Plan Szkolenia

Introduction

Overview of Data Architecture

Understanding Data Architecture Goals and Principles

Learning About the Basics of Data Architecture

Exploring Frameworks, Characteristics, and Roles

Designing an Enterprise Data Architecture

Evaluating an Organization’s Data Assets

Creating a Staging Area Design

Creating Risk Mitigation Mechanisms

Developing Data Processing Models and Methods

Working with Big Data Systems

Evaluating and Updating Big Data Databases

Implementing Data Lake Capabilities

Establishing a Data Governance Solution

Building a Metadata Management System

Assessing and Monitoring Data Quality

Exploring Master Data Management Architectures

Summary and Conclusion

Wymagania

  • Experience with Python and SQL programming
  • Familiarity with database management systems
  • Familiarity with data analytics

Audience

  • Computer engineers
  • Data analysts
  • Project managers
 28 godzin

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