Career Snapshot Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance …
Oracle Autonomous Database
What is Oracle’s Autonomous Database? Oracle says, Autonomous Database is a mission-critical, converged database that runs transactional and analytic workloads. It automatically scales, tunes, patches, and secures all the workloads …
19c – Clone PDB to another CDB using DBLink
Identify the Source PDB, which needs to be Cloned: SQL> show pdbs CON_ID CON_NAME OPEN MODE RESTRICTED 2 PDB$SEED READ ONLY NO 3 TESTTST01 READ WRITE NO You may receive …
Big Data – MPP Shared-nothing Technologies and Architecture
Massive Parallel Processing Massive parallel processing (MPP) has evolved because traditional computing paradigms (indexes, distributed data sets, etc.) did not provide acceptable response times on massive tables. Massively Parallel Processing …
What is Big Data: A Comprehensive Overview
What is Big Data, and How Does it Work Definition of Big DataIf someone says Big Data, it means huge volume, complex, and diversified datasets that are generated at a …
Data Quality Program – Readiness Assessment / Risk Assessment
Importance of Readiness Assessments in Data Governance Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for …
Data Quality – Audit Code Module and Metrics
Data Quality Checks and Audit Code Modules Create shareable, linkable, and re-usable code modules that execute repeated data quality checks and audit processes that developers can get from a library. …
Data Quality – Tools
Data Quality Tools in Enterprise Planning Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set …
Data Quality – SLA – Service Level Agreements
What is Data Quality Service Level Agreement? A data quality Service Level Agreement (SLA) specifies an organization’s expectations for response and remediation for data quality issues in each system. Data …
Data Quality Assessment
Data Quality Assessment – A Practical Approach to Improvement DQ Analysts will need to sort out and prioritize findings. The goal of an initial Data Quality Assessment is to learn …