Hands-On Big Data Analysis with Hadoop 3
Build effective analytics solutions with Hadoop 3
Created by Tomasz Lelek
Explore practical big data analysis by working with Hadoop 3 and its ecosystem. Discover how to process, analyze, and manage large datasets using tools like Hive, Spark, and HBase. Gain hands-on experience applying analytics techniques to real-world scenarios.
Packt | Aug 2018 | 96 min
What You Will Learn
You will build your skills through hands-on projects that use real data and practical scenarios. Step-by-step guidance helps you set up Hadoop tools, process raw data, and apply analytics techniques. By working through real-world examples, you'll gain confidence using the Hadoop ecosystem for big data analysis.
Key Features
- Process and analyze large datasets using Hadoop, Hive, and Spark tools
- Perform real-time and batch analytics with Spark Streaming and MapReduce
- Apply big data techniques to real-world scenarios and cloud environments
Target Audience
Designed for data professionals and analysts with basic Hadoop and Java knowledge who want to advance their big data skills. If you're aiming to build efficient analytics solutions or handle real-time data processing in your projects, you'll find practical value and actionable insights here.
