Remove Analytics Technologies Remove Business Analytics Remove Data Lake Remove Data Quality
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Building a Beautiful Data Lakehouse

CIO Business Intelligence

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. On the other hand, they don’t support transactions or enforce data quality.

Data Lake 107
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices.

Big Data 263