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

IBM Big Data Hub

Here’s what you need to know in order to build a successful strategy. We’ll go deeper into EAMs, the technologies underpinning them and their implications for asset lifecycle management strategy in another section. What is an asset? First, let’s talk about what an asset is and why they are so important.

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The Role of Data Analytics in Football Performance

Smart Data Collective

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. In addition to performance metrics, data collection also includes injury and fitness data.

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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

But where do you start and how do you know which ALM strategy is right for you? The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle. Read this blog post to explore how digital twins can help you optimize your asset performance. The four stages of ALM 1.

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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.

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Data Analytics Helps Marketers Make the Most of Instagram Stories

Smart Data Collective

Most savvy marketers recognize the importance of using analytics technology to optimize their strategies to get a higher ROI. Instagram uses big data to identify and block offensive content, create personalized feeds for their users and optimize their advertising platform. Keep reading to learn more.

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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.