Book Image

AWS Certified Cloud Practitioner Exam Guide

By : Rajesh Daswani
3 (1)
Book Image

AWS Certified Cloud Practitioner Exam Guide

3 (1)
By: Rajesh Daswani

Overview of this book

Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects. The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices. Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.
Table of Contents (23 chapters)
1
Section 1: Cloud Concepts
5
Section 2: AWS Technologies
16
Section 3: AWS Security
18
Section 4: Billing and Pricing
20
Chapter 16: Mock Tests

Understanding the use cases for Amazon Redshift and data warehousing

A data warehousing solution is a specialized database solution designed to pull data from other relational databases and enable complex querying and analytics to be performed across different datasets. For example, you can combine data across customer orders, inventory data, and financial information to analyze product trends, demands, and return on investments.

Clients of Amazon Redshift include business intelligence (BI) applications, reporting, and analytics toolsets.

Online Analytical Processing (OLAP)

Amazon Redshift is designed for analytics and is optimized for scanning many rows of data for one or multiple columns. Instead of organizing data as rows, Redshift transparently organizes data by columns; it converts the data into columnar storage for each of the columns. Let's look at what this means.

In a traditional database, data for each record is stored as rows. The columns represent the...