Business Platform Team

Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.

Author Archives: Obioma Anomnachi


Apache Spark Companion Technologies: Notebooks

Notebooks are a potentially useful tool for those working with Apache Spark. The Databricks platform, built on Spark, also includes notebooks as a standard feature. As part of an ongoing series of webinars on replicating functionality that is part of the Databricks platform, we will be attempting to connect notebooks to Apache Spark ourselves. 

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Apache Cassandra Lunch #28: Cassandra Backup / Restore Scenarios

In case you missed it, Apache Cassandra Lunch #28 focused on specific scenarios for Cassandra’s backup and restore. We discussed some methods for restoring data to a Cassandra cluster. We also covered how factors like the topology of a cluster or the need for constant uptime can affect the backup/restore process. The live recording of Cassandra Lunch, which includes a more in-depth discussion, is also embedded below in case you could not attend live. If you would like to attend Apache Cassandra Lunch live, it is hosted every Wednesday at 12 PM EST. Register here now!

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Data Engineer’s Lunch #1: Data Engineering Roadmap

In case you missed it, last week we started the first of what will be weekly Data Engineering lunch discussions on Monday, November 16th. The first lunch covered the Data Engineering Road-map. We discussed how to become a proficient data engineer and the various masteries that are required. The live recording of the Data Engineer’s Lunch, which includes a more in-depth discussion, is also embedded below in case you were not able to attend live. If you would like to attend a Data Engineer’s Lunch live, it is hosted every Monday at 12 PM EST. Register here now!

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Apache Cassandra Lunch #26: Cassandra Troubleshooting with Logs

In case you missed it, this post is a recap of Cassandra Lunch #26, discussing common Cassandra log warnings and errors. We discussed the various resources that a Cassandra cluster needs, and how we can find problems with those resources via the logs generated by the cluster. The live recording of Cassandra Lunch, which includes a more in-depth discussion, is also embedded below in case you were not able to attend live. If you would like to attend Apache Cassandra Lunch live, it is hosted every Wednesday at noon EST. Register here now!

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Comparing Databricks and Apache Spark

Databricks is an analytics engine based on Apache Spark. Today we will discuss what features Databricks offers in comparison to the base version of Apache Spark, and whether these capabilities are something that we can do without going through Databricks.

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