DataOps Overview
Concepts Covered
- Continuous Data Delivery (Parellel to CI/CD in DevOps)
- Data Sources
- Flat Files
- Spreadsheets
- Database Types (RDBMS, Graph, TimeSeries, NoSql, In-Memory)
- Relational Database Management Systems (RDBMS)
-
- Primary / Foreign Keys - 1to1, 1toMany, ManytoMany relationships
- Lookup Tables and Domains
- SQL / Stored Procedures
- Input Forms & Reports
-
- APIs (REST)
- Backend Data Access Programming
- Extract - Transform - Load (ETL)
- Low Code / No Code Automation Tools for Managing Data Access, Correction, Alteration, Formatting, and Uploading
- SAFE FME, AWS Glue / Catalog (MDM)
- SQL, Stored Procedures (RDBMS)
- Hadoop, Apache Spark (Time Series Analysis), AWS Redshift, Azure Synapse
- Cognos, RAW, Informatica / Talend, AWS Insights
- Low Code / No Code Automation Tools for Managing Data Access, Correction, Alteration, Formatting, and Uploading
- Master Data Management (MDM)
- Beyond Data Lakes of the Past (Scalability / Cost)
- Data Mesh Architecture (Distributed - Federated, Decentralized Data Architecture)
- Metadata
- Access / Use Restrictions
- Data Quality Metrics
- Application Connectivity