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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures.

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The Week of Data Conference Extravaganza: Databricks, Snowflake, LLM and the Future of Data Engineering

Data Engineering Weekly

But hey, I met my friends after a long time and got my copy of “ Fundamentals of Data Engineering ” signed by Joe Reis & Matt Housely. If you’re starting data engineering, I highly recommend reading it. There are many exciting announcements from both the data conferences, and I want to highlight a few themes here.

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Useful Lessons And Repeatable Patterns Learned From Data Mesh Implementations At AgileLab

Data Engineering Podcast

Summary Data mesh is a frequent topic of conversation in the data community, with many debates about how and when to employ this architectural pattern. The team at AgileLab have first-hand experience helping large enterprise organizations evaluate and implement their own data mesh strategies.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

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Data Product Strategies: How Cloudera Helps Realize and Accelerate Successful Data Product Strategies

Cloudera

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs.