Building Big Data Applications
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- Nombre de pages242
- PrésentationBroché
- FormatAlbum
- Poids0.51 kg
- Dimensions19,0 cm × 23,5 cm × 1,5 cm
- ISBN978-0-12-815746-6
- EAN9780128157466
- Date de parution15/11/2019
- ÉditeurAcademic press
Résumé
Building Big Data Applications will help data managers and their organizations make the most of unstructured data with an existing Data Warehouse. As Big Data continues to revolutionize how data are used, it does not have to create more confusion. Expert author Krish Krishnan will help readers make sense of how Big Data fits into the world of Data Warehousing in clear and concise detail. Readers will learn about infrastructure options and integration and come away with a solid understanding of how to leverage various architectures for integration.
The book includes a wide range of use cases that will help data managers with specifics on architectures, risks, and pitfalls in the context of specific industries (healthcare, scientific research, transportation, advertising). About the Author
The book includes a wide range of use cases that will help data managers with specifics on architectures, risks, and pitfalls in the context of specific industries (healthcare, scientific research, transportation, advertising). About the Author
Building Big Data Applications will help data managers and their organizations make the most of unstructured data with an existing Data Warehouse. As Big Data continues to revolutionize how data are used, it does not have to create more confusion. Expert author Krish Krishnan will help readers make sense of how Big Data fits into the world of Data Warehousing in clear and concise detail. Readers will learn about infrastructure options and integration and come away with a solid understanding of how to leverage various architectures for integration.
The book includes a wide range of use cases that will help data managers with specifics on architectures, risks, and pitfalls in the context of specific industries (healthcare, scientific research, transportation, advertising). About the Author
The book includes a wide range of use cases that will help data managers with specifics on architectures, risks, and pitfalls in the context of specific industries (healthcare, scientific research, transportation, advertising). About the Author