Remove insights multi-cloud-guide
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Why the Data Journey Manifesto?

DataKitchen

Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. For example, just a few weeks ago, Microsoft announced data fabric, and John Kerski used it to frame up the discussion of how Microsoft data fabric supports DataOps principles.

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Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration. Zero-ETL is a set of integrations that eliminates the need to build ETL data pipelines.

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Sharpening Cloudera’s Cloud Focus in Asia Pacific and Japan

Cloudera

Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. What drew you to work in the cloud space? What drew you to work in the cloud space?

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. Data can be shared in files, batched or stream events, and more.

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Empowering Digital Innovation Through Data and the Public Cloud Together with Amazon Web Services

Cloudera

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud . The Journey to the Public Cloud in Four Steps .

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Addressing the data storm with the Enterprise Data Cloud

Cloudera

For some, this may look like a new category at this year’s Data Impact Awards. However, the Enterprise Data Cloud category marks the evolution of what was once the Data Anywhere category. How do I understand it and get meaningful insights? All this data can lead to what we call a data storm.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

Models are trained on a financial institution’s secure data, deployed and run internally, on their own infrastructure—or externally, in virtual private cloud (VPC) infrastructure, in the case of non-sensitive workloads. Formalize rules, standards, and best practices that guide how data is to be managed and used.