Top 5 Strategies When Leading A Data Engineering Project
Updated: Nov 17, 2020
Most Big Data projects start with a plan for the development and deployment of advanced analytics to create real data-driven insights. But as with any powerful new technology, getting the right data is always the bigger challenge before a production-level of the deployment project can start.
In this recorded webcast, we will share our top tips on tackling the most common data engineering pain points and you will learn about:
Some of the key challenges data engineer will have to overcome in building data pipelines
How to allow self-service access to data in a controlled manner
How to automate data lineage and tagging in a no-code environment, and why this is important to the businesses in the GDPR world.
A simple, fast and efficient methodology to deliver data in a ready