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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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• Excellent Source of Upgrade Information in Japanese

  - by roy.swonger

  If you are a regular reader of this blog you will know that we have enjoyed our visits to Tokyo, Osaka, and Kyoto immensely. We work very closely with our colleagues in Japan, and I would like to highlight a website that will be extremely useful to anybody who can read Japanese. The site is oracledatabase.jp/upgrade. Here is a screenshot: With plenty of good information from web articles to white papers, this site is a terrific resource for our Japanese partners and customers! 

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• Capgemini report - Business Cloud: The State of Play Shifts Rapidly

  - by Javier Puerta

  Capgemini has published a recent survey on the state of play of cloud adoption. The report indicates "clear evidence that the business, rather than purely IT, is becoming involved in driving Cloud strategy, and pioneering its use for ‘edge’ growth initiatives."  Ron Tolido, Senior Vice President and Chief Technology Officer of Applications Continental Europe at Capgemini, was one of the keynote speakers at our Exadata & Manageability Partner Community event in Istanbul in March. He is one of the drivers of this survey. Read his article "3 Key Cloud Insights for 2013". You an download the full report here:  "Business Cloud: The State of Play Shifts Rapidly - Fresh Insights into Cloud Adoption Trends"

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• Open Source Software Development Center at University of Belgrade

  - by Tori Wieldt

  A new Open Source Software Development Center is open at University of Belgrade, Serbia. It centers around using Java & NetBeans as open source projects to learn from and contribute to. Assistant Professor Zoran Sevarac says that not only does the center allow him to teach software development using open source projects, but also "we are improving our University courses based on the experience we get from working on open source code."  Some of the projects underway are a NetBeans UML plugin; Neuroph (a Java neural network framework, with a NetBeans Platform-based UI); a NetBeans DOAP Plugin; WorkieTalkie (NetBeans chat plugin); and 2D and 3D visualization plugins for NetBeans. University of Belgrade also has an official university course about open source development, where students learn to use development tools, work in teams, participate in open source projects and learn from real world software development projects. Students, teachers, and researchers at the University of Belgrade, and any member of the open source community are welcome to come to learn software development from successful open source projects. For more information, you can contact Zoran Sevarac (@neuroph on Twitter).

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• JCP Survey!

  - by Yolande Poirier

  The London Java Community (LJC), which is an Executive Committee member of the Java Community Process (JCP), is asking Java developers to participate in a JCP survey titled "What should the JCP be doing?"  The JCP is the mechanism that decides on future standards related to Java technology. Those standards give users like you a choice of technologies to develop with and more independence from vendor solutions.   The JCP cares about community feedback and has successfully encouraged community participation using transparent tracking processes. Take the survey, your feedback matters. 

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• Customer retention - why most companies have it wrong

  - by Michel Adar

  At least in the US market it is quite common for service companies to offer an initially discounted price to new customers. While this may attract new customers and robe customers from competitors, it is my argument that it is a bad strategy for the company. This strategy gives an incentive to change companies and a disincentive to stay with the company. From the point of view of the customer, after 6 months of being a customer the company rewards the loyalty by raising the price. A better strategy would be to reward customers for staying with the company. For example, by lowering the cost by 5% every year (compound discount so it does never get to zero). This is a very rational thing to do for the company. Acquiring new customers and setting up their service is expensive, new customers also tend to use more of the common resources like customer service channels. It is probably true for most companies that the cost of providing service to a customer of 10 years is lower than providing the same service in the first year of a customer's tenure. It is only logical to pass these savings to the customer. From the customer point of view, the competition would have to offer something very attractive, whether in terms of price or service, in order for the customer to switch. Such a policy would give an advantage to the first mover, but would probably force the competitors to follow suit. Overall, I would expect that this would reduce the mobility in the market, increase loyalty, increase the investment of companies in loyal customers and ultimately, increase competition for providing a better service. Competitors may even try to break the scheme by offering customers the porting of their tenure, but that would not work that well because it would disenchant existing customers and would be costly, assuming that it is costlier to serve a customer through installation and first year. What do you think? Is this better than using "save offers" to retain flip-floppers?

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• High Availability documents for OBIA

  - by Lia Nowodworska - Oracle

  There are 2 white papers that have been created by Product Management and Advanced Resolution team (thanks Rajesh, Archana). These documents describe how to deploy a high-availability environment for the Weblogic components of BI Applications 11.1.1.8.1 and 11.1.1.7.1 including the Oracle Data Integrator. New  Configuring High Availability for Oracle Business Intelligence Applications Version 11.1.1.8.1 (Doc ID 1679319.1)  Updated Configuring High Availability for Oracle Business Intelligence Applications Version 11.1.1.7.1 (Doc ID 1587873.1)  When implementing OBIA please take some time to review one or both of the papers. Do you still have a quick question that you want an expert to have a look at: check in the OBIA Community:

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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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• Java-Powered Robot Named NAO Wows Crowds

