| Description |
1 online resource (350 pages) |
| Summary |
There's a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you'll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You'll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure, Platform and Taking Hadoop into the cloud. |
| Note |
Includes index. |
| Subject |
Apache Hadoop.
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Apache Hadoop |
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Electronic data processing -- Distributed processing.
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Traitement réparti. |
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Electronic data processing -- Distributed processing |
| Added Author |
Buss, Ian, author.
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Wilkinson, Paul, author.
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George, Lars, author.
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| Other Form: |
Print version: Kunigk, Jan. Architecting modern data platforms. First edition. Sebastopol, CA : O'Reilly Media, 2018 149196927X 9781491969274 (OCoLC)965482775 |
| ISBN |
9781491969243 (electronic book) |
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1491969245 (electronic book) |
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9781491969229 (electronic book) |
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1491969229 (electronic book) |
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