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Solving 10 Hadoop'able Problems

Hands-on solution to 10 real-world use-cases using Hadoop

TL

Created by Tomasz Lelek

Explore practical ways to tackle real-world big data challenges using the Apache Hadoop ecosystem. You'll get hands-on experience solving ten common data problems, building your skills with practical projects that show how Hadoop can be used in business and technical settings.

Packt | Feb 2018 | 192 min

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LevelIntermediate
CategoriesData Engineering, Data Warehousing and Big Data Processing Frameworks, Hadoop

What You Will Learn

You will start by getting familiar with the core components of Hadoop and setting up your own development environment. Through guided projects, you'll apply Hadoop tools to solve specific data challenges, working through each problem step by step to see how theory translates into practice.

Key Features

  • Gain practical experience solving real-world big data problems with Hadoop
  • Learn to analyze, process, and extract insights from various data types
  • Develop solutions for use cases like ad targeting, anomaly detection, and recommendations

Target Audience

This is a great fit if you are a data engineer, machine learning practitioner, or data analyst with some Hadoop basics. If you want to deepen your understanding of Hadoop's capabilities and learn to apply it to real business and technical problems, you'll find these projects both relevant and rewarding.

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