Remove Big Data Remove Books Remove Data Lakes
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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

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Will private data work in a new-era AI world?

Dataconomy

One of the key questions we started from was: are most companies running the same frontier AI models, is incorporating their data the only way they have a chance to differentiate? Is data really a moat for enterprises? A lot of enterprise data still resides in mainframes, and getting it out is challenging.

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Podcast: Deciphering Data Architectures with James Serra

ODSC - Open Data Science

In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures.

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Unstructured data management and governance using AWS AI/ML and analytics services

Flipboard

The following is a high-level architecture of the solution we can build to process the unstructured data, assuming the input data is being ingested to the raw input object store. The steps of the workflow are as follows: Integrated AI services extract data from the unstructured data.

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning Blog

ENGIEs One Data team partnered with AWS Professional Services to develop an AI-powered chatbot that enables natural language conversation search within ENGIEs Common Data Hub data lake, over 3 petabytes of data. Subhro Bose is a Data Architect in Emergent Technologies and Intelligence Platform in Amazon.

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Adopting & Scaling AI, a Beginner’s Guide to Prompt Engineering, and Pretraining Large Language…

ODSC - Open Data Science

Choosing a Data Lake Format: What to Actually Look For The differences between many data lake products today might not matter as much as you think. When choosing a data lake, here’s something else to consider. When choosing a data lake, here’s something else to consider.

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Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas

AWS Machine Learning Blog

He works closely with enterprise customers building data lakes and analytical applications on the AWS platform. He has a background in AI/ML & big data. He wrote a book on AWS FinOps, and enjoys reading and building solutions. Polaris Jhandi is a Cloud Application Architect with AWS Professional Services.

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