With data becoming increasingly complex and abundant, data leaders are seeking to optimize their data management strategies by modernizing their DI tools.
To keep up with this changing pace, data integration tools have evolved over time by including vital features for automation and innovation that can be a game-changer in the long run. Bloor Research, a leading independent research and analyst firm, has listed the essential qualities to look for in data integration tools, helping you streamline your data management process and achieve better analytical results.
Read this latest report by Bloor Research to uncover the following:
- The recent trends in data integration
- ETL vs ELT: Which data integration practice is right for you
- Vital qualities to look for while selecting any data integration tool
- Maximize the value of your data by implementing key data integration qualities
- How automation and collaboration can help you accelerate your DI results
Download your copy today to take your data integration initiatives to the next level!
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