BIG DATA ANALYTICS FOR DUMBASSES

Chapter 1: Introduction to Big Data

1. Meaning of Big Data 
2. Big Data Platform 
3. Use Cases of Big Data 

Chapter 2: Distributed File System

1. Introduction to Distributed File System 
2. Accessing Data on Distributed File System 
3. Processing Data on Distributed File System 

Chapter 3: Big Data and Its Importance

1. Importance of Big Data 
2. Business Implications of Big Data 
3. Need for Big Data in Business 

Chapter 4: Four Vs and Drivers of Big Data

1. Volume 
2. Velocity 
3. Variety 
4. Veracity 
5. Major Drivers for Big Data      

Chapter 5: Big Data Analytics and Applications

1. Meaning of Big Data Analytics 
2. Role of Big Data Analytics in Business 
3. Applications of Big Data 
4. Business Use Cases of Big Data 

Chapter 6: MapReduce

1. Introduction to MapReduce 
2. Algorithms Using MapReduce 
3. Understanding Inputs of MapReduce 
4. Understanding Outputs of MapReduce 

Chapter 7: Introduction to Apache Hadoop

1. Overview of Apache Hadoop 
2. Big Data and Hadoop 
3. Hadoop Environment 

Chapter 8: Hadoop Architecture and Ecosystem

1. Introduction to Hadoop Architecture 
2. Components of Hadoop 
3. Hadoop Eco-System 

Chapter 9: Moving Data and Job Execution in Hadoop

1. Moving Data into Hadoop 
2. Moving Data out of Hadoop 
3. Job Execution in Hadoop 
4. Managing Job Execution 

Chapter 10: Data Serialization in Hadoop

1. Introduction to Data Serialization 
2. Data Serialization in Hadoop 

Chapter 11: HDFS Overview Shell and Java API

1. Introduction to HDFS 
2. HDFS Concepts 
3. HDFS Installation 
4. HDFS Shell 
5. Introduction to Java API 
6. Interfacing with HDFS through Java API 

Chapter 12:  Hive, HiveQL and MapReduce Scripts 

1. Hive Architecture 
2. Hive Installation 
3. Hive Traditional Database 
4. HiveQL 
5. Querying, Sorting and Aggregating Data
6. Joins & Sub Queries
7. MapReduce Scripts in Hive 

Chapter 13: HBase

1. Introduction to HBase 
2. HBase Concepts 
3. Advanced Usage 
4. Schema Design 
5. Advanced Indexing 

Chapter 14: PIG and Zookeeper

1. Introduction to PIG 
2. Introduction to Zookeeper      
3. How Zookeeper Helps in Monitoring a Cluster 
4. How HBase Uses Zookeeper 
5. Building Applications with Zookeeper 

Chapter 15: Introduction to Spark

1. Introduction to Spark 
2. Data Analysis with Spark 
3. Downloading Spark 
4. Getting Started with Spark      

Chapter 16: RDDs and MLlib in SPARK

1. Introduction to RDDs 
2. Programming with RDDs 
3. Introduction to MLlib 
4. Machine Learning with MLlib 

Chapter 17: NoSQL

1. What is NoSQL? 
2. Why NoSQL? 
3. Where NoSQL is Used
4. Types of NoSQL Databases 
5. Why NoSQL? 
6. Advantages of NoSQL 
7. Use of NoSQL in Industry
8. SQL vs NoSQL 
9. NewSQL 

Chapter 18: Introduction to MongoDB

1. Introduction to MongoDB
2. MongoDB Key Features
3. Core Server Tools
4. MongoDB through JavaScript Shell 
5. Document-Oriented Database 
6. Databases, Collections and Documents 
7. Creating Indexes 
8. Querying through Indexes 
9. Querying through Indexes 
10. Schema Design Principles 
11. MongoDB Query Language 
12. Constructing Queries on Databases, Collections and Documents

Chapter 19: Conclusion