "PCI Compliance, Third Edition: Understand and Implement Effective PCI Data Security Standard Compliance" by Branden Williams and Anton Chuvakin.  [Fair disclosure - Branden and I work together on the Information Systems Security Association Journal's editorial board.]   The primary reason I like this book is that the authors take a holistic architectural approach to PCI compliance and that to me is the most safe and sane way to approach PCI.  Using such an architectural approach to PCI is, in my humble opinion, the underlying intent of PCI.  Don't create a checklist of the PCI DSS and then map a solution to each.  That is a recipe for disaster.  Instead, look at how the different components and their configurations work together in a synergistic fashion.  In short, create a security architecture and governance framework (the ISO 27000 series is a good place to start) that begins with an evaluation of the requirements laid down in the PCI DSS, as well as your other applicable compliance, business and technical requirements.  By developing an integrated security architecture you should be able to not only address current requirements, but also be in a position to quickly address future ones as well.

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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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  • ADF Faces Skin Editor - How to Work with It

    - by Shay Shmeltzer
    The ODTUG Kscop11 conference was a great success with lots of sessions about FMW running in a special track. I did several sessions and labs in the conference, and I thought it might be a good idea to at least give you a taste of what you might have missed. So here is most of what I demoed in my ADF Faces Skinning session (not all though - that session was 60 minutes long, and while everyone did end up going out of the building in the middle because of a fire drill for about 5 minutes, there was other things covered in the session as well). In the demo here you'll see how to generate new images and default color scheme, how to identify a component class with Firebug, how to skin a component, how to identify the global selector of a property, how to change fonts and how to change strings. By the way, for more on ADF Skinning you should also listen to the ADF Insider seminar that Frank Nimphius recorded on skinning, it will give you better understanding of the overall skinning process. P.S. in the demo I add an entry to the web.xml file which prevent ADF Faces from compressing the HTML that is generated. The entry is for org.apache.myfaces.trinidad.DISABLE_CONTENT_COMPRESSION  and I set it to true. This is very useful when you work on creating the skin, but don't forget to un-set it before you go production.

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  • EBS Concurrent Processing Information Center

    - by LuciaC
    Do you have problems or questions about concurrent request processing?  Do you want to know: How and when to run CP Diagnostics? What are the latest Hot Topics being looked at for Concurrent Processing? All about the Concurrent Process Analyzer self-service Health-Check script? Go to the EBS Concurrent Processing Information Center (Doc ID 1304305.1) and find out the above and lots more!

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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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  • 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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  • 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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  • Common SOA Problems by C2B2

    - by JuergenKress
    SOA stands for Service Oriented Architecture and has only really come together as a concrete approach in the last 15 years or so, although the concepts involved have been around for longer. Oracle SOA Suite is based around the Service Component Architecture (SCA) devised by the Open SOA collaboration of companies including Oracle and IBM. SCA, as used in SOA suite, is designed as a way to crystallise the concepts of SOA into a standard which ensures that SOA principles like the separation of application and business logic are maintained. Orchestration or Integration? A common thing to see with many people who are beginning to either build a new SOA based infrastructure, or move an old system to be service oriented, is confusion in the purpose of SOA technologies like BPEL and enterprise service buses. For a lot of problems, orchestration tools like BPEL or integration tools like an ESB will both do the job and achieve the right objectives; however it’s important to remember that, although a hammer can be used to drive a screw into wood, that doesn’t mean it’s the best way to do it. Service Integration is the act of connecting components together at a low level, which usually results in a single external endpoint for you to expose to your customers or other teams within your organisation – a simple product ordering system, for example, might integrate a stock checking service and a payment processing service. Process Orchestration, however, is generally a higher level approach whereby the (often externally exposed) service endpoints are brought together to track an end-to-end business process. This might include the earlier example of a product ordering service and couple it with a business rules service and human task to handle edge-cases. A good (but not exhaustive) rule-of-thumb is that integrations performed by an ESB will usually be real-time, whereas process orchestration in a SOA composite might comprise processes which take a certain amount of time to complete, or have to wait pending manual intervention. BPEL vs BPMN For some, with pre-existing SOA or business process projects, this decision is effectively already made. For those embarking on new projects it’s certainly an important consideration for those using Oracle SOA software since, due to the components included in SOA Suite and BPM Suite, the choice of which to buy is determined by what they offer. Oracle SOA suite has no BPMN engine, whereas BPM suite has both a BPMN and a BPEL engine. SOA suite has the ESB component “Mediator”, whereas BPM suite has none. Decisions must be made, therefore, on whether just one or both process modelling languages are to be used. The wrong decision could be costly further down the line. Design for performance: Read the complete article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Technorati Tags: C2B2,SOA best practice,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Thematic map contd.

