BIG DATA

Data governance technologies are evolving fast to meet the increasing demand of digital businesses today. This has forced organizations to adopt an all-inclusive data intelligence platform that integrate data governance, data quality and analytics capabilities for data-driven initiatives. Such platform enhances the ability to control data, empowering users to self-service their data needs without relying on just the IT department to solve business problems.

With a proper data governance strategy in place, data will be more secured and increases the audibility. Uniformity of data will make analysing, reporting and decision making easier.

Data governance can allow businesses to successfully take advantage of their data to gain actionable, data-driven insights that are timely, relevant and accurate.

Course Information

• Duration: 5 Day / 40 Hours
• Certification: Participants will receive a Certificate of Completion upon successfully completed the course
• Who Should Attend: IT, Data, Data Management (policy, quality), Data Analytics, Statistic, Business Owners and anyone seeking to acquire knowledge on data governance

Pre-Requisite

It is preferred that participants have foundation knowledge in data governance or attended the Data Governance Foundation Training with CASUGOL

Module 1 Introduction to Data Quality

Introduction

Drivers

Goals and Principles

Essential Concepts

Data Quality Activities

Tools

Techniques

Data Quality & Data Governance

Module 2 What is Data Security

Introduction

Drivers

Goals and Principles

Data Security Activites

Tools

Techniques

Data security governance

Module 3 Metadata management

Introduction

Drivers

Metadata Management Activities

Tools

Techniques

Implementation guidelines

Metadata Governance

Module 4 Reference and Master data management

Introduction

Activities

Tools & Techniques

Implementation guidelines

Organizational and cultural change

Reference and master data governance

Module 5 Data warehouse and business intelligence

Introduction

Drivers, goals and principles, essential concepts

Activities

Tools

Implementation guidelines

DW/BI governance

Module 6 Data Storage and operations

Introduction

Business Drivers, goals and principles, essential concepts

Activities

Tools

Techniques

Implementation guidelines

Data storage and operations governance

Module 7 Data integration and Sharing

Introduction

Business Drivers, goals and principles, essential concepts

Activities

Tools

Implementation Guidelines

Date integration governance

Module 8 Document and Content Management

Introduction

Business Drivers, goals and principles, essential concepts

Activities

Tools

Techniques

Implementation guidelines

Document and content governance

Module 9 Big Data and Data Science

Introduction

Business Drivers, goals and principles, essential concepts

Activities

Tools

Techniques

Implementation guidelines

Big data and data science governanace