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Course Outline

Introduction

Data management involves the storage and processing of information. Within an enterprise context, this function becomes significantly more complex. The volume of data and the speed at which it must be processed, secured, shared, and analyzed are critical factors.

This course is designed for entry-level engineers. It explores the various technologies, tools, architectures, and design methodologies used to handle large-scale data. We examine traditional storage methods, such as relational databases, alongside newer, less structured approaches.

The curriculum compares traditional file systems with distributed file systems, and standard server architecture with clustered server architecture, all within the context of managing and processing big data across distributed environments.

Participants will engage in hands-on exercises and assessments, followed by instructor coaching and group discussions.

Key topics include:

Hadoop

MS SQL

Oracle

Exadata

Data hub

NoSQL

NewSQL

Storage

Business Intelligence

Data Architecture

Requirements

  • Basic understanding of databases
  • Some prior programming experience
 35 Hours

Number of participants


Price per participant

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