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Learn the Technology, Concept and Market Use Cases of Database Technologies and Database as a Service (DBaaS)
What you'll learn:- DB, DBMS, Schema, ETL/ELT
- Operational and Analytics Data
- OLTP and OLAP
- Data Warehouse\Lake
- Batch and Stream Processing
- SQL, NoSQL, NewSQL Technologies
- In-memory and Time-series Technologies
- NoSQL - Key-Value, Document, Wide column, Graph
- Database as a Service (DBaaS)
- DBaaS Portfolio Overview - Azure, AWS, GCP
Data is like Energy!
As you probably know, data is everywhere. Data is the energy that drives many business companies and organizations worldwide. If data is like energy, we need a storage container and an engine to store and access this energy, the data. A storing container that will be flexible, fast, reliable, easy to manage, and cost-effective.
Over the last couple of years, the application requirements to store and handle data changed dramatically. There are more data types to manage, higher volumes to operate, and a need to keep the data for a longer retention time.
Database Technologies and DBaaS
As you may guess, the container and the engine for running this energy, the data for the upper layer applications are all about databases. Selecting the right database technology for a specific use case can dramatically affect any aspect of an application. Modern applications are using a variety of database technologies optimized for different use cases.
This training is about databases technologies and, even more specifically, how such technologies are offered as cloud database services (DBaaS) by leading public cloud providers – Azure, AWS, and GCP. We will learn the technical concept, market use cases, advantages, and disadvantages of each database technology while following its evolution path.
Are you ready to explore the world of Database Technologies?
Overview
