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The Open Data Lakehouse: Towards Democratized Data Analytics

The future looks bright for open data lakehouses, but why is that? It's not just some marketing term, but a real, intelligent approach ...

How Expensive is Real-Time Analytics?

Real-time analytics challenges often fall into three buckets: speed, volume, and data freshness. These challenges, however, are often s...

How Real-Time Analytics Works: A Step-by-Step Breakdown

How does real-time analytics work? How do we seamlessly transition from generating data to making data-driven decisions in a matter of ...

What Is User-Facing Analytics?

The democratization of data analytics continues to rank as a top priority for enterprises, and this in turn has made user-facing analyt...

Is JOIN a Luxury in Real-Time Analytics?

The ability to perform real-time analytics is becoming increasingly essential for businesses. However, the velocity and volume of real-...

How To Simplify Your Real-Time Analytics Pipeline

The ultimate goal of real-time analytics is to minimize the time for actionable insights. To achieve this, two factors need to be consi...

Is Real-Time Analytics Worth the Real-Time Cost?

As the need for real-time analytics continues to grow, so too do the operational costs associated with it. This has many business leade...

Real-Time Analytics: Is It Really for Everyone?

The allure of real-time analytics is irresistible to many, with the promise of making data-driven decisions in the blink of an eye. But...

Debunking The Biggest Myths About Real-Time Analytics

Is real-time analytics as difficult as it sounds? Not really, but it appears that way because it's either been done poorly in the past ...