Course Outline

Introduction

Data management involves the processes of storing and processing data. In the context of government operations, data management can take on a much larger dimension. The volume of data and the speed at which it must be processed, secured, shared, analyzed, and managed are critical for government.

This course is designed for entry-level engineers in government agencies. It provides an overview of the technologies, tools, architectures, and design methodologies used to manage large volumes of data for government. The curriculum covers both traditional forms of data storage, such as relational databases, and newer, less structured approaches.

The course compares traditional file systems with distributed file systems and examines the differences between traditional server architecture and clustered server architecture, all within the context of managing and processing big data across distributed systems for government.

Participants will engage in hands-on exercises and tests, followed by coaching from the instructor and group discussions to reinforce learning.

Major topics will include:

Hadoop

MS SQL

Oracle

Exadata

Data Hub

NoSQL

NewSQL

Storage

Business Intelligence

Data Architecture

Requirements

  • Basic understanding of databases for government use
  • Prior programming experience for government applications
 35 Hours

Number of participants


Price per participant

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