  - by Tori Wieldt

  He drew a crowd where he went at JavaOne. And only being 22.5 inches/573 mm tall, that's pretty impressive. Nao (pronounced now) is an autonomous, programmable humanoid robot developed by Aldebaran Robotics, a French robotics company. Over 200 academic institutions worldwide have made use of the robot. In this video from JavaOne, Nicolas Rigaud shows off the NAO robot which you can control with Java. We are eager to see what Java developers can do with a robot that can walk, talk, see, hear, and dance. &amp;amp;amp;amp;amp;amp;lt;span id=&amp;amp;amp;amp;amp;amp;quot;XinhaEditingPostion&amp;amp;amp;amp;amp;amp;quot;&amp;amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;amp;lt;/span&amp;amp;amp;amp;amp;amp;gt; You can see several pictures in the blog Aldebaran Robotics at JavaOne. Learn more about the Aldebaran robotics developer program.

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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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• 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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• 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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• 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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• The Use-Case Driven Approach to Change Management

  - by Lauren Clark

  In the third entry of the series on OUM and PMI’s Pulse of the Profession, we took a look at the continued importance of change management and risk management. The topic of change management and OUM’s use-case driven approach has come up in few recent conversations. So I thought I would jot down a few thoughts on how the use-case driven approach aids a project team in managing the project’s scope. The use-case model is one of several tools in OUM that is used to establish and manage the project's scope.  Because a use-case model can be understood by both business and IT project team members, it can serve as a bridge for ongoing collaboration as well as a visual diagram that encapsulates all agreed-upon functionality. This makes it a vital artifact in identifying changes to the project’s scope. Here are some of the primary benefits of using the use-case model as part of the effort for establishing and managing project scope: The use-case model quickly communicates scope in a straightforward manner. All project stakeholders can have a common foundation for the decisions regarding architecture and design and how they relate to the project's objectives. Once agreed upon, the model can be put under change control and any updates to the model can then be quickly identified as potentially affecting the project’s scope.  Changes requested or discovered later in the project can be analyzed objectively for their impact on project's budget, resources and schedule. A modular foundation for the design of the software solution can be established in Elaboration.  This permits work to be divided up effectively and executed in so that the most important and riskiest use-cases can be tackled early in the project. The use-case model helps the team make informed decisions about implementation priorities, which allows effective allocation of limited project resources.  This is very helpful in not only managing scope, but in doing iterative and incremental planning which relies heavily on the ability to identify project priorities. Bottom line is that the use-case model gives the project team solid understanding of scope early in the project.  Combine this understanding with effective project management and communication and you have an effective tool for reducing the risk of overruns in budget and/or time due to out of control scope changes. Now that you’ve had a chance to read these thoughts on the use-case model and project scope, please let me know your feedback based on your experience.

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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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• New Book: "Systems Performance: Enterprise and the Cloud"

  - by uwes

  Brendan Gregg, former Solaris kernel engineer at Sun published his new book "Systems Performance: Enterprise and the Cloud" in October. The book is a modern, very comprehensive guide to general system performance principles and practices, as well as a highly detailed reference for specific UNIX and Linux observability tools used to examine and diagnose operating system behaviour. Read a more detailed abstract and review on Harry J Foxwell's Blog entry "Brendan Gregg's "Systems Performance: Enterprise and the Cloud"

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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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• 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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• 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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• 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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• Recording Available - Features and Functions Payments Module

  - by MHundal

  The Payments Module recording provides a high-level overview of Payments Processing in ETPM.  The recording discusses the Payments Data Model, including Payment Events, Tenders, Tender Control, Deposit and Deposit Control.  In addition, there is a product demonstration of payment processing in the system. Payments Module Overview:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=67364002&rKey=9fe755e4f41a2d4d

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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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• Translatability Guidelines for Usability Professionals

  - by ultan o'broin

  There is a clearly a demand for translatability guidelines aimed at usability professionals working in the enterprise applications space, judging by Google Analytics and the interest generated in the Twitterverse by my previous post on the subject. So let's continue the conversation. I'll flesh out each of the original points a bit more in posts over the coming weeks. Bear in mind that large-scale enterprise translation is a process. It needs to be scalable, repeatable, maintainable, and above meet the requirements of automation. That doesn't mean the user experience needs to suffer, however. So, stay tuned for some translatability best practices for usability professionals....

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• Public Cloud, co-location and managed services ... what is the cloud?

  - by llaszews

  Recently I have had conversation with a number of people that are selling and implementing 'cloud' solutions. I put cloud in quotes as implementations like co-location (aka co-lo) and managed services (sometimes referred to as 'your mess for less') have become popular options for companies moving to the cloud. These are obviously not pure public cloud offerings and probably more of hybrid cloud implementations as the infrastructure (PasS and IaaS)is dedicated to a specific customer. This eliminates the security, multi-tenancy, performance and other concerns that companies have regarding public cloud. Are co-location and managed services cloud to you? Are they something your company is considering when you think about cloud ?

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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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