hi Partners,

Hope you are doing well.

Please check the below requirement and send me profiles* ASAP.*

*
*

*Oracle Data warehouse DBA*


Location: Columbus-Indiana

Duration: 6+ months


*Experience looking for 6+ years*


*Job Description :*

Lead Oracle Database operations activities, schedule the work and
communicate to BI/DW project managers, Development team & Support teams.
Standardize & automate the process and Prepare standard documents ETL
developers make source data available to the warehouse.

Using either in-house developed or off-the-shelf tools, ETL developers
ensure the warehouse is populated with timely and accurate data.
Very large databases (VLDB) - Oracle DBA partitioning skills, administration
and management of a large database with an analytical front-end.
Online analytical processing (OLAP) - Star schema design and DBA
administration.
Responsible for the Database objects and performance of a data warehouse.

DBAs are skilled in data administration, data modeling and tuning, ensuring
development teams have the optimum environment in which to deliver
applications.
Materialized Views -The Oracles materialized views (MV) feature uses Oracle
replication to allow you to pre-summarize and pre-join tables.

Best of all, Oracle MVs are integrated with the Oracle 10g query re-write
facility, so that any queries that might benefit from the pre-summarization
will be automatically rewritten to reference the aggregate view, thereby
avoiding a very expensive (and unnecessary) large-table-full-table scan.

The Oracle10g dbms advisor utility will automatically detect and recommend
MV definitions, then create a materialized view to reduce disk I/O.
Database tuning skills. Use utilities ADDM, AWR, Stats pack
Automated Workload Repository -The AWR is a critical component for data
warehouse predictive tools such as the dbms advisor package.

AWR allows you to run time-series reports of SQL access paths and
intelligently create the most efficient materialized views for your
warehouse.

The AWR provides a time-series component of warehouse tuning that is
critical for the identification of materialized views and holistic warehouse
tuning.

The most important data warehouse tracking with AWR includes tracking
large-table-full-table scans, hash joins (which might be replaced with STAR
joins), and tracking RAM usage within the pga aggregate target region.
Multiple Block sizes- All data warehouse indexes that are accessed via range
scans and Oracle objects that must be accessed via full-table, or
full-index, scans should be in a 32k block size.
STAR query optimization -The Oracle 10g STAR query features make it easy to
make complex DSS queries run at super-fast speeds.
Multi-level partitioning of tables and indexes , Oracle now has multi-level
intelligent partitioning methods that allow Oracle to store data in a
precise scheme.

By controlling where data is stored on disk, Oracle10g SQL can reduce the
disk I/O required to service any query.
Asynchronous Change Data Capture Change data capture allows incremental
extraction, so only changed data to be extracted easily.

For example, if a data warehouse extracts data from an operational system on
a weekly basis, then the data warehouse requires only the data that has
changed since the last extraction (that is, the data that has been modified
in the past seven days).
Oracle Streams- Streams-based feed mechanisms can capture the necessary data
changes from the operational database and send it to the destination data
warehouse.

The use of redo information by the streams capture process avoids
unnecessary overhead on the production database.


Email me: [email protected]


Thanks and Regards,


Mike Williams

Talent Engagement Group

Allied Deployment Services

340 S Lemon Ave.  # 5386

Walnut, CA – 91789

Phone:(415) -704-1581 Ext.408

Fax: 270-517-3892

Email: [email protected]

Website: www.allied-dt.com


** WBE (Women Business Enterprise) **


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