Azure Ingestion Framework: 4-Wk Implementation

To better analyze work and assets, organizations require an analytics platform enabling integrated and curated self-service and advanced analytics, through near real-time data integration. Through this offer, Adastra will establish the foundational architecture for data ingestion to Azure for analytics, will integrate a subset of datasets, and will build one work / asset report.

What's Included:

• Perform discovery and finalize scope / success criteria​
• Define ingestion framework Azure service / network components for pilot​
• Deploy one Azure ingestion framework service environment for pilot​
• Establish source to Azure ingestion streaming​
• Integrate data from up to 5 source datasets​
• Cover initial seeding and incremental near real-time scenarios​
• Integrate streaming publisher (Attunity, Golden Gate, or custom)​
• Register source datasets in streaming framework metadata​
• Validate seeding and streaming update use cases​
• Demonstrate audit and auto-recovery capabilities​
• Validate results with stakeholders​
• Knowledge transfer / training for stakeholders on use and ownership of platform

​Benefits:

• Enables real-time event streaming to cloud​
• Metadata driven framework (type, schema, orchestration, …)​
• Covers database, file, api, iot, mq, and streaming use cases​
• Leverages PaaS / Serverless Kafka and Spark services in cloud​
• Includes auditing and exception handling ​
• All data is encrypted in transit and encrypted at rest​
• Supports field level encryption via metadata framework​
• Integrated with Azure AD for identity / access / rights​
• Fully integrates with cloud monitoring / governance services​
• Enables metadata integration with data governance platforms via REST API​
• Deployable to a single VNET as a deployable framework package​
• Automatically handles schema drift from a given source

For more information visit www.adastracorp.com