databricks.com

A Guide to Data Engineering Talks at Spark+AI Summit Europe 2019

Data engineering is the backbone of modern data teams. Without high quality data, downstream projects for data science, machine learning, and analytics quickly run into bottlenecks. Find out how to keep your data pipelines stable and your data lakes reliable, in our data engineering track at Spark+AI Europe, where community presenters will talk about their experiences and best practices with Apache SparkTM and Delta Lake. You’ll learn how to tackle your toughest data challenges. Here are a few sessions to check out: Data Reproducibility,...

blog.insightdatascience.com

Top 6 data engineering frameworks to learn

The industry demand for Data Engineers is constantly on the rise and with it more and more software engineers and recent graduates try to enter the field. Data Engineering is a discipline notorious for being framework-driven and it is often hard for newcomers to find the right ones to learn.We at Insight offer a 7-week tuition-free Fellowship to help programmers transition to Data Engineering and have helped guide hundreds of Fellows overcome this exact hurdle. As part of their fellowship training and transition into data engineering, Fellows...