Hadoop and Spark Fundamentals
About this course
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.
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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
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