External data is easier to manage than the Hadoop Stack
Posted on Tuesday, December 19th, 2017 at 4:04 pm. This blog post was authored by Steve Sarsfield. It has been a thrilling ride. In a few short years, Hadoop has seen astronomical rise, but...
Category: Big Data, Analytical Data Platforms and Data Science-Blog Posts
Get started with analytics the easy way: MariaDB AX + Kubernetes
Get started with analytics the easy way: MariaDB AX + Kubernetes from MariaDB on Vimeo. Related Resources View all resources WEBINARS Why Innovative Enterprises Deploy Advanced Database Proxies In this webinar, we will provide...
An Introduction to Redis-ML (Part Five)
Sep 5, 2017 by Tague Griffith This post is part five of a series of posts examining the features of the Redis-ML module. The first post in the series can be found here. The...
An Introduction to Redis-ML (Part Four)
Aug 28, 2017 by Tague Griffith This post is part four of a series of posts introducing the Redis-ML module. The first article in the series can be found here. In this post,...
An Introduction to Redis-ML (Part Two)
Aug 10, 2017 by Tague Griffith This post is part two of a series of posts introducing the Redis-ML module. In the previous post of the series, we used the Python scikit-learn package and...
An Introduction to Redis-ML (Part Three)
Aug 18, 2017 by Tague Griffith This post is part three of a series of posts introducing the Redis-ML module. The first article in the series can be found here. The sample code for...
An Introduction to Redis-ML. Part One
Jul 24, 2017 by Tague Griffith Despite widespread interest in machine learning (ML), using it effectively in a real-time environment is a complex problem that hasn’t been given enough attention by framework developers. Nearly every...
Real-Time Machine Learning with TensorFlow, Kafka and MemSQL
In September, MemSQL presented on how to do real-time machine learning in under three minutes. Using data from a dating website, the demo shows how the latest features in MemSQL 6 make it easy...
Running Stored Procedures on Distributed Systems with MemSQL 6
A major addition to MemSQL 6, Extensibility gives customers the ability to write custom database logic to manipulate and processdata. MemSQL 6 also gives customers flexibility to process data required for machine learning applications...
MemSQL 6 Product Pillars and Machine Learning Approach
In October, MemSQL announced the general availability of MemSQL 6. Added functionality includes new extensibility features, increased query performance, and enhanced online operations. MemSQL 6 closes the gap between machine learning and operational applications...