The Case for Learned Index Structures — Get your academic brain in gear with this exploratory research paper from MIT and Google that posits all existing index structures can be replaced with better performing learned indexes that can be built using deep-learning models. This is one of those “lots of databases might be doing this in 10 years” moments.

The Three-Valued Logic (3VL) of SQL — Besides true and false, the result of logical expressions in SQL can also be unknown.

Performance Analytics for Amazon Redshift. For Data Engineering Heroes — Amazon Redshift is incredibly powerful, but you can spend a lot of time fighting fires. We fix that. intermix.io gives you the tools you need to analyze your Redshift performance and improve the toolchain of everyone downstream from your cluster.

10 Key Big Data Trends That Drove 2017 — AI, Spark, and graph databases continue to grow, Hadoop’s star has faded slightly, and more.

RedFI: A Fault-Injection Redis Proxy — A tool for testing the resiliency of your app against faults in connecting to Redis (e.g. delays, dropped connections).

As Data Quality Declines, Costs Soar — Cleaning up and filtering ‘bad data’ is a growing area.

Database Performance Monitoring Buyer’s Guide — This guide is designed to aid when evaluating database monitoring solutions for your unique environment.

Using PopSQL for Collaborative SQL Editing — A commercial tool that’s free for one or two users.

Continuous Delivery: GoCD VS Spinnaker — An overview of GoCD & Spinnaker, why they are different from each other and which problems you should use them to solve.

Advanced Design Patterns for Amazon DynamoDB — A deep dive into design patterns for DynamoDB covering strategies for GSI sharding, index overloading, scalable graph processing and more.