Blogs — November 2017

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Technical Technical — Spark

Spark Structured Streaming with DataFrames

Tuesday 28th November 2017 by Paul Brebner

This blog provides an exploration of Spark Structured Streaming with DataFrames The blog extends the previous Spark MLLib Instametrics data prediction blog example to make predictions from streaming data.  We demonstrate a two-phase approach to debugging, starting with static DataFrames first, and then turning on streaming. Finally we explain Spark structured streaming in more detail […]
Spark Structured Streaming

Technical — Cassandra Technical — Elasticsearch

Announcing Instaclustr Continuous Backup for Cassandra and Elassandra

Thursday 16th November 2017 by Instaclustr

Instaclustr is pleased to announce the general release of two significant enhancements to the backup and restore capabilities of Instaclustr Managed Apache Cassandra and Elassandra: Continuous Backup – providing near-zero data loss backups; and User Controlled Restore – giving you the power to restore from an existing cluster’s backups to a new cluster, using the […]
Announcing Continuous Backup for Cassandra and Elassandra

Technical Technical — Cassandra

Apache Cassandra Materialized View and Instaclustr Support

Monday 13th November 2017 by Ben Slater

Apache Cassandra Materialized View Materialized views are a feature, first released in Cassandra 3.0, which provide automatic maintenance of a shadow table (the materialized view) to a base table with a different partition key thus allowing efficient select for data with different keys. Many Cassandra users will be aware that the Apache Cassandra project recently […]
Apache Cassandra Materialized View and Instaclustr Support