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Paperback. Zustand: New. Get up to speed with Apache Kudu, the column-oriented data store for Hadoop that not only provides an architectural simplification of several existing use cases, but also allows use cases not possible before. With this practical guide, enterprise architects working on big data implemetations will learn how Kudu's architecture and features solve a unique problem in the Hadoop ecosystem. For example, Kudu makes Hadoop viable for real-time IoT use cases in addition to making a transition from a massively parallel processing (MPP) SQL database engine plausible. If you're familiar with other storage layer projects such HDFS, HBase, Spanner, and Cassandra, you'll quickly learn-and appreciate-the unique contribution Kudu makes to this ecosystem. Explore how Kudu is compatible with data processing frameworks in the Hadoop environment Understand Kudu's architecture, internals, installation, and deployment Learn how to fully administer a Kudu cluster Become acquainted with low-level client APIs, how to integrate with SQL engines like Impala, and frameworks for integration Learn about table and schema design Get use cases, examples, best practices, and sample code.…

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Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Paperback. Zustand: Brand New. 139 pages. 9.25x7.00x0.25 inches. In Stock.

Paperback. Zustand: New. Get up to speed with Apache Kudu, the column-oriented data store for Hadoop that not only provides an architectural simplification of several existing use cases, but also allows use cases not possible before. With this practical guide, enterprise architects working on big data implemetations will learn how Kudu's architecture and features solve a unique problem in the Hadoop ecosystem. For example, Kudu makes Hadoop viable for real-time IoT use cases in addition to making a transition from a massively parallel processing (MPP) SQL database engine plausible. If you're familiar with other storage layer projects such HDFS, HBase, Spanner, and Cassandra, you'll quickly learn-and appreciate-the unique contribution Kudu makes to this ecosystem. Explore how Kudu is compatible with data processing frameworks in the Hadoop environment Understand Kudu's architecture, internals, installation, and deployment Learn how to fully administer a Kudu cluster Become acquainted with low-level client APIs, how to integrate with SQL engines like Impala, and frameworks for integration Learn about table and schema design Get use cases, examples, best practices, and sample code.…

Zustand: New. pp. 200.

Zustand: New. With this practical guide, you ll learn how Kudu s architecture and features solve a unique problem in the Hadoop ecosystem. If you re familiar with other storage layer projects such HDFS, HBase, Spanner, and Cassandra, you ll quickly learn-and appreciate-t.

Taschenbuch. Zustand: Neu. Neuware - Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominatoreither 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.…

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 224 pages. 9.25x6.25x0.75 inches. In Stock.

paperback. Zustand: New. Paperback. Pub Date: 2019-04-01 Pages: 192 Language: Chinese Publisher: Electronic Industry Press To achieve fast data entry. service and analysis in the Hadoop ecosystem. there have been only a few available but not perfect solutions. Either achieve fast analysis at the expense of slow data entry. or slow analysis.…