"So, let’s look at how insight driven businesses are overcoming these issues. They take back ownership of data engineering and the computer science side of data architecture, management and governance. Data Engineers instrument data and analytics. They harness the strategy and investment plans of Data Architects. They enable analytics and data science. They adopt and activate data governance policies. They ensure data and analytic investment is getting its full return vertically and horizontally.

 

• Want to accelerate data science – create a data engineering workbench.
• Want to ensure data lake adoption – create a data engineering workbench.
• Want to activate data and analytics in systems and processes – create a data engineering workbench.
• Want to create consistency and reduce data risk – create a data engineering workbench."