R is a great language when it comes to analytics, and Postgres is great for storing your data. Fortunately, both of them can work well together and here’s your quick guide.

There have been some great posts about Postgres 9.5’s main features but there are some smaller items that make a difference - here’s three you may have missed.

Newly released EDB Postgres Advanced Server 9.5 features a range of enhancements for increased performance, scalability, security, and manageability to ensure success with Postgres for business critical workloads.

Postgres 9.5 is here, which means we can now look forward to Postgres 9.6. While it’s still early days, parallel joins will undoubtedly be one of the major highlights, and these could deliver some great performance improvements.

The Postgres stats collector generates a lot of write activity so this will help with overall system IO performance.

Integrating with R seems to be the hot thing for Postgres right now. Here’s our second post for the week looking at Postgres and R, this time with more advanced machine learning tied to it.

A tutorial on introducing a very fast fuzzy text search in Postgres using Phoenix and Ecto.

How to set up a discrete binomial tree using the binomial options pricing model to value derivatives in SQL, and apply this in an example of pricing a 3-period call option.

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