Instaclustr Blog Archive
Page 56
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- 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 -
- Elasticsearch
- Technical
Elassandra & Kibana™ Data Exploration with Fantasy Basketball
Fantasy Basketball. Part statistics, part unpredictable human behaviour. It works like this: All the players in the NBA are put into a pool. Then, all the fantasy team owners take turns drafting the NBA players onto their fantasy team, building up the team. Then, each week, two teams go head to head, competing to see...
Learn MoreJordan BraiukaOctober 27, 2017 -
- Technical
Behind The Scenes
Spoiler alert! Kubrick’s scientific consultant Frederick Ordway once revealed that Kubrick had the props for the film destroyed because he didn’t want to ruin the illusion of 2001 for people. If you prefer to believe that 2001 was real, stop reading now, as behind-the-scenes photos did survive. 2001 pioneered lots of special effects! It was...
Learn MorePaul BrebnerOctober 25, 2017 -
- Apache Cassandra
- Elasticsearch
- Feature Releases
- Technical
Announcing Instaclustr Private Network Clusters for Cassandra and Elassandra
Instaclustr is pleased to announce the release of a new feature, Private Network Clusters. This feature continues Instaclustr’s commitment to security by providing our customers with the option to provision clusters where the nodes do not have publicly routable IPs allocated. Why Private Network Clusters? This configuration is security best practice and a security requirement...
Learn MoreInstaclustrOctober 20, 2017 -
- Technical
Fourth Contact With a Monolith
“The thing’s hollow — it goes on forever — and — oh my God! — it’s full of stars!” It’s full of Spreadsheets! (DataFrames) (Source: Wikimedia Commons) Given that a dog, Laika, was the 1st astronaut to orbit the earth, it’s appropriate for a dog to travel through the wormhole. After travelling through the wormhole,...
Learn MorePaul BrebnerOctober 20, 2017 -
- Apache Cassandra
- Technical
The Next Generation Cassandra Conference (NGCC)
NGCC Summary The Next Generation Cassandra Conference (NGCC) is an annual meeting of developers, contributors, committers, driver authors and anyone interested in the development of Apache Cassandra where they can all get together and talk about the technical and community direction of the Cassandra project. This year the NGCC was held in San Antonio, Texas....
Learn MoreBen BromheadOctober 19, 2017 -
- Technical
Cassandra NoSQL Data Model Design
Abstract This paper describes the process that we follow at Instaclustr to design a Cassandra data model for our customers. While not a prescriptive, formal process it does define phases and steps that our team follows when we are design a new data model for our customers: Phase 1: Understand the data Phase 2: Define...
Learn MoreBen SlaterOctober 05, 2017