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Database Weekly
Issue 90 — February 5, 2016
Featured
SnappyData: OLTP + OLAP Database built on Apache Spark — A distributed in-memory data store for real-time operational analytics, delivering stream analytics, OLTP (online transaction processing) and OLAP (online analytical processing) in a single integrated cluster. Written in Scala.
Snappy Data, Inc    code   
When Simple SQL Can Be Complex — “A simple statement might have more complexity to it than you might think,” says Daniël, before showing us an example in SELECT FALSE = FALSE = TRUE;
Daniël van Eeden
The Reference Data Pattern: Extensible and Flexible — What if you have dozens and dozens of reference tables? Is there an alternative to the one-table-per-type approach? Learn a generic and extensible database design for handling all your reference data.
Jean-Marc Reynaud    tutorial   
How Things Work: Containers and Postgres — The use of containers to simplify and speed the deployment and development of applications is taking off. Most container usage is focused around stateless micro-services, but data and transactions are key components of most applications. Register and attend this informational webinar.
EnterpriseDB    sponsored   
InfluxDB v0.10 GA: Support for 100,000s of Writes Per Second and 98% Better Compression — InfluxDB is an open source time-series database designed for high-perf writes and compact disk storage with built-in clustering.
Paul Dix    news    tools   
How Graph Databases Stop E-Commerce Fraud in Real Time — Graph databases can be used to detect common patterns in data and behavior surrounding fraud.
Neo4j
Using PostgreSQL in R: A Quick How-To — R is a great language when it comes to analytics, and Postgres is a great database. How about bringing the two together?
Nina Zumel
BigQuery Under The Hood — A look at Google’s large scale data analysis platform. Notably, “it is nearly impossible to starve BigQuery out of resources [..] There is no such thing as one bad query taking down the entire service.”
Google Cloud Big Data Blog
Jobs
Heroku Data Infrastructure Engineer — Join the Heroku Data team and learn about supporting and operating database systems at scale.
Heroku
Stop Applying to Jobs - Let Companies Apply to You — On Hired, sign up in 10 minutes and get offers from top companies like Facebook, Uber, & Stripe. Engineers get an average of 5 offers on the platform in 1 week. Try it today.
Hired.​com
In brief
Redis Connector Aims to Boost Spark Performance — An attempt to radically boost Spark performance by using Redis as an in-memory backing store.
Datanami    news   
What's New in Elasticsearch 3.0?
Jolicode    news   
Redis Performance Dashboard and Autoscaling from RedisGreen — Redis auto-scaling and analytics. Backed by support from engineers with years of Redis scaling expertise.
RedisGreen    tools    sponsored   
Diagnosing and Resolving MySQL Deadlocks
Brandon Mayes    tutorial   
Summarizing Data in SQL
Matt DeLand    tutorial   
Running An Elasticsearch Cluster on Docker 1.9 with Swarm and Compose
Yoanis Gil Delgado    tutorial   
How To Back Up, Restore, and Migrate PostgreSQL Databases with Barman on CentOS 7
Sadequl Hussain    tutorial   
Five Things to Know about Databases that Leverage Partially Homomorphic Encryption
David Crooker    tutorial   
If You’re A DB, You Need to Manage CPU, Memory and IO
Oren Eini    opinion   
Hadoop's Second Decade: Where Do We Go From Here?
Datanami    opinion   
SQLDust: Complex SQL Generation from Elixir
Paul Engel    code   
Solve SIEBEL OM Crashes — Automated Siebel CRM Repository Review to solve OM crashes, data corruption, slow transaction, workflow and more for $1K in under 4 hours.
Germain Software    tools    sponsored   
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