
IDC PlanScape: Future of Intelligence — Data Engineering
Description
IDC PlanScape: Future of Intelligence — Data Engineering
This IDC PlanScape clearly defines why data engineering is important, what data engineering is, how data engineering is implemented, and who is involved in the discipline of data engineering in modern data environments. It also addresses the confusion about data engineering being a technology or a discipline."Data engineering has exploded as a relatively new term in the modern data environment, relating to technology and roles in the organization that organize and orchestrate the movement and flow of data through an organization, for operational and analytical consumption that ultimately builds enterprise intelligence, " says Stewart Bond, research vice president of Data Intelligence and Integration Software Research at IDC. "But the function of engineering data is not new; it has existed for decades and became vitally important as extract, transform, and load technologies emerged to serve the needs of more distributed data networks, and repositories became more prevalent at the turn of the century."
Please Note: Extended description available upon request.
Table of Contents
13 Pages
- IDC PlanScape Figure
- Executive Summary
- Why Is Data Engineering Important?
- What Is Data Engineering?
- Who Are the Key Stakeholders?
- How Can My Organization Take Advantage of Data Engineering?
- Advice for Technology Buyers
- Related Research
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