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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. Then it broadcasts the barrier downstream. However, it continues to process partitions that are behind the barrier.

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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and Athena engine version 2, AWS has been developing query plan and engine behavior optimizations that improve query performance on Trino. Starting from Amazon EMR 6.8.0

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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

But things go awry and when they do, Proctor & Gamble now employs its Hot Melt Optimization platform to catch snags and get the process back on track. The resulting platform was pilot tested for nine months at one P&G plant before being rolled out half of P&G’s Pampers manufacturing plants across the US.

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

This means that anybody that is possible victim will need to leverage AI-driven cyber security measures to protect their digital assets. But can cybersecurity measures predicated on machine learning actually help stop cryptocurrency scams? In 2019, another team tested the new fraudulent behavior Honeypot in Ethereum.

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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

Digital twins allow companies to run tests and predict performance based on simulations. Decision-makers will want to take into consideration a variety of factors when attempting to measure this, including asset uptime, projected lifespan and the shifting costs of fuel and spare parts.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 1

AWS Big Data

Internally, Apache Flink uses clever mechanisms to maintain exactly-once state consistency, while also optimizing for throughput and reduced latency. The time a sub-task spends on the synchronous and asynchronous parts of the checkpoint is measured by Sync Duration and Async Duration metrics, shown by the Apache Flink UI.

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Smarter Career Choices #3: Solve for the Global Maxima!

Occam's Razor

The lesson is about the limitation of optimizing for a local maxima, usually in a silo. If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. First one will be Reach.