Apache Spark Quick Start Guide
quickly learn the art of writing efficient big data applications with apache spark
$110.64
- Paperback
154 pages
- Release Date
31 January 2019
Summary
A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.
Key Features- Learn about the core concepts and the latest developments in Apache Spark
- Master writing efficient big data applications with Spark’s built-in modules for SQL, Streaming, Machine Learning and Graph analysis
- Get introduced to a variety of optimizations based on the actual experience
Apache Spark is …
Book Details
| ISBN-13: | 9781789349108 |
|---|---|
| ISBN-10: | 1789349109 |
| Author: | Shrey Mehrotra, Akash Grade |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 154 |
| Release Date: | 31 January 2019 |
| Weight: | 0g |
| Dimensions: | 93mm x 75mm |
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About The Author
Shrey Mehrotra
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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