    - by jsharma
    The previous post (creating a thematic map) described the use of an advanced style (color ranged-bucket style). The bucket style definition object has an attribute ('classification') which specifies the data classification scheme to use. It's values can be one of {'equal', 'quantile', 'logarithmic', 'custom'}. We use logarithmic in the previous example. Here we'll describe how to use a custom algorithm for classification. Specifically the Jenks Natural Breaks algorithm. We'll use the Javascript implementation in geostats.js The sample code above needs a few changes which are listed below. Include the geostats.js file after or before including oraclemapsv2.js <script src="geostats.js"></script> Modify the bucket style definition to use custom classification 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: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;}    bucketStyleDef = {       numClasses : colorSeries[colorName].classes,       classification: 'custom', //'logarithmic',  // use a logarithmic scale       algorithm: jenksFromGeostats,       styles: theStyles,       gradient:  useGradient? 'linear' : 'off'     }; The function, which implements the custom classification scheme, is specified as the algorithm attribute value. It must accept two input parameters, an array of OM.feature and the name of the feature attribute (e.g. TOTPOP) to use in the classification, and must return an array of buckets (i.e. an array of or OM.style.Bucket  or OM.style.RangedBucket in this case). However the algorithm also needs to know the number of classes (i.e. the number of buckets to create). So we use a global to pass that info in. (Note: This bug/oversight will be fixed and the custom algorithm will be passed 3 parameters: the features array, attribute name, and number of classes). So createBucketColorStyle() has the following changes 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: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;} var numClasses ; function createBucketColorStyle( colorName, colorSeries, rangeName, useGradient) {    var theBucketStyle;    var bucketStyleDef;    var theStyles = [];    //var numClasses ; numClasses = colorSeries[colorName].classes; ... and the function jenksFromGeostats is defined as 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: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;} function jenksFromGeostats(featureArray, columnName) {    var items = [] ; // array of attribute values to be classified    $.each(featureArray, function(i, feature) {         items.push(parseFloat(feature.getAttributeValue(columnName)));    });    // create the geostats object    var theSeries = new geostats(items);    // call getJenks which returns an array of bounds    var theClasses = theSeries.getJenks(numClasses);    if(theClasses)    {     theClasses[theClasses.length-1]=parseFloat(theClasses[theClasses.length-1])+1;    }    else    {     alert(' empty result from getJenks');    }    var theBuckets = [], aBucket=null ;    for(var k=0; k<numClasses; k++)    {             aBucket = new OM.style.RangedBucket(             {low:parseFloat(theClasses[k]),               high:parseFloat(theClasses[k+1])             });             theBuckets.push(aBucket);     }     return theBuckets; } A screenshot of the resulting map with 5 classes is shown below. It is also possible to simply create the buckets and supply them when defining the Bucket style instead of specifying the function (algorithm). In that case the bucket style definition object would be    bucketStyleDef = {      numClasses : colorSeries[colorName].classes,      classification: 'custom',        buckets: theBuckets, //since we are supplying all the buckets      styles: theStyles,      gradient:  useGradient? 'linear' : 'off'    };

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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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  • 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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  • Learning Library – Enterprise Manager Cloud Control 12c: Best Practices for Middleware Management

    - by JuergenKress
    This self-paced course teaches you best practices when using Oracle Enterprise Manager Cloud Control 12c for managing your WebLogic and SOA applications and infrastructure. It consists of interactive lectures, videos, review sessions, and optional demonstrations. This course covers Enterprise Manager Cloud Control 12c licensed with the WebLogic Server Management Pack Enterprise Edition and the SOA Management Pack Enterprise Edition. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: EM12c,Enterpries manager training,education,training,SOA Community,Oracle SOA,Oracle BPM,BPM,Community,OPN,Jürgen Kress

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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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  • 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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  • Current State EA: Focus on the Integration!!!

