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# School of SRE: Big Data
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# Big Data
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## Pre - Reads
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## Prerequisites
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- Basics of Linux File systems.
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- Basic understanding of System Design.
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## Target Audience
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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.
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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.
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## What to expect from this training
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## What to expect from this course
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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.
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## What is not covered under this training
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## What is not covered under this course
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Writing programs to draw analytics from data.
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## TOC:
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## Course Content
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1. Overview of Big Data
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2. Usage of Big Data techniques
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3. Evolution of Hadoop
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4. Architecture of hadoop
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### Table of Contents
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1. [Overview of Big Data](https://linkedin.github.io/school-of-sre/big_data/overview/)
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2. [Usage of Big Data techniques](https://linkedin.github.io/school-of-sre/big_data/overview/)
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3. [Evolution of Hadoop](https://linkedin.github.io/school-of-sre/big_data/evolution/)
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4. [Architecture of hadoop](https://linkedin.github.io/school-of-sre/big_data/architecture/)
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1. HDFS
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2. Yarn
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5. MapReduce framework
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6. Other tooling around hadoop
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5. [MapReduce framework](https://linkedin.github.io/school-of-sre/big_data/architecture/#mapreduce-framework)
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6. [Other tooling around hadoop](https://linkedin.github.io/school-of-sre/big_data/architecture/#other-tooling-around-hadoop)
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1. Hive
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2. Pig
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3. Spark
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4. Presto
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7. Data Serialisation and storage
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7. [Data Serialisation and storage](https://linkedin.github.io/school-of-sre/big_data/architecture/#data-serialisation-and-storage)
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