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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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Porsche Carrera Cup Brasil gets real-time data boost

CIO Business Intelligence

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Today, at Microsoft Build in Seattle, Microsoft revealed it has combined those workloads under Real-Time Intelligence as Real-Time Analytics only supported Azure data.

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

AWS Big Data

Amazon Managed Service for Apache Flink , formerly known as Amazon Kinesis Data Analytics, is the AWS service offering fully managed Apache Flink. Internally, Apache Flink uses clever mechanisms to maintain exactly-once state consistency, while also optimizing for throughput and reduced latency.

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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and later, S3 file metadata-based join optimizations are turned on by default.

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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. By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime.

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Amazon Managed Service for Apache Flink now supports Apache Flink version 1.18

AWS Big Data

By default, the sink writes in batches to optimize throughput. SQL In Apache Flink SQL, users can provide hints to join queries that can be used to suggest the optimizer to have an effect in the query plan. The DataStream API now supports features like side outputs and broadcast state, and gaps on windowing API have been closed.