Datastage ppt

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Data warehouses are time variant in the sense because they maintain both
historical and (nearly) current data. Operational databases, in contrast, contain only the most
current, up-to-date data values. Furthermore, they generally maintain this information for not
more than a year. In case of DWs, these are generally loaded from the operational databases
daily, weekly, or monthly which is then typically maintained for a long period.

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Datastage ppt

  1. 1. Datastage Course Contents And review Call : +1-718-305-1757, +1-718-313-0499E – Mail : training@newyorksystraining.comwww.newyorksys.com
  2. 2.  Design jobs for Extraction, Transformation, and loading (ETL) Ideal tool for data integration projects - such as, data warehouses, data marts, and system migrations Import, export, create, and managed metadata for use within jobs Schedule, run, and monitor jobs all within DataStage Administer your DataStage development and execution environments
  3. 3.  Use the Administrator Project properties window to :• Set job monitoring limits and other Director defaults on the Generaltab.• Set user group privileges on the Permissions tab.• Enable or disable server-side tracing on the Tracing tab.• Specify a user name and password for scheduling jobs on theSchedule tab.• Specify hashed file stage read and write cache sizes on the Tunablestab.
  4. 4.  The DataStage Designer allows you to use familiar graphical point-and-click techniques to develop processes for extracting, cleansing, transforming, integrati ng and loading ,data into warehouse tables. The Designer provides a "visual data flow "method to easily interconnect and configure reusable components.
  5. 5.  OLTP is nothing but Online Transaction Processing which contains a normalized tables and online data which have frequent insert/updates/delete. Which follows E-R modeling. OLAP(Online Analytical Programming) contains the history of OLTP data which is non-volatile acts as a Decisions Support System and is sed for creating forecasting reports. Which follows Dimensional Modeling.
  6. 6.  ODS: Contains Current and near current data Contains almost all detail data Data is updated frequently Used to report a status continuously and ask specific questions – not flexible. STAGING AREA: Contains historical data Contains summarized and detailed data Data is non-volatile Used to populate the DWH, which makes OLAP possible - flexible
  7. 7.  A subset of a data warehouse that supports the requirements of particular department or business function. Which is subject oriented database which gives the data about each and every individual department in an organization.
  8. 8.  Tuned the Project Tunables in Administrator for better performance. Sorted the data as much as possible in DB and reduced the use of DS-Sort for better performance of jobs Avoid using transformer stage for renaming some columns. Because it will slow down the performance of the jobs.. Try to use Copy stage for renaming the columns. Make every attempt to use the bulk loader for your particular database. Bulk loaders are generally faster than using ODBC or OLE.
  9. 9.  NewyorkSys is one of the leading top IT Training and Consulting Company in US, with a good placement track record. We have certified trainers. We will provide Online Training, Fast Track online training, with job assistance We are providing excellent Training in all courses. Faculty from top MNC’s with highly skilled domain expertsaise will train & guide you with real time examples , project explanation . We also help you in resume preparation and provide job assistance till you get job. For more details visit our website : www.newyorksys.com
  10. 10.  For Additional Assistance , Course Details, Batch Scheduling Information , Mail us , you may contact to below address NewyorkSys Inc., 15 Roaring Brook Rd, Chappaqua, NY 10514. USA : +1-718-313-0499 USA : +1-718-305-1757 E-Mail ID : training@NewyorkSys.com Visit : www.NewyorkSys.com

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