Gained practical understanding of Big Data principles and Apache Spark during a training completed in July 2025 !
- Exploring the impact of Big Data on everyday personal tasks and business transactions with Big Data Use Cases. You’ll also learn how Big Data uses parallel processing, scaling, and data parallelism;
- Gaining a fundamental understanding of the Apache Hadoop architecture, ecosystem, practices, and commonly used applications, including Distributed File System (HDFS), MapReduce, Hive, and HBase;
- Exploring the attributes and benefits of Apache Spark and distributed computing. You'll gain key insights about functional programming and Lambda functions. And also exploring Resilient Distributed Datasets (RDDs), parallel programming, resilience in Apache Spark, and relate RDDs and parallel programming with Apache Spark;
- Exploring how Spark processes the requests that your application submits and learn how you can track work using the Spark Application UI;
- Learning about connecting the Apache Spark user interface web server and using the same UI web server to manage application processes.
