Course Content
Cloud Computing Basics
- Objectives
- The Origin of Cloud Computing
- Defining Cloud Computing
- Five Characteristic of Cloud
- Three Service Models of the Cloud
- Four Deployment Models of the Cloud
- Understanding by Analogy
- Cloud Adoption By the Numbers
Introduction to Big Data
- Objectives
- How did my data get so Big?
- Big Data sources
- Big Data analysis
- Big Data Use Cases
- Key vendors
The World of Analytics
- Objectives
- Data Analytics
- Predictive Analytics
- The Life Cycle of Data Analytics
- Common Analytical Models (Decision Trees, Linear vs Logistic Regression, Bayesian Techniques, etc.)
Exploring the Four Vs
- Objectives
- The Value of Big Data and Analytics
- Key Business Cases
- Handling Data Volume
- Handling Data Velocity
- Handling Data Variety
- Recommended Best Practices
The Technology of Big Data
- Objectives
- Distributed Computing with MapReduce
- Apache Hadoop and the Hadoop Distributed File System (HDFS)
- Apache Hive, Pig, Sqoop, and Oozie
- Google Fusion Tables
- Machine Learning with BigML
- Web Analytics Toolsets
Standing up a Big Data and Analytics Team
- Objectives
- The importance of a Business Domain Model
- The role of an Information Architect
- Data Owners and Data Stewards
- Data Scientists
- Process Considerations
- Tool and Technology Recommendations
- Recommended Next Steps
