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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. This is where the healthcare industry has a distinct advantage because payers and providers are sitting on an enormous amount of existing data. In fact, the average hospital produces 50 petabytes of data a year.

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Key Data Engineer responsibilities

Apiumhub

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

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Inferencing holds the clues to AI puzzles

CIO

Inferencing crunches millions or even billions of data points, requiring a lot of computational horsepower. 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. Inferencing and… Sherlock Holmes???

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

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Dataiku and Snowflake Bring New Capabilities to Data Engineers, Data Scientists, & Developers

Dataiku

One key to more efficient, effective AI model and application development is executing workloads on compute platforms that offer high scalability, performance, and concurrency.

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. fixed sized clusters).