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What Is a Lakebase?

databricks

Separation of storage and compute : Lakebases store their data in modern data lakes (object stores) in open formats, which enables scaling compute and storage separately, leading to lower TCO and eliminating lock-in. At zero, the cost of the lakebase is just the cost of storing the data on cheap data lakes.

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Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Flipboard

The end-to-end workflow features a supervisor agent at the center, classification and conversion agents branching off, a humanintheloop step, and Amazon Simple Storage Service (Amazon S3) as the final unstructured data lake destination. Make sure that every incoming data eventually lands, along with its metadata, in the S3 data lake.

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AWS re:Invent 2024 Highlights: Top takeaways from Swami Sivasubramanian to help customers manage generative AI at scale

AWS Machine Learning Blog

We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressionsand to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Q: What made this re:Invent different?

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The Rise of Cybersecurity Data Lakes: Shielding the Future of Data

Dataversity

The increase in the prevalence and complexity of data breaches points to one conclusion – traditional cybersecurity measures are no longer enough to keep our valuable data safe. According to a recent report, data breaches exposed a staggering 35 billion records in the first four months of 2024.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Lets assume that the question What date will AWS re:invent 2024 occur? The corresponding answer is also input as AWS re:Invent 2024 takes place on December 26, 2024. invoke_agent("What are the dates for reinvent 2024?", A: 'The AWS re:Invent conference was held from December 2-6 in 2024.' Query processing: a.

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Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

Flipboard

According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports).

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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

Using data versioning can make it possible to have the snapshot of the training data and experimentation results to make the implementation easier at each iteration. The above challenges can be tackled by using the following eight data version control tools. This can also make the learning process challenging.