Скачать или смотреть History of Hadoop | Lec 2 | Data Engineering, Spark, and Databricks

Welcome to the first chapter of our comprehensive course on Data Engineering, Spark, and Databricks! In this video, we embark on an exciting journey into the world of Big Data. Whether you're an aspiring data engineer, a developer, or simply curious about how massive data sets are handled, this course is designed to guide you through the essential concepts and tools you need to succeed.

📌 What You’ll Learn in This Chapter:
In this introductory chapter, we'll cover:

The origins of Hadoop: How it started as a project inspired by Google's MapReduce and GFS papers.

The key figures behind Hadoop's development, including Doug Cutting and Mike Cafarella.

The role of Apache Software Foundation in Hadoop's growth and evolution.

An overview of Hadoop's core components: HDFS, MapReduce, and YARN.

How Hadoop revolutionized data storage and processing, enabling the rise of big data.

The challenges and limitations that led to the evolution of newer technologies like Spark.

🌟 Why This Course?
Big Data is at the core of digital transformation, and understanding its fundamentals is crucial for anyone looking to build a career in data engineering. In this course, we'll break down complex concepts into easy-to-understand lessons, accompanied by practical examples and hands-on exercises.

🔧 Tools and Technologies:
Throughout this course, we'll dive deep into tools like Apache Spark and Databricks, which are essential for processing and analyzing Big Data. You'll learn how to set up your environment, write efficient Spark jobs, and leverage Databricks for seamless data engineering workflows.

🎯 Who Should Watch This?
1. Aspiring Data Engineers
2. Software Developers and Engineers
3. Data Analysts interested in Big Data
4. IT Professionals transitioning to Big Data roles
5. Students and enthusiasts eager to learn about Big Data

📅 What’s Next?
Stay tuned for the upcoming chapters History of Big Data

🔗 Useful Links:
Skillsharp https://www.youtube.com/ @SkillSharp

🤝 Get Involved:
★ Like this video if you found it helpful!
★ Comment below with your questions or topics you’d like to see covered in future chapters.
★ Share this video with fellow learners and colleagues who might benefit from this course.

Start your Big Data journey with Skillsharp, and let's explore the limitless possibilities of data together!