To stay ahead of the curve in today’s competitive world, businesses need to streamline and fast-track their analytics processes. DataOps helps build and deliver trusted, consumption-ready data pipelines to analytics teams across the enterprise. Learn how DataOps uses Agile and DevOps best practices to automate and optimize data analytics capabilities.
Key highlights:
- How data can make or break your digital transformation initiatives
- The building blocks of a robust DataOps strategy
- Best practices for adopting DataOps across the enterprise
- Leveraging an all-in-one data pipeline platform to foster collaboration and reduce time to insight
Speaker:
Meet Gathr.
The only all-in-one data pipeline platform
- One platform to do it all - ETL, ELT, ingestion, CDC, ML
- Self Service, zero-code, drag and drop interface
- Built-in DataOps, MLOps, and DevOps tools
- Cloud-agnostic and interoperable
Data
Ingestion-
Change Data
Capture -
ETL/ELT Data
Integration -
Streaming
Analytics -
Data
Preparation -
Machine
Learning