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7 Best Apache Spark Books for Beginners and Experts 2023

ProjectPro

Whether you're looking to expand your knowledge or get a head start on a big data project, our blog has got you covered. All topics are explained via code examples by the author, Mike Frampton. ProjectPro has curated a list of the best Apache Spark books that cater to different levels of expertise, from beginner to pros.

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Announcing the 2020 Data Impact Awards Finalists

Cloudera

Mike Barlow, Author “Learning to Love Data Science” (O’Reilly 2015) and Co-Author “Smart Cities, Smart Future” (Wiley 2018), Cumulus Partners. Patrick Moorhead, Founder, President, Principal Analyst, Moor Insights & Strategy. You can register your attendance here. the Data Lifecycle.

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Cybersecurity on Call: Nation-State Cyber Operations with Patrick Tucker

Cloudera

To discuss nation-state cyber operations, we have invited Patrick Tucker to our podcast. Patrick is the technology editor for Defense One. He’s also the author of The Naked Future: What Happens in a World That Anticipates Your Every Move. Follow Patrick Tucker @ DefenseOne on Twitter.

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Snaring the Bad Folks

Netflix Tech

Detection authors only need to be concerned with their actual detection logic, and everything else is handled for them. Make sure to check out some of our other recent blog posts! Speaking of new detections, we’ve more than doubled the number of our in-house detections, and onboarded several detection solutions from security vendors.

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The Ultimate Guide to Statistics for Machine Learning Beginners

ProjectPro

In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. Although it might seem a bit terse in the beginning, as you flip through more pages, you will get used to the symbols of the author and start experiencing the beauty of mathematical statistics the book provides.

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Operating System Snapshot Automation

LinkedIn Engineering

Co-authors: Rohit Jamuar, Tianxin Zhou Introduction LinkedIn has a large set of physical servers geographically spread across several locations. This blog discusses how this process was implemented and the impetus behind the OS Snapshot Automation (OSSA) project.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Flag System Authorization And Integration Failures Mitigate Risk of Code Failures 10. Another data team had their integration with Google Adwords failed because of an authorization issue.

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