Apache Spark Quick Start Guide: Quickly learn the art of writing efficient big data applications with Apache Spark

Author:   Shrey Mehrotra ,  Akash Grade
Publisher:   Packt Publishing Limited
ISBN:  

9781789349108


Pages:   154
Publication Date:   31 January 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Apache Spark Quick Start Guide: Quickly learn the art of writing efficient big data applications with Apache Spark


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Author:   Shrey Mehrotra ,  Akash Grade
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789349108


ISBN 10:   1789349109
Pages:   154
Publication Date:   31 January 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Apache Spark Apache Spark Installation Spark RDD Spark DataFrame and Dataset Spark Architecture and Application Execution Flow Spark SQL Spark Streaming, Machine Learning, and Graph Analysis Spark Optimizations

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Shrey Mehrotra has over 8 years of IT experience and, for the past 6 years, has been designing the architecture of cloud and big-data solutions for the finance, media, and governance sectors. Having worked on research and development with big-data labs and been part of Risk Technologies, he has gained insights into Hadoop, with a focus on Spark, HBase, and Hive. His technical strengths also include Elasticsearch, Kafka, Java, YARN, Sqoop, and Flume. He likes spending time performing research and development on different big-data technologies. He is the coauthor of the books Learning YARN and Hive Cookbook, a certified Hadoop developer, and he has also written various technical papers. Akash Grade is a data engineer living in New Delhi, India. Akash graduated with a BSc in computer science from the University of Delhi in 2011, and later earned an MSc in software engineering from BITS Pilani. He spends most of his time designing highly scalable data pipeline using big-data solutions such as Apache Spark, Hive, and Kafka. Akash is also a Databricks-certified Spark developer. He has been working on Apache Spark for the last five years, and enjoys writing applications in Python, Go, and SQL.

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