Apache Spark with Scala - Learn Spark from a Big Data Guru [Video]

More Information
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.
About

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!

Style and Approach

This course covers 10+ hands-on big data examples involving Apache Spark. You will learn valuable knowledge about how to frame data analysis problems as Scala Spark problems.

Features
  • 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.
Course Length 3 hours 16 minutes
ISBN 9781789134537
Date Of Publication 10 Apr 2018

Authors

James Lee

James Lee is a passionate software wizard working at one of the top Silicon Valley-based start-ups specializing in big data analysis. He has also worked at Google and Amazon. In his day job, he works with big data technologies, including Cassandra and Elasticsearch, and is an absolute Docker geek and IntelliJ IDEA lover. Apart from his career as a software engineer, he is keen on sharing his knowledge with others and guiding them, especially in relation to start-ups and programming. He has been teaching courses and conducting workshops on Java programming / IntelliJ IDEA since he was 21. James also enjoys skiing and swimming, and is a passionate traveler.

Tao W.

Tao W. is a passionate software engineer who works in a leading big data analysis company in Silicon Valley. Previously Tao worked in big IT companies such as IBM and Cisco. Tao has a MS degree in Computer Science from University of McGill and many years of experience as a teaching assistant for various computer science classes. When Tao is not working, Tao enjoys reading and swimming, and he is a passionate photographer. In Level up, they aim to teach technology the way it is used in the industrial world. The Level up Big Data program is established to deliver high-quality data analytics courses from industry experts and influencers. Level UP was founded by James Lee and Tao W.