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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages.

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Best 40+ Inventory KPIs and Metric Examples for Reporting

Jet Global

Inventory KPIs and metrics are crucial aspects of the reporting process. Inventory KPIs provide businesses with accurate information to make data-driven decisions. Why Inventory KPIs and Metrics Are Essential for Reporting? Metrics help give management the full picture of operations they need to make impactful decisions. #2.

Metrics 52
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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

Rigorous data quality tests, such as Schema tests to confirm that the data structure aligns with the expected schema, Freshness tests to ensure the timeliness of the data, and Volume tests to validate the quantity of ingested data, should be a standard procedure.

Testing 169
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Stitch Fix seamless migration: Transitioning from self-managed Kafka to Amazon MSK

AWS Big Data

In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing. At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years.

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Extracting key insights from Amazon S3 access logs with AWS Glue for Ray

AWS Big Data

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 101
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The Role of Big Data Analytics in Gaming

Smart Data Collective

Video game data analytics involves the collection and gameplay analytics that allows one to understand the game’s problems and make a forecast of its development. The specialist’s responsibilities are: Key metrics analysis. Data integrity control. Creation and control of event funnels.

Big Data 117
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Detect and handle data skew on AWS Glue

AWS Big Data

AWS Glue is a fully managed, serverless data integration service provided by Amazon Web Services (AWS) that uses Apache Spark as one of its backend processing engines (as of this writing, you can use Python Shell , Spark , or Ray ). You can detect data skew with data analysis or by using the Spark UI.