    - by Eric A. Stephens
    A recent project has me at the front end of a large implementation effort covering multiple software components. In addition to the challenges of integrating 15-20 separate and new software components there is the challenge of integrating the portfolio into an existing environment. Like other clients I've worked with and other environments I've worked in for many years, this is typical. The applications are undocumented and under patched leading to a mystery for any architect leading change.  We can boil down most architecture development methodologies (ADM) into first understanding the current/baseline state and then envisioning one or more future states. Many pundits emphasize the need to focus on the future/target states. I agree since enterprise architecture (EA) is about where you are going and not so much where you have been. But to be effective in the future, I contend some focused time needs to be spent on the current state. And specifically on the integration. Integration is always the difficult part of a project (I might put it more coarsely at a cocktail party). While I don't have a case study, my anecdotal experience suggests poorly integrated application portfolios tend to cost more to operate and create entropy when trying to respond to new changes and opportunities. In the aforementioned project, I was able to get one of our EAs assigned to focus on just integration almost immediately. While we're still early in the process, this EA is uncovering all sorts of information that will greatly assist our future state planning for this solution. This information is driving early decision making that we anticipate will accelerate our efforts moving forward. #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; } #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; } #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; } #next_pages_container { width: 5px; hight: 5px; position: absolute; top: -100px; left: -100px; z-index: 2147483647 !important; }

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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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  • ADF Business Components

    - by Arda Eralp
    ADF Business Components and JDeveloper simplify the development, delivery, and customization of business applications for the Java EE platform. With ADF Business Components, developers aren't required to write the application infrastructure code required by the typical Java EE application to: Connect to the database Retrieve data Lock database records Manage transactions   ADF Business Components addresses these tasks through its library of reusable software components and through the supporting design time facilities in JDeveloper. Most importantly, developers save time using ADF Business Components since the JDeveloper design time makes typical development tasks entirely declarative. In particular, JDeveloper supports declarative development with ADF Business Components to: Author and test business logic in components which automatically integrate with databases Reuse business logic through multiple SQL-based views of data, supporting different application tasks Access and update the views from browser, desktop, mobile, and web service clients Customize application functionality in layers without requiring modification of the delivered application The goal of ADF Business Components is to make the business services developer more productive.   ADF Business Components provides a foundation of Java classes that allow your business-tier application components to leverage the functionality provided in the following areas: Simplifying Data Access Design a data model for client displays, including only necessary data Include master-detail hierarchies of any complexity as part of the data model Implement end-user Query-by-Example data filtering without code Automatically coordinate data model changes with business services layer Automatically validate and save any changes to the database   Enforcing Business Domain Validation and Business Logic Declaratively enforce required fields, primary key uniqueness, data precision-scale, and foreign key references Easily capture and enforce both simple and complex business rules, programmatically or declaratively, with multilevel validation support Navigate relationships between business domain objects and enforce constraints related to compound components   Supporting Sophisticated UIs with Multipage Units of Work Automatically reflect changes made by business service application logic in the user interface Retrieve reference information from related tables, and automatically maintain the information when the user changes foreign-key values Simplify multistep web-based business transactions with automatic web-tier state management Handle images, video, sound, and documents without having to use code Synchronize pending data changes across multiple views of data Consistently apply prompts, tooltips, format masks, and error messages in any application Define custom metadata for any business components to support metadata-driven user interface or application functionality Add dynamic attributes at runtime to simplify per-row state management   Implementing High-Performance Service-Oriented Architecture Support highly functional web service interfaces for business integration without writing code Enforce best-practice interface-based programming style Simplify application security with automatic JAAS integration and audit maintenance "Write once, run anywhere": use the same business service as plain Java class, EJB session bean, or web service   Streamlining Application Customization Extend component functionality after delivery without modifying source code Globally substitute delivered components with extended ones without modifying the application   ADF Business Components implements the business service through the following set of cooperating components: Entity object An entity object represents a row in a database table and simplifies modifying its data by handling all data manipulation language (DML) operations for you. These are basically your 1 to 1 representation of a database table. Each table in the database will have 1 and only 1 EO. The EO contains the mapping between columns and attributes. EO's also contain the business logic and validation. These are you core data services. They are responsible for updating, inserting and deleting records. The Attributes tab displays the actual mapping between attributes and columns, the mapping has following fields: Name : contains the name of the attribute we expose in our data model. Type : defines the data type of the attribute in our application. Column : specifies the column to which we want to map the attribute with Column Type : contains the type of the column in the database   View object A view object represents a SQL query. You use the full power of the familiar SQL language to join, filter, sort, and aggregate data into exactly the shape required by the end-user task. The attributes in the View Objects are actually coming from the Entity Object. In the end the VO will generate a query but you basically build a VO by selecting which EO need to participate in the VO and which attributes of those EO you want to use. That's why you have the Entity Usage column so you can see the relation between VO and EO. In the query tab you can clearly see the query that will be generated for the VO. At this stage we don't need it and just use it for information purpose. In later stages we might use it. Application module An application module is the controller of your data layer. It is responsible for keeping hold of the transaction. It exposes the data model to the view layer. You expose the VO's through the Application Module. This is the abstraction of your data layer which you want to show to the outside word.It defines an updatable data model and top-level procedures and functions (called service methods) related to a logical unit of work related to an end-user task. While the base components handle all the common cases through built-in behavior, customization is always possible and the default behavior provided by the base components can be easily overridden or augmented. When you create EO's, a foreign key will be translated into an association in our model. It defines the type of relation and who is the master and child as well as how the visibility of the association looks like. A similar concept exists to identify relations between view objects. These are called view links. These are almost identical as association except that a view link is based upon attributes defined in the view object. It can also be based upon an association. Here's a short summary: Entity Objects: representations of tables Association: Relations between EO's. Representations of foreign keys View Objects: Logical model View Links: Relationships between view objects Application Model: interface to your application  

