Bigdata course for Novice by JPA Solutions

Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.

LINUX
Functional Python
INTRODUCTION TO BIG DATA-HADOOP
HDFS
YARN
HIVE
HBASE
SQOOP
FLUME&KAFKA
OOZIE
APACHE SPARK
IMPALA
POC

Big Data Use Cases
Product Development
Predictive Maintenance
Customer Experience
Fraud and Compliance
Machine Learning
Operational Efficiency
Drive Innovation

Big Data Best Practices
Align Big Data with Specific Business Goals
Ease Skills Shortage with Standards and Governance
Optimize Knowledge Transfer with a Center of Excellence
Top Payoff Is Aligning Unstructured with Structured Data
Plan Your Discovery Lab for Performance
Align with the Cloud Operating Model