mirror of
https://github.com/linkedin/school-of-sre
synced 2026-01-10 18:48:04 +00:00
35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
# School of SRE: Big Data
|
|
|
|
## Pre - Reads
|
|
|
|
- Basics of Linux File systems.
|
|
- Basic understanding of System Design.
|
|
|
|
## Target Audience
|
|
|
|
The concept of Big Data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it.
|
|
This training material covers the basics of Big Data(using Hadoop) for beginners, who would like to quickly get started and get their hands dirty in this domain.
|
|
|
|
## What to expect from this training
|
|
|
|
This course covers the basics of Big Data and how it has evolved to become what it is today. We will take a look at a few realistic scenarios where Big Data would be a perfect fit. An interesting assignment on designing a Big Data system is followed by understanding the architecture of Hadoop and the tooling around it.
|
|
|
|
## What is not covered under this training
|
|
|
|
Writing programs to draw analytics from data.
|
|
|
|
## TOC:
|
|
|
|
1. Overview of Big Data
|
|
2. Usage of Big Data techniques
|
|
3. Evolution of Hadoop
|
|
4. Architecture of hadoop
|
|
1. HDFS
|
|
2. Yarn
|
|
5. MapReduce framework
|
|
6. Other tooling around hadoop
|
|
1. Hive
|
|
2. Pig
|
|
3. Spark
|
|
4. Presto
|
|
7. Data Serialisation and storage |