In Data Engineer’s Lunch #41: Pygrametl, we discussed PygramETL, a python ETL tool. This is the end for now of our series on them. The live recording of the Data […]
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In Apache Cassandra Lunch #59: Functions in Cassandra, we discussed the functions that can be used inside of the Cassandra database. The live recording of Cassandra Lunch, which includes a
Apache Cassandra Lunch #59: Functions in Cassandra Read More »
In Data Engineer’s Lunch #28: Petl for Data Engineering, we discussed Petl as part of our ongoing series on python ETL tools. The live recording of the Data Engineer’s Lunch,
Data Engineer’s Lunch #28: Petl for Data Engineering Read More »
In this blog post, we will discuss a number of ways of doing dependency management when running spark scripts. This particular post is not a part of any of our
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In Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management, we discussed using Airflow to schedule tasks on a Cassandra cluster beyond what could be accomplished with the Cassandra
Apache Cassandra Lunch #52: Airflow and Cassandra for Cluster Management Read More »
In Data Engineer’s Lunch #24: Pandas for Data Engineering, we discussed using Pandas for performing Data Engineering tasks in Python. This topic is part of our ongoing series on Python ETL
Data Engineer’s Lunch #24: Pandas for Data Engineering Read More »
