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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Look for a suitable big data technologies company online to launch your career in the field. Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. What Are Big Data T echnologies?

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Combining The Simplicity Of Spreadsheets With The Power Of Modern Data Infrastructure At Canvas

Data Engineering Podcast

In this episode Ryan explains how he and his team have designed their platform to bring everyone onto a level playing field and the benefits that it provides to the organization. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

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Data Observability: Reliability In The AI Era

Monte Carlo

When we introduced the concept of data observability four years ago, it resonated with organizations that had unlocked new value…and new problems thanks to the modern data stack. Now, four years later, we are seeing organizations grapple with the tremendous potential…and tremendous challenges posed by generative AI.

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Adopting Real-Time Data At Organizations Of Every Size

Data Engineering Podcast

The promise of insights that are always accurate and up to date is appealing to organizations, but the technical realities to make it possible have been complex and expensive. By the time errors have made their way into production, it’s often too late and damage is done.

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Will Facebook / Meta do engineering layoffs?

The Pragmatic Engineer

Part of this article was originally published in The Scoop #27 , for subscribers of The Pragmatic Engineer Newsletter last week. The Business Insider article was not specific to software engineers but still spread heavily within tech circles. I talked with engineering managers at Meta to find out how much truth they see in this claim.

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Data Quality Monitoring Explained – You’re Doing It Wrong

Monte Carlo

The argument goes something like: “You may have hundreds or thousands of tables in your environment, but only a few really matter. That’s where you really want to focus your data quality monitoring.” Examples of data quality monitors include “freshness monitors” (is your data coming in on-time?)

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The Cost of Bad Data

Monte Carlo

When data engineers tell scary stories around a campfire, it’s usually a cautionary tale about bad data. But just how much can data downtime actually cost your business? Data downtime—as we’ve come to call it—is the period of time when your data is partial, erroneous, missing, or otherwise inaccurate. A scary story, indeed.

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