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Apache Spark Training

Live Online & Classroom Enterprise Training

Apache Spark is an open-source distributed data processing engine for large-scale data analytics. It enables fast processing of batch and real-time data using in-memory computation.

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What is Apache Spark Training about?

Apache Spark is one of the most widely used big data processing frameworks, known for its speed, scalability, and versatility. This course provides a deep dive into Spark’s core architecture and components, covering Resilient Distributed Datasets (RDDs), DataFrames, Spark SQL, and Spark Streaming. Learners will also explore advanced topics like MLlib for machine learning and integration with Hadoop and cloud platforms. Through hands-on labs, participants will gain the skills to develop scalable and efficient big data applications.

What are the objectives of Apache Spark Training ?

  • Understand the architecture and core components of Apache Spark. 
  • Work with RDDs, DataFrames, and Spark SQL for data analysis. 
  • Implement real-time stream processing with Spark Streaming. 
  • Apply machine learning algorithms using Spark MLlib. 
  • Integrate Spark with Hadoop, Hive, and cloud-based platforms.

Who is Apache Spark Training for?

  • Data Engineers working on big data pipelines. 
  • Data Scientists seeking to scale data analysis and ML workflows. 
  • Software Developers building distributed applications. 
  • BI and Analytics professionals moving into big data. 
  • Students and graduates aspiring to big data careers.

What are the prerequisites for Apache Spark Training?

Prerequisites:  
  • Basic programming knowledge (Python, Scala, or Java). 
  • Understanding of SQL and relational databases. 
  • Familiarity with big data concepts and Hadoop. 
  • Knowledge of data analysis fundamentals  
  • Experience with Linux/Unix command line (preferred). 

Learning Path: 
  • Introduction to Big Data and Apache Spark 
  • Spark Core: RDDs and Transformations 
  • DataFrames, Spark SQL, and Query Optimization 
  • Spark Streaming and Real-time Data Processing 
  • Machine Learning with Spark MLlib and Integrations 

Related Courses: 
  • Apache Hadoop 
  • Spark Fundamentals 
  • Machine Learning with Python 
  • Data Warehousing and BI Analytics

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

  • What is Apache Spark?
  • Running a Spark Application
  • Apache Spark Installation on Windows
  • Apache Spark Installation on Ubuntu
  • Apache Spark Streaming
  • Spark MLlib
  • SparkSQL
  • PySpark

Who is the instructor for this training?


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