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Structural Evolutions in Data

O'Reilly on Data

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware.

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The New O’Reilly Answers: The R in “RAG” Stands for “Royalties”

O'Reilly on Data

Will content creators and publishers on the open web ever be directly credited and fairly compensated for their works’ contributions to AI platforms? Generative AI may be a groundbreaking new technology, but it’s also unleashed a torrent of complications that undermine its trustworthiness, many of which are the basis of lawsuits.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? 17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. Finalize testing. Train end-users.

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Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

Solution overview AWS AppSync creates serverless GraphQL and pub/sub APIs that simplify application development through a single endpoint to securely query, update, or publish data. When you’re logged in, you can start interacting with the application. Make sure the function is already deployed and working in your account.

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How REA Group approaches Amazon MSK cluster capacity planning

AWS Big Data

Hydro is powered by Amazon MSK and other tools with which teams can move, transform, and publish data at low latency using event-driven architectures. To address this, we used the AWS performance testing framework for Apache Kafka to evaluate the theoretical performance limits.

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

They can be fun and interactive, too. The author recently published an “expanded follow-up” to her book called “Storytelling With Data: Let’s Practice!”. Your Chance: Want to test a powerful data visualization software? Be aware that there is a second edition to this book published in 2019. click for book source**.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Health care is another highly regulated industry that AI is rapidly changing. Earlier this year, the U.S.