The 4th Shift in the Evolution of Finding Insights from Data
Real-time analytic databases that combine CRUD with streams for high concurrency and sub-second response times across billions of data points are needed for …
Why SQL Will Remain the Data Scientist’s Best Friend
A dizzying range of tools and services has grown out of the need to speed up and scale data analytics. However, one skill that has often been overlooked is …
Unifying the Data Warehouse and Data Lake Creates a New Analytical Rhythm
A unified analytics data warehouse based on a massively scalable architecture with a broad set of analytical functions helps enable the most demanding modern …
Oracle Melds Analytics with OLTP in MySQL DB
Oracle is moving to make it possible to combine OLTP and OLAP workloads using a managed cloud database
Real-time Analytics News Roundup for Week Ending January 18
In the news this week: an AI toolkit that helps businesses prepare board members for AI, enhancements to an intelligence SQL platform, new SaaS offerings to …
Rockset Bridges Divide Between SQL and Kafka
While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.
Promethium Combines AI and Natural Language to Automate SQL Requests
Rather than having to employ specialists to wrangle data for hours, the average SQL query can now be created and executed in less than four
Rapids Data Releases RapidsDB 4.0 For Improved SQL Queries
RapidsDB can support complex SQL queries, classify using a Hadoop-based dynamic model, and forward the results as a Kafka
Case Study: Multinational Retail Chain Migrates To Hadoop
How one big retail chain moved its data warehouse to a Hadoop
Managing a Real-Time Recovery in a Major Cloud Outage
Disasters happen, making sudden downtime reality. But there are things all cloud customers can do to survive virtually any
