Cloud Computing for Beginners – Database Technologies
Cloud Computing for Beginners – Database Technologies, available at $69.99, has an average rating of 4.55, with 31 lectures, 4 quizzes, based on 371 reviews, and has 14844 subscribers.
You will learn about DB, DBMS, Schema, ETL/ELT Operational and Analytics Data OLTP and OLAP Data WarehouseLake 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 This course is ideal for individuals who are Software Developers or IT Professionals or Solution Architects or Product/Project/Marketing Managers or Technical Advisors It is particularly useful for Software Developers or IT Professionals or Solution Architects or Product/Project/Marketing Managers or Technical Advisors.
Enroll now: Cloud Computing for Beginners – Database Technologies
Summary
Title: Cloud Computing for Beginners – Database Technologies
Price: $69.99
Average Rating: 4.55
Number of Lectures: 31
Number of Quizzes: 4
Number of Published Lectures: 31
Number of Published Quizzes: 4
Number of Curriculum Items: 35
Number of Published Curriculum Objects: 35
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- DB, DBMS, Schema, ETL/ELT
- Operational and Analytics Data
- OLTP and OLAP
- Data WarehouseLake
- 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
Who Should Attend
- Software Developers
- IT Professionals
- Solution Architects
- Product/Project/Marketing Managers
- Technical Advisors
Target Audiences
- Software Developers
- IT Professionals
- Solution Architects
- Product/Project/Marketing Managers
- Technical Advisors
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?
Course Curriculum
Chapter 1: Getting Started!
Lecture 1: Data is Everywhere!
Lecture 2: Our Learning Objectives
Chapter 2: Basic Database Terminology
Lecture 1: Overview
Lecture 2: DBMS, Database Instance and Schema
Lecture 3: Operational Data and OLTP
Lecture 4: Analytics Data and OLAP
Lecture 5: Data Warehouse and Data Lake
Lecture 6: ETL and ELT
Lecture 7: Batch and Stream Processing
Lecture 8: Scaling Up and Out
Chapter 3: Database Technologies – What, Where, and Why?
Lecture 1: Overview
Lecture 2: Traditional Relational Database (SQL)
Lecture 3: Non-relational Database (NoSQL)
Lecture 4: Distributed SQL Database (NewSQL)
Lecture 5: In-memory Database (IMDB)
Lecture 6: Time Series Database (TSDB)
Chapter 4: Types of NoSQL Databases
Lecture 1: Overview
Lecture 2: #1 – Key-value Database
Lecture 3: #2 – Document Database
Lecture 4: #3 – Wide Column Database
Lecture 5: #4 – Graph Database
Lecture 6: Databases Ranking Review
Chapter 5: Database as a Service (DBaaS)
Lecture 1: Overview
Lecture 2: The Challenges of Traditional Databases
Lecture 3: The Concept of DBaaS
Lecture 4: The Advantages of DBaaS
Lecture 5: Azure – DBaaS Portfolio Review
Lecture 6: AWS – DBaaS Portfolio Review
Lecture 7: GCP – DBaaS Portfolio Review
Chapter 6: Course Summary
Lecture 1: Quick Recap and Thank You!
Lecture 2: ** BONUS **
Instructors
-
Idan Gabrieli
Online Teacher | Data, Cloud, AI
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 42 votes
- 4 stars: 147 votes
- 5 stars: 181 votes
Frequently Asked Questions
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