Enterprise Data Management

University of Padova via edX

edX

5 Courses


The University of Padova is one of the oldest universities in Europe, established in 1222. It provides a variety of degree courses and international partnerships, enhanced by its rich history and culture.

Overview

Discover the essentials of Enterprise Data Management with this comprehensive course, soon to be retired, offered by the prestigious University of Padova through edX. Dive deep into the world of high-quality information, crucial for the triumphant management of modern businesses. Despite the overwhelming amount of data collected by organizations today, the challenge remains to harness information that truly empowers decision-making processes.

Learn about the pivotal role of operational processing systems in capturing, storing, and manipulating data to support daily organizational operations. Understand the significance of reconciled systems, including data warehouses and business intelligence (BI) systems, in analyzing data to aid in decision making. With the emergence of big data, grasp how enterprise data management frameworks are being utilized by organizations to manage and derive insights from the collected data deluge.

This course will explore the utilization of operational, reconciled, and big data systems alongside data assets to bolster enterprise data management strategies and enterprise data analytics. Participants should note the requirement to purchase a textbook to successfully complete this course, as further detailed in the FAQ.

Targeting a broad spectrum of learners, this course is cataloged under multiple categories including Big Data Courses, Business Intelligence Courses, Data Warehousing Courses, Databases Courses, and SQL Courses, making it a perfect fit for individuals looking to excel in these areas.

Syllabus


Taught by

Ramesh Venkataraman, Jingjing Zhang and Vijay Khatri


Tags

united states

provider edX

edX

294 Courses


edX

pricing Free Online Course (Audit)
language English
duration 12 weeks, 8-10 hours a week
sessions On-Demand
level Advanced