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Conducting log analysis with an observability platform and full data context

Dynatrace

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Seamless integration.

Analytics 187
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Kubernetes in the wild report 2023

Dynatrace

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. This report reflects Kubernetes adoption statistics based on the analysis of 4.1

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A case for ELT

Abhishek Tiwari

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. If the majority of your data is unstructured such as text, images, documents, etc. Classic ETL. Late transformation.

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Utilities, Strategic Investments, and the CIO

The Agile Manager

The Financial Times recently ran analysis and guest op-eds that sought to explain value in and from IT. The rise of Big Data - the ability to store and analyze large volumes of structured and unstructured, internal and external data - promises to let companies react more nimbly than ever before. Nor is cloud computing.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. All around us we see that the AWS capabilities foster a culture of experimentation with businesses of all sizes.

AWS 166