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

This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. 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 adopt Apache Spark for building 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 weblogs 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.

Style and Approach

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

  • Apache Spark gives us 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.
Course Length 3 hours 18 minutes
ISBN 9781789133394
Date Of Publication 15 Apr 2018


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.

Pedro Magalhães Bernardo

Pedro Magalhães Bernardo is a software engineer and data scientist based in Rome, Italy. Currently, he is working as a freelancer on different software projects across the globe. Previously, he has worked for start-ups and other companies in Brazil where he helped build data pipelines and software architectures for big data analysis. His main areas of expertise are software architecture and data engineering, and he is currently pursuing an MSc in Data Science at the University of Rome "La Sapienza".

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.

The Level Up Expert

The Level Up Expert Program teaches technology the way it is used in the industrial world. Their mission is to become your gateway to hands-on software courses from industry experts and influencers. The Level Up Expert Program is founded to gather industry experts to produce high-quality courses. Their current focus is DevOps and Big Data.