Instaclustr Blog Archive
2017
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- Apache Kafka
- Technical
Apache Kafka® Christmas Tree Light Simulation – Seasons Greetings From Instaclustr
What would you do if you received a request like this? Looks like poor old Santa confused us with a company that produces Instant Forests. But maybe Santa knew I’d been trying out Decision Tree Machine Learning (including Random Forests) on our performance data (see previous blogs on Machine Learning with Spark)? But then I...
Learn MorePaul BrebnerDecember 19, 2017 -
- Apache Cassandra
- Apache Kafka
- Apache Spark
- Elasticsearch
- Technical
Pick‘n’Mix: Apache Cassandra®, Apache Spark™, Zeppelin, Elassandra, Kibana™, and Apache Kafka®
Kafkaesque: \ käf-kə-ˈesk \ Marked by a senseless, disorienting, menacing, nightmarishly complexity. One morning when I woke from troubled dreams, I decided to blog about something potentially Kafkaesque: Which Instaclustr managed open-source-as-a-service(s) can be used together (current and future)? Which combinations are actually possible? Which ones are realistically sensible? And which are nightmarishly Kafkaesque!? In previous blogs,...
Learn MorePaul BrebnerDecember 05, 2017 -
- Apache Spark
- Technical
Apache Spark™ Structured Streaming With DataFrames
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 2-phase approach to debugging, starting with static DataFrames first, and then turning on streaming. Finally, we explain Spark structured streaming in more detail...
Learn MorePaul BrebnerNovember 28, 2017 -
- Apache Cassandra
- Elasticsearch
- Technical
Announcing Instaclustr Continuous Backup for Cassandra and Elassandra
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...
Learn MoreInstaclustrNovember 16, 2017 -
- Apache Cassandra
- Technical
Apache Cassandra® Materialized View and Instaclustr Support
Apache Cassandra Materialized Views 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...
Learn MoreBen SlaterNovember 13, 2017 -
- Technical
A Luxury Voyage of (Data) Exploration by Apache Zeppelin
Data Exploration into the cutting-edge technology of Apache Zeppelin (Source: Shutterstock) The catastrophic crash of the Hindenburg in 1937 ended the era of luxury travel in the colossal fast ships of the air that were pushing the boundaries of air travel technology. Zeppelins had many experimental innovations like an auto-pilot, were made from Duralumin girders...
Learn MorePaul BrebnerNovember 09, 2017 -
- Apache Cassandra
- Technical
Cassandra Scalability: Allow Filtering and Partition Keys
The ‘ALLOW FILTERING’ clause in Cassandra CQL provides greatly increased flexibility of querying. However, this flexibility comes at a substantial performance cost that should be aware of before using ‘ALLOW FILTERING’. This post explains the costs and benefits of ALLOW FILTERING. The data storage and query operations in Apache Cassandra work on top of partitioned...
Learn MoreAnup ShirolkarOctober 31, 2017 -
- Apache Cassandra
- Technical
Apache Cassandra 2.1.19, 2.2.11, 3.0.15 and 3.11.1 Available now through Instaclustr’s Managed Service
Instaclustr announces the immediate availability of Apache Cassandra 2.1.19, 2.2.11, 3.0.15 and 3.11.1 through the Instaclustr Managed Service. These versions contain many significant bug fixes, demonstrating the recently renewed focus of the Apache project on release quality. Thanks to all the contributors who helped get these releases completed!
Learn MoreInstaclustrOctober 30, 2017