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Introduction to Fundamental Skills for Data Work: Data Storage

via LinkedIn Learning Path

Overview

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Build comprehensive knowledge of how to design, implement, and optimize data storage solutions that meet diverse organizational needs. Gain expertise in data warehousing, understand when to use different storage paradigms, and develop skills in traditional and modern storage architectures. These courses teach data workers to make decisions on how to structure data for optimal performance and ensure reliable long-term data availability.
  • Explore data storage to organize and store data efficiently.
  • Understand data architecture and database management.
  • Ensure your data is accessible, secure, and optimized.

Syllabus

Courses under this program:
Course 1: Database Design Fundamentals
-Get an understanding of database design to help you use databases better, make your queries more efficient, and better understand the theory behind what makes joins work.

Course 2: Relational Databases Essential Training
-Modeling phenomena with a relational database is an invaluable skill in today’s big-data world. This course covers the fundamentals of the relational model for creating databases.

Course 3: Introduction to Data Warehouses
-Discover the basics of data warehouses, how they function and differ from other solutions, and how to implement them in your current or future role.

Course 4: NoSQL Essential Training
-Get a high-level view of the basics of NoSQL, from how it differs from relational databases to its pros and cons.

Course 5: Complete Guide to Data Lakes and Lakehouses
-Build the foundational knowledge and practical skills essential for data engineers, data scientists, and related professionals to effectively design and utilize data lakes.

Course 6: Data Mesh Architecture: Core Concepts
-Discover the fundamentals of data mesh architecture, including how to shift from traditional data management to a decentralized, domain-oriented model.

Taught by

Melody Zacharias, Adam Wilbert, Deepak Goyal, Melanie McGee, Thalia Barrera and Lauren Maffeo

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