Course Summary
Learn about IBM's data topology and how it can be used to optimize data storage and retrieval for your organization. This course covers key concepts and best practices for managing data in a modern enterprise environment.Key Learning Points
- Understand the basics of data topology and how it can be used to improve data management
- Learn about the different types of data and how they can be optimized for storage and retrieval
- Explore best practices for managing data in a modern enterprise environment
Related Topics for further study
Learning Outcomes
- Understand the core concepts of data topology
- Learn best practices for managing data in an enterprise environment
- Optimize data storage and retrieval to improve performance and efficiency
Prerequisites or good to have knowledge before taking this course
- Basic understanding of data management concepts
- Familiarity with enterprise environments
Course Difficulty Level
IntermediateCourse Format
- Online Self-paced
- Video Lectures
- Quizzes and Assignments
Similar Courses
- IBM Data Science Professional Certificate
- IBM Watson Studio Essentials
Related Education Paths
Notable People in This Field
- Creator of Apache Hadoop
- Inventor of the World Wide Web
Related Books
Description
Every business and organization is facing new challenges with their data. Pressures related to regulation and compliance, leveraging AI, spanning multicloud environments, and increasing volumes of inaccessible data are forcing executives and administrators to either modernize their infrastructures or become obsolete. But moving to the latest technology in a monolithic architecture is a tempting solution that can be expensive and cause more problems than it solves. In this course, you learn how to meet the needs of all your data consumers through the construction of a modern logical topology that helps you optimize data flow.
Outline
- IBM DataFirst Data Topology
- State of the industry
- Understanding data needs
- Introduction to data topology
- Start with business objectives
- Data topology overview
- Transforming your business with modern data and AI architectures
- Defining zones
- The "data hairball"
- Areas of focus
- Data needs and zones
- Data flow aspects
- Data topology core concepts part 1
- Data topology core concepts part 2
- Data topology core concepts part 3
- Data topology core concepts part 4
- Data topology core concepts part 5
- Data topology core concepts part 6
- Data topology core concepts part 7
- Constraints
- The laws of data physics
- Building your data topology - Overview
- Building your data topology step 1
- Building your data topology step 2
- Building your data topology step 3
- Building your data topology step 4
- Building your data topology step 4 starter zones pt1
- Building your data topology step 4 starter zones pt 2
- Building your data topology step 5
- Building your data topology step 6
- Building your data topology step 7
- Delivering a data topology engagement
- IBM Data Topology within IBM Garage Method
- DataFirst method summary
- Data topology summary
- Data Topology Introduction Quiz
- Topology Core Concepts Quiz
- Building Your Topology Quiz
- IBM Data Topology within IBM Garage Method Quiz
- Course Quiz
Summary of User Reviews
Students rave about the IBM Data Topology course on Coursera, calling it a valuable resource for anyone interested in learning more about data management and analytics. One key aspect that many users found particularly good was the depth and breadth of the course material, which covers everything from data modeling to data warehousing to big data analytics.Pros from User Reviews
- Comprehensive coverage of data management and analytics topics
- Engaging and informative lectures taught by experienced data professionals
- Hands-on assignments and projects that reinforce key concepts and skills
- Flexible and self-paced learning format that accommodates busy schedules
Cons from User Reviews
- Some users found the course content to be too basic or not challenging enough
- A few users experienced technical difficulties with the course platform
- Certain sections of the course were deemed to be more difficult or confusing than others
Mike Hervey
4.9 Raiting
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