Remove Broadcasting Remove Metrics Remove Optimization
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Social Media Analytics: Twitter: Quantitative & Qualitative Metrics

Occam's Razor

Stale marketing or measurement thinking applied to them results in terribly sub optimal results for all involved. Are not just reporting "hits", rather coming up with clever metrics. Quantitative Metrics / Analyses. While on the surface they might seem useful, I am always suspicious of compound metrics.

Metrics 125
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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.

Snapshot 105
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Detect and handle data skew on AWS Glue

AWS Big Data

As a result, a developer may observe that their AWS Glue jobs are completing without apparent errors, yet the system could be operating far from its optimal efficiency. Another thing that you can use is the summary metrics for each stage. You can detect data skew with data analysis or by using the Spark UI.

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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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Improve OpenSearch Service cluster resiliency and performance with dedicated coordinator nodes

AWS Big Data

When you send requests to your OpenSearch Service domain, the request is broadcast to the nodes with shards that will process that request. We recommend using CPU optimized instances of a size similar to that of the data nodes. Coordinator metrics While the guidelines above are a good start, every use case is unique.

Metrics 111
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Machine Learning Improves Mesh Networks & Fights Dead Zones

Smart Data Collective

These networks can be even more effective when they are optimized with machine learning. There is a primary router, which is connected to an internet modem and broadcasts a signal throughout the house. As useful as mesh networks can be, they are even more effective when optimized with machine learning.

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The Role of Data Analytics in Football Performance

Smart Data Collective

Today, teams utilize sophisticated tracking systems, video analysis tools, and wearable devices to gather a wide range of performance metrics. In addition to performance metrics, data collection also includes injury and fitness data. However, the advent of advanced technologies and analytics has ushered in a new era of data collection.