Hands-On with Hadoop 2: 3-in-1
Why take this course?
📚 Hands-On with Hadoop 2: 3-in-1 Course
Course Headline:
🚀 Run your own Hadoop clusters on your own machine or in the cloud!
Description:
Hadoop has cemented its position as the most popular, reliable, and scalable distributed computing and storage solution for Big Data. This 3-in-1 comprehensive training course is designed to provide you with a robust understanding of Hadoop's ecosystem through real-world examples and hands-on solutions to 10 real-world use-cases.
Contents and Overview:
This training program consists of three complete courses:
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Getting Started with Hadoop 2.x: This course will introduce you to the core concepts of Hadoop, including nodes, data sets, and operations such as map and reduce. You'll learn how to work with HDFS, understand the differences between jobs and tasks, and get familiar with the Hadoop UI. The course also covers data storage in HDFS, Data Transformations, and implementing algorithms in a Hadoop MapReduce way, culminating in an analysis of overall performance.
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Hadoop Administration and Cluster Management: This course takes you through the process of installing Apache Hadoop and configuring the necessary services. You'll learn various cluster operations, including validations, expanding and shrinking Hadoop services, and master administrative tasks like monitoring, logging, security, troubleshooting, and following best practices to ensure high availability and reliability of your clusters.
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Solving 10 Hadoop'able Problems: This course dives into the core parts of the Hadoop ecosystem, providing a broad understanding and equipping you to solve common Big Data problems using Hadoop. You'll tackle these challenges through case-study projects, each serving as a specific use case for solving complex data problems.
Skills Acquired:
By completing this course, you will be equipped to plan, deploy, manage, monitor, and performance-tune your Hadoop cluster with Apache Hadoop.
About the Authors:
👨💻 A K M Zahiduzzaman is a software engineer at NewsCred Dhaka, with a passion for technology and a talent for music as part of his band. His expertise in Ruby on Rails has evolved into a broader vision that includes introducing SOA within applications through microservices. He is also an experienced speaker, having presented at international events.
👨💻 Gurmukh Singh boasts over 14 years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. His expertise lies in the big data domain, where he provides consultancy and training on various technologies, including Hadoop. He is the author of "Monitoring Hadoop," and his work experience includes companies like HP, JP Morgan, and Yahoo.
👨💻 Tomasz Lelek is a Software Engineer and Co-Founder of InitLearn, with a programming background in Java and Scala. His enthusiasm for software development and big data technologies has led him to be a sought-after speaker at prominent conferences such as Confitura and JDD in Poland, and the Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference and shared his knowledge as an international speaker in Dhaka.
Why Take This Course?
- Real-World Skills: Gain hands-on experience with Hadoop, one of the most critical components for processing Big Data.
- Comprehensive Learning: Three courses in one, covering everything from basic concepts to advanced administration and troubleshooting.
- Expert Instructors: Learn from industry veterans with extensive real-world experience in big data and distributed systems.
- Career Advancement: Enhance your resume and open doors to new career opportunities in the rapidly growing field of Big Data.
🛠️ Dive into the world of Hadoop and become a Big Data expert today! 🛠️
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