Скачать или смотреть 02 | History of Spark, Databricks, Big Data & Hadoop

Let's explore the history of Big Data, Hadoop, Spark, and Databricks—how it all started, who created these technologies, and why they became essential for modern data processing.

You’ll learn:
Why Big Data became a challenge (Volume, Variety, Velocity)
Google’s 2004 paper on GFS & MapReduce
How Doug Cutting developed Hadoop and its ecosystem (Hive, Pig, etc.)
The rise of Spark at UC Berkeley AMP Lab (2009) and its Apache adoption (2013)
The foundation of Databricks by the original Spark creators
How Databricks became the leader in big data & AI-driven analytics

By the end of this video, you’ll clearly understand how data processing evolved from Hadoop → Spark → Databricks, and why Databricks is the most powerful platform today.

#pyspark #databricks #hadoop

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