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Getting Started with Kudu Vital Source e-bog
Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland og Ryan Bosshart
(2018)
O'Reilly Media, Inc
414,00 kr.
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Getting Started with Kudu
Perform Fast Analytics on Fast Data
Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland og Ryan Bosshart
(2018)
Sprog: Engelsk
O'Reilly Media, Incorporated
437,00 kr.
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Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (Juli 2018)
- Forfattere: Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland og Ryan Bosshart
- ISBN: 9781491980200
Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator—either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how. Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. In this book, current and former solutions professionals from Cloudera provide use cases, examples, best practices, and sample code to help you get up to speed with Kudu. Explore Kudu’s high-level design, including how it spreads data across servers Fully administer a Kudu cluster, enable security, and add or remove nodes Learn Kudu’s client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulation Examine Kudu’s schema design, including basic concepts and primitives necessary to make your project successful Explore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
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Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Paperback: 153 sider
- Udgiver: O'Reilly Media, Incorporated (August 2018)
- Forfattere: Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland og Ryan Bosshart
- ISBN: 9781491980255
Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator--either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how.
Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. In this book, current and former solutions professionals from Cloudera provide use cases, examples, best practices, and sample code to help you get up to speed with Kudu.
- Explore Kudu's high-level design, including how it spreads data across servers
- Fully administer a Kudu cluster, enable security, and add or remove nodes
- Learn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulation
- Examine Kudu's schema design, including basic concepts and primitives necessary to make your project successful
- Explore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
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