Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
EUR 36,28
Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 45,51
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 57,65
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,87
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 65,79
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 139 pages. 9.25x7.00x0.25 inches. In Stock.
EUR 47,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
EUR 52,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 55,25
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 139 pages. 9.25x7.00x0.25 inches. In Stock. This item is printed on demand.