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.


Audience



CxO, Business Strategists, Enterprise Architects, Business Architects, System Architects, Business Analysts, System Analysts

Introduction

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

Data Integration

Data Governance

Data Security

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.

Program Details
Duration 2 Days
Capacity Max 12 Persons
Training Type Classroom / Virtual Classroom


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