Gain practical, hands-on experience installing and running Hadoop and Spark on your own desktop or laptop, and progress to managing real-world cluster deployments. Through engaging lessons and interactive examples, you’ll master essential concepts such as HDFS, MapReduce, PySpark, HiveQL, and data ingestion tools, while also learning to leverage user-friendly interfaces like Ambari and Zeppelin to streamline analytics workflows and cluster administration. By the end of this course, you’ll possess the foundational skills and confidence to begin your journey in big data analytics and explore the vast Hadoop ecosystem.
What you'll learn
installing Hadoop
installing Spark
managing cluster deployments
understanding HDFS
implementing MapReduce
using PySpark
querying with HiveQL
data ingestion tools
navigating Ambari
navigating Zeppelin
Course objectives
provide practical experience with Hadoop and Spark
teach essential big data concepts
prepare learners for real-world analytics applications