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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Data lakes, meanwhile, are flexible environments that can store both structured and unstructured data in its raw, native form. This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Data management.

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What is APM?

Dynatrace

Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations. Download Magic Quadrant. The post What is APM?

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What is Application Performance Monitoring?

Dynatrace

Gartner defines APM as: Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations. You can download the report here.

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Structural Evolutions in Data

O'Reilly

” That came to mind when a friend raised a point about emerging technology’s fractal nature. Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” I am wired to constantly ask “what’s next?”