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portada Metadata Management for Data Lake Governance: A Machine Learning-Based Approach.DE
Type
Physical Book
Publisher
Language
English
Format
Paperback
Dimensions
22x15 cm
ISBN13
9786209780677

Metadata Management for Data Lake Governance: A Machine Learning-Based Approach.DE

New Book Imported to Taiwan
Delivery: 19 Nov - 27 Nov Shipping: 14 to 15 business days.
NT$ 3,541
NT$ 3,541

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Synopsis "Metadata Management for Data Lake Governance: A Machine Learning-Based Approach.DE"

In the big data era, data is distinguished by its volume, variety, velocity, value, and veracity (5V). Beyond storage, the main difficulty with big data is getting high-quality value out of large, quick, and varied datasets. Lastly, the Data Lake (DL) has emerged as a fresh idea to tackle big data analytics issues. Although big data has been studied in several academic publications, but there are still many research drawbacks associated with it, such as the data variation. In fact, the variety of data sources frequently resides in "information silos," which are groups of decoupled data management systems with diverse data models, query languages, and schemas. With conventional "schema-on-write" systems like data warehouses, several issues are raised to efficiently integrate, access, and query the immense volume of different data in these information silos.

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