How to write a MapReduce Function in Databricks using PySpark | Data Engineering Tutorials

In this video we will get a glimpse of Hadoop and it's ecosystem like Hive, Sqoop and Hbase. We will also see how Hadoop framework works and how it stores the data in distributed manner.

Moreover, this video will discuss about how Map-reduce access the data from HDFS and processes the data. Get an insight about what is Spark and what are the benefits of using spark, comparison between spark and map-reduce. And finally understand the fundamentals of Azure Cloud, and what are the benefits of using it.

00:00 Why are data engineers more in demand as compared to data scientists?
03:55 Topics to be covered
07:56 What is the definition of Big Data?
09:22 IBM Definition Of Big Data
11:18 Requirement of Big Data
16:43 What is Hadoop?
20:58 Architecture of storing the data in hdfs.
28:48 Introduction to MapReduce.
32:05 Example of MapReduce Logic.
36:01 What is YARN?
37:39 Hive and Hadoop Ecosystem.
41:16 What is Spark & its importance?
45:54 Difference between Hadoop framework and Spark Framework.
47:29 About Ivy's Data Engineering course.
53:54 Introduction to Azure Cloud.
01:00:56 Do Companies hire Freshers in Data Engineering?
01:03:36 Can I move from non-IT Domain to Data Engineering Domain?
01:07:25 How Can I prepare for Data Engineering Role?

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