This course is designed as an entry point for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Spark. Topics include: An overview of the Hortonworks Data Platform (HDP), including HDFS and YARN; using Spark Core APIs for interactive data exploration; Spark SQL and DataFrame operations; Spark Streaming and DStream operations; data visualization, reporting, and collaboration; performance monitoring and tuning; building and deploying Spark applications; and an introduction to the Spark Machine Learning Library.
Students should be familiar with programming principles and have previous experience in software development using either Python or Scala. Previous experience with data streaming, SQL, and HDP is also helpful, but not required.
Software engineers that are looking to develop in-memory applications for time sensitive and highly iterative applications in an Enterprise HDP environment.
At the completion of the course students will be able to:
Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.