Since the beginning of the Big Data revolution, IT teams have struggled with how to optimally organize big data sources and big data sets given their limited resources, and big data’s historically manual, artisanal handling. To move forward with big data integration and data analytics, a solution needs to be developed at the crossroads of artisanal big data management and augmented existing automation technology.
In this white paper, you will learn:
- How the approach to organizing and storing large volume data sets has evolved over time
- How big data automation (BDA) can harness business value from big data while bypassing outdated manual tasks
- Key steps to transitioning from artisan-style big data projects to automated logical data warehouses
- The benefits of adopting big data automation from the outset using automated data integration tools
To read more, please download the full White Paper below.
