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SQL for Data Engineering

Gorilla Logic

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. This blog post is for you. So let’s begin with the first and, in my opinion, the most useful tool in your technical tool belt, SQL.

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. 4xlarge nodes in an autoscaling group with the minimum number of nodes set to 1. fixed sized clusters).

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Data Engineers of Netflix?—?Interview with Dhevi Rajendran

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.

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Survey: Execs eager to implement generative AI, but few know how

CIO

Overwhelming majorities of executives around the world are planning to spend money on generative AI this year, but very few are truly ready for the technology, according to a survey released today by the Boston Consulting Group. It forces conversations like ‘what kind of data stores do we have,’ and ‘what can we really do with them?’”

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Inferencing holds the clues to AI puzzles

CIO

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

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The Right Stuff: The Role of MLOps in AI Success

CIO

Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. Data scientists would really love to just build models and do real core data science. This gap is a significant reason why AI pilot projects fail. “AI MLOps to the rescue.

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Data Engineering is Critical to Big Data Success

Cloudera

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.