Book Image

CompTIA Data+: DAO-001 Certification Guide

By : Cameron Dodd
Book Image

CompTIA Data+: DAO-001 Certification Guide

By: Cameron Dodd

Overview of this book

The CompTIA Data+ certification exam not only helps validate a skill set required to enter one of the fastest-growing fields in the world, but also is starting to standardize the language and concepts within the field. However, there’s a lot of conflicting information and a lack of existing resources about the topics covered in this exam, and even professionals working in data analytics may need a study guide to help them pass on their first attempt. The CompTIA Data + (DAO-001) Certification Guide will give you a solid understanding of how to prepare, analyze, and report data for better insights. You’ll get an introduction to Data+ certification exam format to begin with, and then quickly dive into preparing data. You'll learn about collecting, cleaning, and processing data along with data wrangling and manipulation. As you progress, you’ll cover data analysis topics such as types of analysis, common techniques, hypothesis techniques, and statistical analysis, before tackling data reporting, common visualizations, and data governance. All the knowledge you've gained throughout the book will be tested with the mock tests that appear in the final chapters. By the end of this book, you’ll be ready to pass the Data+ exam with confidence and take the next step in your career.
Table of Contents (24 chapters)
1
Part 1: Preparing Data
7
Part 2: Analyzing Data
13
Part 3: Reporting Data
19
Part 4: Mock Exams

Understanding the concept of warehouses and lakes

Not all databases are used for the same purpose—they often become specialized based on how they are used. Each specialized database has a specific name, is used for different things, has different kinds of data, and is used by different people. A few of these specialized databases include:

  • Data warehouses
  • Data marts
  • Data lakes

There are more, but these are some common types of database archetypes that you are likely to encounter. More to the point, these are the ones that will be covered in the exam.

Data warehouses

Data warehouses are most often used for structured relational tables. Usually, they hold large amounts of processed transactional data. Data warehouses are often more complicated and are used by data engineers or database administrators. Because these store large amounts of data and efficiency is more important, they are more likely to follow a snowflake schema.

Data marts

Data marts...