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  • Hack Fest Going Strong!

    - by Yolande Poirier
    Today was the first day of  the Hack Fest at Devoxx, the Java developer conference in Belgium.  The Hack Fest started with the Raspberry Pi & Leap Motion hands-on lab. Vinicius Senger introduced the Java Embedded, Arduino and Raspberry Pi. Java Champion Geert Bevin presented the Leap Motion, a controller sensing your hands and fingers to play games by controlling the mouse as an example. "Programmers are cooler than musicians because they can create entire universe using all senses" explained Geert In teams, participants started building applications using Raspberry Pi, sensors and relays. One team tested the performance of Tomcat, Java EE and Java Embedded Suite on the Raspberry Pi. Another used built an text animation using a LCD screen. Teams are using the Leap Motion to close and open programs on the desktop and other teams are using it as a game control. 

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  • Calling Web Service with Complex Parameters in ADF Mobile

    - by Shay Shmeltzer
    Many of the SOAP based web services out there have parameters of specific object types - so not just simple String/int inputs. The ADF Web service data control makes it quite simple to interact with them. And this applies also in the case of ADF Mobile. Since there were several thread on OTN asking about this - I thought I'll do a quick demo to refresh people memory about how you pass these "complex" parameters to your Web service methods. By the way - this video is also relevant if you are not doing mobile development, you'll basically use the exact same process for building "regular web" ADF applications that access these types of Web services. One more thing you might want to do after you create the page is look at the binding tab to see the method call in there, and notice the parameters for it in the structure property. Go and look at their NDValue property to get the complete picture.

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  • Cross-Channel Survey Report

    - by David Dorf
    The folks at Retail Touchpoints surveyed 84 retailers on the topic of cross-channel and have published the results in Completing the Cross-Channel Challenge.  Below is an overview video that summarizes the findings and cites retailer examples. One thing is clear: customers demand Commerce Anywhere, the ability to shop when, where, and the way they want.  So retailers are doing what it takes to revamp their business to meet their customers' demands.

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