As per a Gartner survey, nearly a third of data and analytics leaders identified deploying their data and analytics efforts in existing business processes and applications as the most significant challenge.
The whitepaper discusses how well defined data engineering processes creates a robust foundation for consistently delivering insights at scale. Readers will learn more about:
- Importance of data management for enterprise analytics
- Impact of open source technologies in analytics
- Data processing cycle
- Differences between software and data engineering processes
- Building an efficient data engineering team