Big Data and its Management Process
This training course aims at helping attendees understand why Big Data is changing our lives and how it is altering the way businesses see us as consumers. Indeed, users of big data in businesses find that big data unleashes a wealth of information and insights which translate to higher profits, reduced costs, and less risk. However, the downside was frustration sometimes when putting too much emphasis on individual technologies and not enough focus on the pillars of big data management.
Attendees will learn during this course how to manage the big data using its three pillars of data integration, data governance and data security in order to turn big data into real business value. Different exercices conducted on a case study of customer management will help attendees to better understand the underlying processes.
CxO, Business Strategists, Enterprise Architects, Business Architects, System Architects, Business Analysts, System Analysts
Introducing Big Data : Evolutions over the years
The Characteristics of Big Data
Identifying Different Sources of Big Data
How Big Data Is Used in Business ?
The challenges of Big Data
Identifying the Challenges of Big Data : Current and Emerging Challenges
Why Businesses are Struggling with Big Data ?
State of Big Data Projects
Understanding the layers of big data architecture
The Big Data Management - Introduction
Defining capabilities of big data management
Overcoming obstacles with big data management
Building Blocks of an Efficient Big Data Management
The Big Data Laboratory versus Big Data Factory
Understanding the Three Pillars of Data Management
Understanding functions of Big Data Management Processes
Competencies of the Big Data Team
Implementing Big Data Management
Implementing the Big Data Management
Identifying Big Data Tools
Leveraging the Right Tools
What are Commercial Tools built atop Open Source Projects ?
How to combine Integration, Governance and Security ?
Conclusion - Tips for Succeeding with Big Data Management
Use Cases to provide Business Value
Identifying Data Quality Issues Early
Aligning Your Vocabulary
Centralizing and Automating your Data Management
Leveraging Data Lakes
Collaborative Methods for Data Governance
Using a 360-Degree View on your Data and Relationships
How to work with Vendors to Accelerate Your Deployments ?
There are no prerequisites for this course.
|Capacity||Max 12 Persons|
|Training Type||Classroom / Virtual Classroom|