Big data Internship Program - Foundation

A Complete Guide to Learn Big data and Hadoop from Scratch.
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Big data Internship Program - Foundation
43 473
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4.5 hours
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May 2019
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FREE
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Why take this course?

🎓 Big Data Internship Program - Foundation 🚀

Course Headline:A Complete Guide to Learn Big Data and Hadoop from Scratch


Introduction: Welcome to the first step in your Big Data journey with our "Big Data Internship Program"! This comprehensive course is meticulously designed to align with a typical Big Data project life cycle stage, providing you with a solid foundation to kickstart your career in data analytics. Whether you're a beginner or looking to deepen your understanding, this course will guide you through the essentials of Big Data and Hadoop.


Course Overview: This part 1 course is focused on the foundation of Big Data. It covers both the technical and non-technical aspects that form the bedrock of a successful career in data management. Here's what you can expect to learn:


Technical Foundation: Dive into the core technologies that power Big Data environments. We'll refresh your knowledge on Unix, get you up to speed with Java as used in Big Data applications, and ensure you understand the ins and outs of git/github, which is integral to collaborative projects. Additionally, we'll walk you through the process of installing Hadoop, setting the stage for your hands-on learning experience.

  • 🔍 Unix Refresh
  • ☕️ Java for Big Data
  • 👥 Git/Github Best Practices
  • 🛠️ Hadoop Installation

Non-technical Foundation: Understanding the broader context of Big Data is just as important as the technical skills. This section will introduce you to the project life cycle, the various roles within a Big Data team, and real-life scenarios where Big Data makes a significant impact.

  • 📈 Big Data Project Life Cycle
  • 🧩 Roles in Big Data Implementation
  • 🌱 Real-life Big Data Projects

Big Data Topics: Get ready to explore the hadoop ecosystem, which is central to handling vast amounts of data. We'll delve into Hadoop Distributed File System (HDFS), MapReduce for processing large datasets, and introduce you to Spark, a powerful tool that can speed up your data analysis workflows.

  • 🗃️ Hadoop Ecosystem Overview
  • 🛫 Understanding HDFS
  • ⚔️ Mastering MapReduce
  • ⚡️ *Why Spark? (You'll see why it's a game-changer!)

By the end of this course, you'll have a comprehensive understanding of Big Data fundamentals and be well on your way to becoming proficient in Hadoop. Whether you're aiming for an internship or planning to upskill, this foundation will set you up for success in the world of Big Data.

Enroll now and take the first step towards a rewarding career in data science! 🎓🚀

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873604
udemy ID
09/06/2016
course created date
23/11/2019
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