Big Data Full Course | Hadoop Tutorial For Beginners | Big Data Training | Intellipaat

This video on “Big Data Hadoop: Spark & Scala” is a big journey for aspiring Big Data Engineers. Firstly, you will be introduced to Big Data Hadoop and the problems with Big Data. Secondly, you will learn why Hadoop & Hadoop Ecosystem is important, Core Components: HDFS, HDFS Components: Nodes, Blocks, HDFS Workflow, MapReduce HDFS Quick Hands-On and Quick installation guide for Hadoop & basic commands. Next, we will introduce you to Hive and you will learn the basics of Hive & Workflow of Hive. Lastly, you will get introduced to Spark and learn about Spark in Hadoop Ecosystem, Spark Architecture and a quick installation guide for Spark & basic commands. A lot to learn, so let’s get started!!

🔵 What is Big Data?
Big data refers to enormous datasets that cannot be handled using typical computing techniques. It is no longer a single approach or tool, but rather a whole subject involving several tools, techniques, and frameworks. Big data refers to data generated by various devices and apps.

🔵 Why learn Big Data?
With the growth of apps and social media, as well as people and businesses moving online, there has been a massive increase in data. If we only look at social media platforms, we can see that they interest and attract over a million users every day, scaling up data more than ever before. The next question is how this massive amount of data is handled, processed, and stored. This is where Big Data comes into the picture

🔵 Following topics are coverd in this session:
00:00:00 - Introduction
00:01:33 - Introduction to Big Data
00:31:24 - Problems with Big Data
00:52:51 - Introduction to Hadoop
01:17:30 - Core Components
01:23:19 - Hadoop 2.x Vs Hadoop 3.x
01:28:02 - Introduction to HDFS
05:27:06 - Introduction to HIVE
06:23:18 - Introduction to Spark & Scala
06:34:14 - Hadoop vs Spark
06:46:19 - Spark Domain Scenarios
06:54:00 - Why is Scala Prefferred for Spark?
07:04:54 - Spark Framework

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