Free Delivery on orders over €10 | See our open stores here: Store Locator

Getting started with Kudu

by Jean-Marc Spaggiari | 27 July 2018
Category: Databases
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 serversFully administer a Kudu cluster, enable security, and add or remove nodesLearn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulationExamine Kudu's schema design, including basic concepts and primitives necessary to make your project successfulExplore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
€55.99
167 Reward Points
In stock online
Delivery in 5 - 7 working days
Eligible for free delivery

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

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 serversFully administer a Kudu cluster, enable security, and add or remove nodesLearn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulationExamine Kudu's schema design, including basic concepts and primitives necessary to make your project successfulExplore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine
Quantity:
In stock online
Delivery in 5 - 7 working days
Eligible for free delivery
167 Reward Points

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

€55.99
In stock online
Delivery in 5 - 7 working days
Eligible for free delivery
Quantity:
167 Reward Points

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

Product Description

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 serversFully administer a Kudu cluster, enable security, and add or remove nodesLearn Kudu's client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulationExamine Kudu's schema design, including basic concepts and primitives necessary to make your project successfulExplore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine

Product Details

Getting started with Kudu

ISBN9781491980255

Format

PublisherO'REILLY (27 July. 2018)

No. of Pages156

Weight298

Language English (United States)

Dimensions 233 x 178 x 9