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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

Even college sports teams have discovered the benefits of big data and started using it to make stronger cases to potential sponsors. As it continues to grow, the introduction of big data technology is helping the physical world expand from real-life person-to-person contact to the virtual esports world. billion in 2020.

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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. For more details, refer to Limitations.

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5G use cases that are transforming the world

IBM Big Data Hub

This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. Lower latency: 5G’s low latency , a measurement of the time it takes data to travel from one location to another, is a significant upgrade over previous generations.

IoT 108
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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

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. Put simply, it’s about fixing things before they break.

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Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale. Watermarks A watermark is a mechanism used to track and measure the progress of event time in a data stream.

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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

On receiving the signal, each source sub-task independently snapshots its state (for example, the offsets of the Kafka topic it is consuming) to a persistent storage, and then broadcasts a special record called checkpoint barrier (“CB” in the following diagrams) to all outgoing streams. It is then asynchronously sent to the backend.

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Achieve high availability in Amazon OpenSearch Multi-AZ with Standby enabled domains: A deep dive into failovers

AWS Big Data

In an OpenSearch Service cluster, the active and standby zones can be checked at any time using Availability Zone rotation metrics, as shown in the following screenshot. These systems rely on an active leader node to identify failures or delays and then broadcast this information to all nodes.