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Learn About Cloudera’s Partner Network

Cloudera

I thrive on challenges and I’m empowered in partner marketing to develop new strategies to deliver optimal results. By bringing together various partners, we provide comprehensive solutions that address specific use cases and modernize data architecture. What excites you about working with Cloudera’s partner ecosystem?

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Ignoring data lifecycle management is putting your business at risk

CIO Business Intelligence

Enterprises are dealing with increasing amounts of data, and managing it has become imperative to optimize its value and keep it secure. Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

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5 Key Takeaways from Flink Forward 2023

Cloudera

This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Join our webinar December 14 to see a demonstration and ask questions. This will help accelerate deployment across environments and to optimize performance and resource utilization on an ongoing basis.

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Taming the Data Octopus: How Avista Transforms Data into Value with Alation

Alation

If data is the octopus, each tentacle then serves as a way to put that data to work. Some are dedicated to the management of the data : architecture, access, analytics, visualization, and automation. Best of all, Alation makes our data searchable. Curious to learn more about Avista’s quest to tame its data octopus?

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The Future of the Data Lakehouse – Open

Cloudera

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. In 2015, only 17% of organizations surveyed had big data implementations. Natural Language Analysis and Streaming Data Analytics.