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Cloud Computing for Beginners - Database Technologies

Master database technologies & DBaaS. Explore concepts, market applications, and practical uses. Build valuable data skills!

4.6(566)
15,562students
2h 24m
Certificate
Idan Gabrieli
Idan GabrieliOnline Teacher & Consultant | Cybersecurity, Cloud, AI

Course Content

Cloud Computing for Beginners - Database Technologies is a beginner-level Udemy course taught by Idan Gabrieli. It runs 2h 24m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 566 reviews, with 15,562 students enrolled. It is a paid course, last updated June 2025.

Data is the new energy driving modern businesses. To effectively utilize this valuable resource, you need robust data storage and management solutions. Think of data as energy – you need a reliable container and powerful engine to store, access, and leverage it. This means a flexible, fast, reliable, easy-to-manage, and cost-effective database.

Over the past few years, the demands on data storage have exploded. We're dealing with more diverse data types, larger data volumes, and longer data retention requirements than ever before.

The core of managing this "data energy" lies in database technologies. Choosing the right database for your specific application is crucial, impacting performance, scalability, and overall application success. Modern applications leverage a variety of database technologies, each optimized for particular use cases.

This training dives deep into database technologies, with a specific focus on cloud database services (DBaaS) offered by leading providers like Azure, AWS, and GCP. We'll explore the technical concepts, real-world market use cases, advantages, and disadvantages of each database type, tracing their evolution.

Ready to unlock the power of database technologies and cloud database solutions? Let's explore!

  • Data Storage
  • Database Technologies
  • DBaaS (Database as a Service)
  • Cloud Database Services
  • Azure Database
  • AWS Database
  • GCP Database
  • Data Management
  • Data Retention
  • Data Volumes
  • Flexible Databases
  • Fast Databases
  • Reliable Databases
  • Cost-Effective Databases
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