Remove Broadcasting Remove Metrics Remove Optimization
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Enterprises willing to spend up to $250 million on gen AI, but ROI remains elusive

CIO Business Intelligence

As leaders work to define the right metrics, those measures must be tightly aligned with the business strategy and should account for the cost of not investing. As leaders work to define the right metrics, those measures must be tightly aligned with the business strategy and should account for the cost of not investing.

ROI 81
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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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Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Amazon Redshift provides performance metrics and data so you can track the health and performance of your provisioned clusters, serverless workgroups, and databases. This will open the query plan in a tree view along with additional metrics on the side panel. For more information, refer to Amazon Redshift clusters.

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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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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.