In case you missed it, this blog post is a recap of Cassandra Lunch #30, covering the basics of Cassandra Data Operations. We discuss the various ways of moving data […]
Data lakes are a tool for long term data storage. They can be implemented on-premises for use cases requiring high security or in the cloud for more accessible solutions. The
Apache Spark Companion Technologies: Data Lakes Read More »
In case you missed it, the fourth installment of our weekly data engineering lunch was presented by guest speaker Will Angel. It covered the topic of using Airflow for data
Data Engineer’s Lunch #4: Airflow for Data Engineering Read More »
In case you missed it, this blog post is a recap of Cassandra Lunch #30, covering the basics of using Spark and Cassandra together. We discuss the advantages of each
Apache Cassandra Lunch #30: Cassandra & Spark Foundations Read More »
In this blog, we discuss the various methods of counting rows offered in Datastax Enterprise. Traditional databases maintain counts as a matter of course, but Cassandra’s architecture makes that more
Counting in Datastax Enterprise Read More »
ETL stands for Extract, Transform, and Load. This describes a process through which data becomes more refined. ETL is one of the main skills that data engineers need to master
Data Engineer’s Lunch #2: Common ETL Frameworks Read More »
