Fundamentals of Big Data: Evolution of Data Management-Managing the data-Big Data- Big data management architecture. Big Data Types: Structure data – Unstructured Data-Real Time and Non-Real time requirements. Distributed Computing: History of distributing- Basics of Distributing- Performance.

Big Data Technology Components: Big Data Stack- Redundant Physical Infrastructure- Security Infrastructure- Operational Databases- Organizing Data Services and Tools – Analytical Data Warehouses – Big Data Analytics – Big Data Applications. Virtualization: Basic of Virtualization – Managing virtualization with Hypervisor – abstraction and Virtualization – Implementing Virtualization. Cloud and Big Data : clouds in the context of Big Data – Cloud Deployment and Delivery models – cloud as an imperative for big data – Use of cloud for Big Data.

Operational Database: Relational, Non-relational, key-value Pair, Document, Columnar, Graph, Spatial, Polygot Persistence. Map Reduce Fundamentals: Origin of Map Reduce – Map Function – Reduce Function – Putting Map and Reduce together – Optimizing Map – Reduce Tasks. Exploring the world of Hadoop: Hadoop Districted File System – Hadoop map Reduce. Hadoop Foundation And Ecosystem : Building Big Data foundations with Hadoop Ecosystems – Managing Resources and Applications with Hadoop YARN – Storing Big Data with HBase – Mining Big Data with Hive - Interacting with Hadoop Ecosystem

Appliances And Big Data Warehouse : Integrating Big Data with Traditional Data Warehouse- Big Data Analysis and Data warehouse – Changing the role of Data Warehouse – Changing Deployment Models to the big Data Era- Future of Data Warehouse. Defining Big Data Analytics : Using Big Data to get results- Modifying BI products to handle Big Data – big Data Analytics Examples. Integrating Data Sources : Identifying the data – fundamentals of Big Data Integration – Defining Traditional ETL – Understanding ELT – Prioritizing Big Data Quality – Using Hadoop as ETL – Best practices for Data Integration in a Big Data world.

Importance of Big Data To Business: Big Data as a Business planning Tool – Adding new Dimensions to the planning cycle- Keeping data analytics in perspective – Getting Started with the right Foundation – Getting the big Data Strategy started – Planning for big Data – Transforming business processes with big data. Ten big Data Best practices – Ten big Data Resources – Ten Big data do’s and don’t’s.