Apache Spark with Scala - Learn Spark from a Big Data Guru: Learn Apache Spark and Scala by 12+ hands-on examples of analyzing big data

Lee

James Lee

$149.99

Video Apr 2018 3hrs 16mins 1st Edition

Lee

James Lee

$149.99

Video Apr 2018 3hrs 16mins 1st Edition

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Key benefits

- Apache Spark gives us an unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world.
- Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks. Apache Spark is the next-generation processing engine for big data.
- Tons of companies are adopting Apache Spark to extract meaning from massive data sets, today you have access to that same big data technology right on your desktop.Apache Spark is becoming a must tool for big data engineers and data scientists.

Description

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Apache-Spark-with-Scala---Learn-Spark-from-a-Big-Data-Guru This course covers all the fundamentals of Apache Spark with Scala and teaches you everything you need to know about developing Spark applications with Scala. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building a big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom, and much, much more. This course is taught in Scala. Scala is the next generation programming language for functional programming that is growing in popularity and it is one of the most widely used languages in the industry to write Spark programs. Let's learn how to write Spark programs with Scala to model big data problems today!

Who is this book for?

Anyone who wants to fully understand how Apache Spark technology works and learn how Apache Spark is being used in the field. Software engineers who want to develop Apache Spark 2.0 applications using Spark Core and Spark SQL.Data scientists or data engineers who want to advance their career by improving their big data processing skills.

What you will learn

- An overview of the architecture of Apache Spark.
- Work with Apache Spark s primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets.
- Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
- Scale up Spark applications on a Hadoop YARN cluster through Amazon s Elastic MapReduce service.
- Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding about Spark SQL.
- Share information across different nodes on a Apache Spark cluster by broadcast variables and accumulators.
- Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
- Best practices of working with Apache Spark in the field.

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