Analytics

Everything you need to know about the top 15 data integration tools of 2023.

The importance of timely and accurate IT insights is increasing rapidly in the modern era. Organizations often desire a customizable solution to meet the specific needs of their business best and increasingly want to mix data from multiple sources and match data to sales, HR, asset management and other sources in order to better understand root causes and drive better decision-making. To do so, they need a solution that is able to be flexibly tailored for all use cases.

How to preprocess data using BigQuery ML.

BigQuery BI Engine is a fast, in-memory analysis system for BigQuery currently processing over 2 billion queries per month and growing. BigQuery has its roots in Google's Dremel system and is a data warehouse built with scalability as a goal. On the other hand BI Engine was envisioned with data analysts in mind and focuses on providing value on Gigabyte to sub-Terabyte datasets, with minimal tuning, for real time analytics and BI purposes.

We partnered with American computer scientist Bill Inmon. Known as the “Father of the Data Warehouse,” he has much to say about HTAP and why it’s nothing more than a pie-in-the-sky vision of sorts.

Uncontrolled cloud costs pose an enormous risk for any organization. The longer these costs go ungoverned, the greater your risk. Volatile, unforeseen expenses eat into profits. Budgets become unstable. Waste and inefficiency go unchecked. Making strategic decisions becomes difficult, if not impossible. Uncertainty reigns.

What are benchmarks, and how can you use them to supercharge your company’s performance? Here is everything you need to know.

A case for using the data warehouse as a middleman for all point-to-point integration workflows.

By Victor Sonck, Developer Advocate at ClearML Reporting your findings to colleagues, managers, or even your future self is a core component of any modern ML workflow. Having one central place where you can easily build a summary of your work makes it that much easier. That’s where ClearML Reports come in.

The role of the CDO will not suffer the slow rise to prominence other emerging C-level roles have seen in previous years. Modern technologies designed to easily centralize, access, analyze, share, and monetize data have arrived. As a result, data has become the most powerful resource to drive an organization’s transformation. That puts CDOs at the wheel, their foot on the pedal, and their fellow execs holding on tight for the ride of their lives.