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HEMS, Inc.
  Company Profile
HEMS, Inc. works exclusively with Information Technology professionals and IT companies in the New York and New Jersey area. We work with full time, temporary and temp-to-hire IT professionals. At HEMS, Inc., we work with your vision in mind. Whether you are looking for a short time stint or a long time career choice, we work to help you achieve your goals. With us, you can expect the platinum standard.
 
  Job Details 
Title: 

Oracle Data Warehouse dba : Atlanta, GA

Posted On:  7/21/2021 3:08:18 AM
Designation: 

Oracle Data Warehouse dba

No. of vacancies:  3
Qualifications:  Bachelor degree
Essential Skills: 
SkillsSpecializationYears
Oracle-<1
SQL-<1
Minimum Total Experience:  3
Job Tenure:  Contract - Corp-to-Corp
Salary Offered:  DOE
Job Location:  Atlanta GA United States

  Job Description
Database tuning skills. Use utilities ADDM, AWR, Statspack

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 Blocksizes- 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 blocksize.

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.

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