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 OLTP and OLAP

OLTP and OLAP are relatively new, but important, fields. They involve the financial transactions performed over a network, such as shopping or banking transactions. To be clear, these are a kind of automated observation and often include a pipeline such as ETL or ELT, but are considered their own categories because financial data is protected. Some guidelines must be followed for OLTP and OLAP that are not required for other types of data. Specific guidelines on protected data will be covered later in this book.

OLTP

OLTP is the act of automatically storing and processing data from online transactions. To be clear, that means that every time you purchase something online, the record is automatically collected, stored, and processed through OLTP. More often than not, this process uses a snowflake schema, as discussed in Chapter 2, Data Structures, Types, and Formats. There are specific safeguards involved with OLTP, such as making sure that if some...