Скачать или смотреть History of Apache Spark | From Hadoop to Modern Big Data Frameworks | day 24 tutorial

In this video, we’ll dive into the history of Apache Spark and understand how it became one of the most powerful Big Data processing frameworks.

You will learn:

The early days of Big Data (Hadoop & MapReduce).

Limitations of MapReduce and why a faster engine was needed.

How Spark was born in 2009 at UC Berkeley’s AMPLab.

When Spark became an Apache open-source project (2010).

Spark’s major milestones:

2013 → Apache Top-Level Project

2014 → Spark 1.0 Release

2016 → Spark 2.0 (Structured APIs, Spark SQL enhancements)

2020 → Spark 3.0 (Adaptive Query Execution, better performance)

Why Databricks was created by Spark’s original team.

How Spark revolutionized Data Engineering, Streaming, and Machine Learning.

This video gives you the historical context before we go deeper into Spark’s features and real-world use cases.

🔗 Watch the full Azure & Data Engineering Playlist:
channel link :    / @mydatalab-hemanth  
play list link :    • Hands-On Data Engineering Project Series