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What's new on the cloud for data engineers - part 12 (10.2023-02.2024)

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It's time for another part of "What's new on the cloud for data engineers" Let's see what happened in the last 5 months.

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What's new in Apache Spark 3.4.0 - shuffle changes

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Shuffle is a permanent point in the What's new in Apache Spark series. It's often one the most time consuming part of the jobs and knowing the improvement simply helps writing better pipelines.

IT 130
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What's new on the cloud for data engineers - part 11 (06-09.2023)

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It's time for another part of "What's new on the cloud for data engineers" Let's see what happened in the last 4 months.

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What's new in Apache Spark 3.3.0 - PySpark

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It's time for the last "What's new in Apache Spark 3.3.0." Today we'll see what changed in PySpark. before a break. Spoiler alert: Pandas users should find one feature very exciting!

IT 100
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The Big Payoff of Application Analytics

That’s what drove the five companies in this e-book to change their approach to analytics. You’ll learn: The challenges of missing or outdated analytics How buying an analytics solution can bring new life and revenue to older applications The value of embedding analytics to users, development teams, and the bottom line

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What's new in Apache Spark 3.5.0 - watermark propagation

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Watermark, or rather multiple watermarks management, has been a thorn in the side of Apache Spark Structured Streaming. It has improved in the previous release (3.4.0) but still had some room for improvement. Well, it did have because the 3.5.0 release brought a serious fix for the multiple watermarks scenario.

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What's new in Apache Spark 3.5.0 - Structured Streaming

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It's time to start the series covering Apache Spark 3.5.0 As the first topic I'm going to cover Structured Streaming which has got a lot of RocksDB improvements and some major API changes.

IT 130
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The Definitive Entity Resolution Buyer’s Guide

Do you need to know more about what to look for when assessing your options? Whether you're an entity resolution veteran or just getting started, you’re guaranteed to learn something new from this comprehensive guide. Are you thinking of adding enhanced data matching and relationship detection to your product or service?

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Blueprint to Modernize Analytics

But don't worry, Logi Analytics' Blueprint to Modernize Analytics will help you define your new solution, plot out how to get there and determine what you'll need in terms of time and resources. If it sounds like a daunting task, that's because it is. When it comes to your revenue and customer loyalty, don't be reactive, be proactive.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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New Study: 2018 State of Embedded Analytics Report

Read the 6th annual State of Embedded Analytics Report to discover new best practices. We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".