#234 — December 21, 2018 |
Database Weekly |
🎵 It's beginning to look a lot like Christmas... so we'll be taking a week off after this and will return on January 4 with a roundup of what happened in the database world in 2018. We hope you have a fantastic holiday season, whatever you celebrate, and both I and the entire Cooperpress team really appreciate you reading the newsletter over the year. — Peter Cooper, editor |
SQL is Dead, Hail to 'Flux'? — An introduction to Flux, a data-querying language from InfluxData that this developer is hyping up as a key database trend for 2019. Possibly not, but it certainly contains some interesting ideas and gets me thinking about new ways to build query languages and cross-compile them to work on legacy systems.. Antoine Solnichkin |
The Guardian: 'Bye Bye Mongo, Hello Postgres' — In April, popular British newspaper The Guardian switched off their MongoDB cluster and completed a migration to PostgreSQL on Amazon RDS. Here’s the full story. Philip McMahon |
On-Demand EDB Postgres Databases on the AWS Cloud in Minutes — Try the EDB Postgres Cloud Database Service free today. EnterpriseDB sponsor |
How the SQLite Database Works — This article looks at some architectural details of database implementation by using an early version of SQLite. Dhanushka Madushan |
The Nine Most Common Database Design Errors — Database design mistakes to avoid, to save you from some potential future headaches. Emil Drkušić |
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Data Deletion in a World with Endless Storage — It’s become so easy and inexpensive to store more and more data but being able to effectively delete it again is increasingly important. I suspect we'll see more focus on this topic in 2019 and 2020. Brian Vecci |
The Best PostgreSQL Articles, Tools and News of 2018 — This week’s Postgres Weekly looked back at the Postgres world in 2018 and the most popular tools and tutorials we linked. Postgres Weekly |
How to Design Highly Available Open Source Database Environments — Learn how to build an environment that stays up-and-running; even in the toughest of circumstances. Severalnines sponsor |
Amazon DynamoDB Increases the Number of Global Secondary Indexes and Projected Index Attributes You Can Create Per Table — And if you need more than 20 global secondary indexes, you can request an increase. Amazon Web Services, Inc. |
Analyzing IMDb Data The Intended Way, with R and ggplot2 — For IMDb’s big-but-not-big data, you have to play with the data smartly, and both R and ggplot2 have neat tricks to do just that. This comes from earlier in the year but I really enjoyed it. Max Woolf |
▶ Streaming Analytics: How to Get Fast Predictions From Real-Time Data — ..with Flink, Kafka, and Cassandra. Bas Geerdink |
SQL Clause Is Coming to Town — He’s making a table, he’s sorting it twice.. Chris Bertrand |
💻 Jobs |
UK Data Engineering Roles? Try hackajob — See how much you could earn by putting your skills to the test, average salary £65k. hackajob |
🐦 And seen on Twitter.. |