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

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