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Data Integration, Data Storage, & Data Migration

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Data Integration, Data Storage, & Data Migration

This course is part of multiple programs.

Instructor: SkillUp

5,432 already enrolled

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

35 reviews

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

35 reviews

Intermediate level

Recommended experience

8 hours to complete

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

Tools you'll learn

Cloud Storage

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments¹

AI Graded see disclaimer

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

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

There are 3 modules in this course

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.

During this course, you’ll learn best practices and processes in these three key areas—data integration, storage, and migration. You’ll investigate data integration and automate data aggregation from disparate sources into a single view to make it useful for analysis. You’ll explore data storage methods and processes to ensure your data is organized. Plus, you’ll learn data migration processes businesses use to upgrade their legacy systems and infrastructure with minimal disruption to other business operations. If you’re looking to enhance your resume with the essential skills, a data manager needs to catch an employer’s eye, enroll today and boost your career opportunities in just three weeks!

Module details

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

9 videosTotal 65 minutes

Course Introduction3 minutes
Introduction to Data Integration and Patterns7 minutes
Point-to-Point Integration Pattern7 minutes
Extract Transform Load Integration Pattern8 minutes
Introduction to Data Connectors8 minutes
Database Connectors9 minutes
Security and Technical Architecture7 minutes
Overview of Data Integration Tools 8 minutes
Data Integration Operations Management9 minutes

3 readingsTotal 16 minutes

Course Overview3 minutes
Connectors Supplement 10 minutes
Summary and Highlights: Introduction to Data Integration3 minutes

4 assignmentsTotal 48 minutes

Practice Quiz: Data Integration Patterns6 minutes
Practice Quiz: Connectors and Integration Mechanisms6 minutes
Practice Quiz: Data Integration Deep Dive6 minutes
Graded Quiz: Introduction to Data Integration30 minutes

3 pluginsTotal 35 minutes

Reading: How to Make the Most of this Course 5 minutes
Activity: ETL with Power BI Simulation15 minutes
Lab: Consuming REST APIs with Power BI Simulation15 minutes

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

6 videosTotal 41 minutes

Introduction to Storage Concepts6 minutes
Storage Protocols8 minutes
Types of Cloud Storage7 minutes
Cloud Storage Service Providers 8 minutes
Backup Fundamentals 5 minutes
Backup Techniques 7 minutes

3 readingsTotal 23 minutes

RAID Concepts 10 minutes
Emergent Trends and Practices in Cloud Storage10 minutes
Summary and Highlights: Data Storage3 minutes

4 assignmentsTotal 48 minutes

Practice Quiz: Introduction to Storage Concepts6 minutes
Practice Quiz: Cloud Storage6 minutes
Practice Quiz: Backup Fundamentals6 minutes
Graded Quiz: Data Storage30 minutes

2 pluginsTotal 30 minutes

Lab: Azure Data Storage (Simulation)15 minutes
Activity: Data Backup and Recovery 15 minutes

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.