Data integration, data storage, and data migration are core skills for a data professionals. With data management projected to grow by 140% by 2030 (IoT Analytics), these skills are in hot demand! As part of the IBM Data Manager Professional Certificate, this Data Integration, Data Storage, and Data Migration Strategies gives aspiring data managers the essential skills employers are looking for.
Data Integration, Data Storage, & Data Migration
Data Integration, Data Storage, & Data Migration
This course is part of IBM Data Management Professional Certificate
Instructor: Skill-Up EdTech Team
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Build valuable applied data storage, integration, and migration skills employers need.
Gain hands-on experience using industry-specific data tools.
Demonstrate you understand data-related best practices and can apply methodologies through industry-standard processes.
Showcase your ability to solve problems related to data processes that you can talk about in interviews.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
October 2024
Assessments
11 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Data Management expertise
This course is part of the IBM Data Management Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from SkillUp EdTech
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
In this module, you explore various aspects related to data integration in three lessons. In the first lesson, you examine data integration and consider well-known implementation patterns. In the second lesson, you study data connectors and their necessity for effectively integrating data. In the last lesson, you learn about data integration operations management (DIOM). Additionally in this lesson, you explore DIOM-related issues including security, architecture, and the tools used in the field.
What's included
9 videos3 readings4 assignments3 plugins
In this module, you explore various aspects related to data storage in three lessons. You’ll begin the module with an overview of data storage and key concepts. You will explore file, block, object, and hybrid storage architectures and their use cases. The second lesson focuses on cloud storage due to its ubiquitous use across all industries. In the third lesson, you learn about the significance of backups and common backup techniques.
What's included
6 videos3 readings4 assignments2 plugins
In this module, you will explore data migration concepts, and related terminology. In lesson one, you will focus on migration architecture and differing processes to move data from one system to another. In the second lesson, you will learn about data moving to the physical location of an organization’s data centers as well as migration from one cloud to another. You will also complete a culminating project that ties together the topics you’ve learned in the course. In this scenario-based project, you take on the role of a junior data migration specialist at a fictional large retail chain. You will assist the lead architect in suggesting methods and processes to implement the provided data pipeline from legacy source systems to a unified data lake.
What's included
6 videos6 readings3 assignments1 peer review2 plugins
Instructor
Offered by
Recommended if you're interested in Data Management
DeepLearning.AI
University of California, Irvine
Duke University
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