The Ultimate Hands-On Hadoop
Grasp the skills needed to design distributed systems to manage big data
Created by Frank Kane
Explore the power of Hadoop and its ecosystem as you learn to manage, store, and analyze big data using real-world datasets. Gain practical experience with distributed technologies like Spark, Flink, Pig, and Flume to solve real data challenges and scale your solutions.
Packt | Jun 2017 | 879 min
What You Will Learn
You will work through hands-on activities using real datasets, starting from installing Hadoop on your desktop to managing clusters and processing data. Each step introduces new tools and techniques, helping you build practical skills in storing, analyzing, and streaming big data with Hadoop and its ecosystem.
Key Features
- Set up and manage Hadoop clusters to efficiently store and process large datasets
- Analyze and query big data using tools like Spark, Pig, Hive, and MongoDB
- Stream and handle real-time data with Kafka, Flume, Spark Streaming, and Flink
Target Audience
Ideal for software engineers, programmers, and system architects with basic Python or Scala skills and some Linux command line experience. If you want to deepen your understanding of distributed systems, manage big data, or work with Hadoop technologies in real-world projects, this path is a great fit.
