1. How Do I Learn Big Data?
~For Big Data Beginners
Visit : udemy.com/big-data-and-hadoop-for-beginners/
2. Topics
About Big Data
Hadoop Ecosystem
Verticals
Job Roles
Big Data Salary Trends
Skills Good To Have
Getting Started
3. About Big data
There are many ways data is being generated like tweets generated by
millions of users on Twitter, Facebook posts by billions of users, YouTube
videos uploaded every minute, and sensors generating data, a Boeing
generating terabytes of data in a single flight. These data can be termed
as Big Data.
Big Data is complex to analyze and solve because of the nature of the
data. They are mostly in semi-structured or unstructured form which
makes it difficult to extract information and business insight (using
traditional systems). This is where Hadoop comes into the picture.
4. Hadoop Ecosystem
HDFS: a distributed file storage system in Hadoop
Map-Reduce: a data processing engine in Hadoop
Hive: a data warehouse infrastructure built on top of Hadoop
Pig: a data pipeline infrastructure built on top of Hadoop
Scoop: a tool to transfer data from RDBMS world to Hadoop and vice-versa.
And many more tools, built on top of Hadoop, to solve different business problems.
6. Job Roles
Big Data Analyst
Hadoop Administrator
Big Data Engineer
Big Data Scientist
Big Data Manager
Big Data Solutions Architect
Chief Data Officer
8. Skills Good To Have
RDBMS: MySQL, Oracle, MS SQL Server etc.
SQL
ETL
Data Warehouse
Business Intelligence
Java/Python/Scala
9. Getting Started
Steps:
1. Learn Fundamentals of Hadoop
2. Learn HDFS, Map-Reduce, Hive, Pig
3. Start playing with small data sets (take one use case)
4. Build a sample Data Pipeline to see how Pig and Hive can be used together in
processing Big Data.
5. Go Big. Take real life problems, and try to solve them using Big Data Technologies
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