A collection of 165 posts
Dealing with Large Spark Partitions
One of the biggest issues with working with Spark and Cassandra is dealing with large Partitions. There are several issues we need to overcome before we can really handle the challenge well. I’m going
pyspark-etl-from-mysql-and-mongodb-to-cassandra-964a5effc5e5
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Apache Cassandra Lunch #84: Data & Analytics Platform: Cassandra, Spark, Kafka
Can Spark Applications Coexist with NoSQL Databases? | Capital One
Apache SparkApache CassandraMongoDBThese are not unknown names in the tech industry. Each one of them has earned a commendable space in the field of distributed computing --Apache Spark as a unified a
Migrate to Azure Managed Instance for Apache Cassandra using Apache Spark
- Article- 04/01/2022Where possible, we recommend using Apache Cassandra native replication to migrate data from your existing cluster into Azure Managed Instance for Apache Cassandra by configuring a
Apache Cassandra Lunch #72: Databricks and Cassandra - Business Platform Team
In Apache Cassandra Lunch #72: Databricks and Cassandra, we discussed how we can connectDatabricksandCassandra. The live recording of Cassandra Lunch, which includes a more in-depth discussion and a d
Apache Cassandra Lunch #65: Spark Cassandra Connector Pushdown - Business Platform Team
In Apache Cassandra Lunch #65: Spark Cassandra Connector Pushdown, we discussed Spark predicate pushdown in the context of the Spark Cassandra connector. The live recording of Cassandra Lunch, which i
Apache Cassandra Lunch #54: Machine Learning with Spark + Cassandra Part 2
In Apache Cassandra Lunch #54: Machine Learning with Spark + Cassandra, we will discuss how you can use Apache Spark and Apache Cassandra to perform additional basic Machine Learning tasks. The live r