Data Management, Security and Warehousing
Who should attend?

The training course is suitable to a wide range of professionals but will greatly benefit: 

  • Systems Analysts
  • Programmers
  • Data Analysts
  • Database Administrators
  • Project Leaders
  • Software Engineers
  • Managers
  • Any Professional involved in Data Analytics
Programme Overview

Data Management, Security and Warehousing training course is designed for professionals and companies that want to take full advantage of Big Data thrive. As the Big Data phenomenon appeared the companies are relying more and more on adequate Data Analytics and Data Science to properly plan, prepare, react to the business challenges, as well as to innovate the way they are conducting their business and increase the level of service to their customers while at the same time reduce costs and streamline their processes. It has become so widespread that the term Industrial Revolution 4.0 become a household name.

With Big Data comes to the challenge of data management, as just having the data does not suffice, Data Management is defined as an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.

Objectives

At the end of this training course, you will:

  • Learn how to plan the steps in the data warehousing project
  • Acquire the knowledge to determine why there is an escalating need for strategic information
  • Get acquainted with the fundamental problem of data management and data warehousing
  • Learn the strategies of data security
  • Be able to determine what methods and tactics you should use in the Big Data era
Methodology

Data Management, Security and Warehousing training course adopts a problem‐based learning approach, in which delegates are presented with a series of real problems drawn from the widest possible range of applications – they range from economy models to supply chain and logistics, from oil and gas to civil engineering, and from production optimization to financial risk assessment. Each problem presents and exemplifies the need for a different modelling or analytical approach. This training course is entirely oriented towards planning, preparing and executing Data Warehousing project, with the focus on Data Management and Data Security.

Course Outline

DAY 1 - Agile Enterprise Data Warehousing

  • Agile Manifesto
  • The Scrum Method
  • Extreme Programming Approach
  • Lean Software Development
  • Sources for Data Warehousing Standards

DAY 2 - Data Security Strategies 

  • How to determine if you can trust your data?
  • ISO Standard ISO/IEC 17728
  • EU General Data Protection Regulation (GDPR)
  • Protecting the Data Warehouse
  • The Lifecycle of a Dataset

DAY 3 - Data Warehouse: The Building Blocks 

  • Data Defining Features
  • Data Warehouses and Data Marts
  • Data Warehouse Components Overview
  • Dimensional Analysis of Data
  • Requirements as the Driving Force for Data Warehousing

DAY 4 - Data Warehouse: Architecture and Infrastructure Requirements for Data Warehousing 

  • Hardware and Operating Systems
  • Database Software
  • Automation of Warehousing Tasks
  • Data Warehouse Architecture
  • Business Conceptual Model
  • Logical Data Model
  • Physical Data Model

DAY 5 - Data Management, Security and Warehousing Implementation 

  • Data Extraction, Transformation, and Loading
  • Data Design and Data Preparation-data Dimensional Modeling
  • Key Elements of Data Quality
  • Matching Information with the User
  • On-Line Analytical Processing (OLAP)
  • Big Data Processing in Cloud Environments


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