Remove 2032 Remove Data Governance Remove Data Preparation
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Optimizing data flexibility and performance with hybrid cloud 

IBM Journey to AI blog

As the global data storage market is set to more than triple by 2032 , businesses face increasing challenges in managing their growing data. This shift to hybrid cloud solutions is transforming data management, enhancing flexibility and boosting performance across organizations.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?