Category: rdbms

In the publishing industry, there are a lot of things we can measure. However, if there is no strategy underlining …

So you’ve decided that DataOps.liveis the right solution for your company – now what? Like most organizations, you’ll need buy-in …

As they investigate fraud schemes and scams, the police face challenges at every turn. They contend with high volumes of …

A novel approach to solving analytical data challenges, data mesh is rapidly gaining ground—and for good reason.   “Data mesh and …

Building a modern data stack from scratch is complex. Using traditional APIs and legacy data integration tools is tedious and …

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology …

Data self-service and data democratisation are two of the biggest trends in 2020. Enterprises want to enable their business users …

If you asked almost any current leader in data engineering to draw a “modern” data architecture on a whiteboard (or …

It’s the beginning of the year—a time to home in on what’s really going to make a difference for your …

Data collection is the single most important step in solving any machine learning problem. As such, teams that dive head …

The worldwide shift towards digitization has placed immense pressure on connectivity. Over  20 billion  Internet of Things ( IoT ) …

Data warehouses offer a window into an organization’s historical performance and ongoing operations, providing data analysts and business users with …