Processing Big Data with Azure HDInsight [electronic resource] : Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem / by Vinit Yadav.

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Публікація: Berkeley, CA : Apress : Imprint: Apress, 2017Видання: 1st ed. 2017Опис: XIX, 207 p. 93 illus., 73 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9781484228692
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 005.7 23
Класифікація Бібліотеки Конгресу:
  • QA76.9.B45
Електронне місцезнаходження та доступ:
Вміст:
Chapter 1: Big Data, Hadoop, and HDInsight -- Chapter 2: Provisioning HDInsight Cluster -- Chapter 3: Working with Data in HDInsight -- Chapter 4: Querying Data with Hive -- Chapter 5: Using Pig with HDInsight -- Chapter 6: Working with HBase -- Chapter 7: Real-Time Analytics with Storm -- Chapter 8: Exploring Data with Spark.
У: Springer eBooksЗведення: Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only. Processing Big Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits into the big data world. This book introduces Hadoop and big data concepts and then dives into creating different solutions with HDInsight and the Hadoop Ecosystem. It covers concepts with real-world scenarios and code examples, making sure you get hands-on experience. The best way to utilize this book is to practice while reading. After reading this book you will be familiar with Azure HDInsight and how it can be utilized to build big data solutions, including batch processing, stream analytics, interactive processing, and storing and retrieving data in an efficient manner. What You Will Learn: Understand the fundamentals of HDInsight and Hadoop Work with HDInsight cluster Query with Apache Hive and Apache Pig Store and retrieve data with Apache HBase Stream data processing using Apache Storm Work with Apache Spark.
Тип одиниці: ЕКнига Списки з цим бібзаписом: Springer Ebooks (till 2020 - Open Access)+(2017 Network Access)) | Springer Ebooks (2017 Network Access))
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Chapter 1: Big Data, Hadoop, and HDInsight -- Chapter 2: Provisioning HDInsight Cluster -- Chapter 3: Working with Data in HDInsight -- Chapter 4: Querying Data with Hive -- Chapter 5: Using Pig with HDInsight -- Chapter 6: Working with HBase -- Chapter 7: Real-Time Analytics with Storm -- Chapter 8: Exploring Data with Spark.

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only. Processing Big Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits into the big data world. This book introduces Hadoop and big data concepts and then dives into creating different solutions with HDInsight and the Hadoop Ecosystem. It covers concepts with real-world scenarios and code examples, making sure you get hands-on experience. The best way to utilize this book is to practice while reading. After reading this book you will be familiar with Azure HDInsight and how it can be utilized to build big data solutions, including batch processing, stream analytics, interactive processing, and storing and retrieving data in an efficient manner. What You Will Learn: Understand the fundamentals of HDInsight and Hadoop Work with HDInsight cluster Query with Apache Hive and Apache Pig Store and retrieve data with Apache HBase Stream data processing using Apache Storm Work with Apache Spark.

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