Data Engineer’s Lunch #11: MLFlow and Spark
In Data Engineer’s Lunch #11: MLFlow and Spark, we discussed using MLFlow, a machine learning management tool, with Apache Spark.
Data Engineer’s Lunch #11: MLFlow and Spark Read More »
Data Engineer’s Lunch #10: NoSQL – Part 1
In Data Engineer’s Lunch #10: NoSQL – Part 1, we discussed NoSQL datastores. Specifically, we discussed different types of key-value stores. The live recording of the Data Engineer’s Lunch, which
Data Engineer’s Lunch #10: NoSQL – Part 1 Read More »
Data Engineer’s Lunch #9: Open Source & Cloud Data Catalogs
In Data Engineer’s Lunch #9: Open Source & Cloud Data Catalogs, we discussed data catalogs, which help users keep track of data. The live recording of the Data Engineer’s Lunch,
Data Engineer’s Lunch #9: Open Source & Cloud Data Catalogs Read More »
Apache Cassandra Lunch #33: Cassandra Deployment – Ansible and Terraform with Cassandra
In case you missed it, this blog post is a recap of Cassandra Lunch #33, covering automation for Cassandra deployment. We discuss using Terraform and Ansible to set up the
Apache Cassandra Lunch #33: Cassandra Deployment – Ansible and Terraform with Cassandra Read More »
Data Engineer’s Lunch #8: SQL Databases 2
This week’s lunch was a continuation of last week’s talk on SQL databases. This week, we extended the topic to cover Cloud Databases and database tools compatible with SQL databases. The first part can be found here.
Data Engineer’s Lunch #8: SQL Databases 2 Read More »
Apache Spark Companion Technologies: Distributed Machine Learning Frameworks
One of Apache Spark’s main core features is Spark MLLib, a library for doing machine learning in Spark. Most data science education relies on specific machine learning libraries, like Sci-Kit
Apache Spark Companion Technologies: Distributed Machine Learning Frameworks Read More »
