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The Importance of Data Analytics with IPTV Middleware CMS

Smart Data Collective

There are a lot of applications of data analytics in the modern workplace. It’s your billing system that allows your IPTV/OTT platform to turn a profit, and it’s the source of invaluable user data and statistics. This data includes usage analytics & reports that you can view and analyse in order to optimize your service.

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The Role of Data Analytics in Football Performance

Smart Data Collective

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

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Accelerate Amazon Redshift Data Lake queries with AWS Glue Data Catalog Column Statistics

AWS Big Data

The external data catalog can be AWS Glue Data Catalog, the data catalog that comes with Amazon Athena, or your own Apache Hive metastore. To get the best performance on data lake queries with Redshift, you can use AWS Glue Data Catalog’s column statistics feature to collect statistics on Data Lake tables.

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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. One example of this trend is by using analytics to measure the engagement of Instagram stories to get customers to interact more frequently. Go Live Instagram loves live broadcasts.

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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

Amazon Managed Service for Apache Flink , formerly known as Amazon Kinesis Data Analytics, is the AWS service offering fully managed Apache Flink. Internally, Apache Flink uses clever mechanisms to maintain exactly-once state consistency, while also optimizing for throughput and reduced latency.

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Detect and handle data skew on AWS Glue

AWS Big Data

The stealthy nature of data skew means it can often go undetected because monitoring tools might not flag an uneven distribution as a critical issue, and logs don’t always make it evident. This can help make sure that data with similar characteristics is in the same partition and reduce the size of the largest partition.

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Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Suboptimal data distribution – If data distribution is suboptimal, you might notice a large broadcast or redistribution of data across compute nodes when two large tables are joined together. About the Authors Raks Khare is a Senior Analytics Specialist Solutions Architect at AWS based out of Pennsylvania.