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Author: Scott Shaw Publisher: Apress ISBN: 1484202716 Category : Computers Languages : en Pages : 265
Book Description
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. What You Will Learn Install and configure Hive for new and existing datasets Perform DDL operations Execute efficient DML operations Use tables, partitions, buckets, and user-defined functions Discover performance tuning tips and Hive best practices Who This Book Is For Developers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL.
Author: Scott Shaw Publisher: Apress ISBN: 1484202716 Category : Computers Languages : en Pages : 265
Book Description
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. What You Will Learn Install and configure Hive for new and existing datasets Perform DDL operations Execute efficient DML operations Use tables, partitions, buckets, and user-defined functions Discover performance tuning tips and Hive best practices Who This Book Is For Developers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL.
Author: Food and Agriculture Organization of the United Nations Publisher: Food and Agriculture Organization of the United Nations ISBN: 9251326649 Category : Technology & Engineering Languages : en Pages : 82
Book Description
This is a practical tool to help beekeepers, veterinarians and beekeeping advisory services to properly identify main honeybee diseases and to take the most appropriate actions in the apiary to control and/or prevent disease outbreaks. This publication follows the TECA publication Main bee diseases: good beekeeping practices (2018) which provided a more general overview of good beekeeping practices for bee diseases. This manual is a unique publication because, through its presentation of practical information, simple visuals, and understandable content, it helps beekeepers to correctly identify main honeybee diseases in a timely manner. More specifically, the manual creatively illustrates actions which facilitate the identification of disease symptoms. It also presents a comprehensive list of good beekeeping practices to adopt in the apiary as well as biosafety measures to reduce the risk of the introduction and the spread of main honeybee diseases. The manual’s overall objective is ultimately to support a more sustainable beekeeping sector.
Author: Edward Capriolo Publisher: "O'Reilly Media, Inc." ISBN: 1449319335 Category : Computers Languages : en Pages : 351
Book Description
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes Customize data formats and storage options, from files to external databases Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other data processing programs Use storage handlers for NoSQL databases and other datastores Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce
Author: Deepak Vohra Publisher: Apress ISBN: 1484221990 Category : Computers Languages : en Pages : 429
Book Description
Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project. While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform. What You Will Learn: Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5 Run a MapReduce job Store data with Apache Hive, and Apache HBase Index data in HDFS with Apache Solr Develop a Kafka messaging system Stream Logs to HDFS with Apache Flume Transfer data from MySQL database to Hive, HDFS, and HBase with Sqoop Create a Hive table over Apache Solr Develop a Mahout User Recommender System Who This Book Is For: Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.
Author: Philip Chandler Publisher: Lulu.com ISBN: 1291620397 Category : Crafts & Hobbies Languages : en Pages : 99
Book Description
Top bar beekeeping really is 'beekeeping for everyone' - including people with mobility problems, bad backs, or a general reluctance to lift boxes: there is no heavy lifting once your hive is in place, as honey is harvested by the comb rather than by the box. Top bar hives are good for bees, good for the beekeeper and good for the environment. In this book, I will show you how easy it can be to build your own hive from scratch, using new or reclaimed timber and a few simple tools. If you can make a decent job of putting up a shelf, you can build yourself a fully functioning hive that bees will be proud to call home. By the author of The Barefoot Beekeeper.
Author: Scott Shaw
Author: Scott Shaw
Author: Lorenzo Lorraine Langstroth
Author: Lorenzo Lorraine LANGSTROTH
Author: Food and Agriculture Organization of the United Nations
Author: Edward Capriolo
Author: William M. Hall
Author: Deepak Vohra
Author: 
Author: Joseph Robert Garven Digges
Author: Philip Chandler