Learn By Example: Hadoop, MapReduce for Big Data problems

🎓 Dive Deep into Big Data with Hadoop & MapReduce!

Course Instructors:

Taught by a team of experts:

• 2 Stanford-educated, ex-Googlers with decades of practical experience in Java and managing billions of rows of data.
• 2 ex-Flipkart Lead Analysts, bringing strategic insights and real-world knowledge to the table.

About the Course:

A hands-on workout in Hadoop, MapReduce, and the art of thinking parallel. This course is meticulously designed to offer a comprehensive understanding of Hadoop and MapReduce from both macro and micro perspectives. It's an immersive experience that combines theoretical knowledge with practical applications, ensuring you not only learn but also master these technologies. 👩‍💻✨

What to Expect:

Zoom-in, Zoom-out Approach:

Both broad and deep:

• We delve into the specifics of Hadoop's components.
• We also explore how these components synergistically work together in a larger ecosystem.

Hands-on Experience:

Get your hands dirty with Hadoop and MapReduce:

• Learn to set up your own cluster using both VMs and the Cloud.
• Master advanced features of MapReduce, including Total Sort and Secondary Sort.

Art of Thinking Parallel:

Master the concept of parallel processing:

• We'll train you to approach problems by breaking them down into parallelizable units, a skill crucial for effective Big Data analysis.

What's Covered?

Cool Stuff You'll Learn:

• 👥 Recommend Friends using Collaborative Filtering.
• 📊 Analyze Data with Python and the Hadoop Streaming API.
• 🛠️ Customize MapReduce Jobs, including chaining, writing custom partitioners, and more.

HDFS & YARN Deep Dive:

• Understand the architecture of Hadoop's storage (HDFS) and resource management (YARN).
• Learn to configure and performance tune your cluster for optimal results.

Hadoop Setup & Configuration:

• 📦 Install Hadoop in various modes: Standalone, Pseudo-Distributed, Fully Distributed.
• 🖥️ Set up a Linux VM-based Hadoop cluster.
• ☁️ Deploy a cloud Hadoop cluster on AWS with Cloudera Manager.

Basics of MapReduce:

• Comprehend the inner workings of Mappers, Reducers, Sort/Merge, Partitioning, Shuffle, and Sort.
• Gain a solid foundation in HDFS & YARN to kickstart your journey into Big Data analytics.

Join us on this exciting journey to conquer the world of Big Data with Hadoop and MapReduce! 🌟🚀