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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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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Machine learning technology can do wonders to help reduce the risk of cryptocurrency thefts Over the past few years, we have seen a growing number of hackers weaponize artificial intelligence. How Do Crypto Wallets Work?

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The Role of Data Analytics in Football Performance

Smart Data Collective

Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. Coaches can analyze formations, player movements, and positioning to identify areas of improvement and optimize strategies.

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Win with AI: Niagara Bottling taps IBM Data Science Elite Team

IBM Big Data Hub

The IBM Data Science Elite team is working with Niagara on a model that could predict the risk of film breakage for given equipment settings.

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Seven customer service types that organizations should provide

IBM Big Data Hub

Unlike other communication channels, social media posts are broadcast to the public. For example, a customer could post on social media that a product is faulty and is at risk of injuring its users. This requires organizations to monitor their channels and use tools that create notifications every time their brand is mentioned.

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

IBM Big Data Hub

Greater alignment across business units: Optimize management processes according to a variety of factors beyond just the condition of a piece of equipment. capital and manpower), projected downtime and its implications for the business, worker safety, and any potential security risks associated with the repair.

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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.