CompTIA Data+ DA0-001 Exam Cram

Description

CompTIA® Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams.

Covers the critical information needed to score higher on your Data+ DA0-001 exam!

• Understand data concepts, environments, mining, analysis, visualization, governance, quality, and controls
• Work with databases, data warehouses, database schemas, dimensions, data types, structures, and file formats
• Acquire data and understand how it can be monetized
• Clean and profile data so it;s more accurate, consistent, and useful
• Review essential techniques for manipulating and querying data
• Explore essential tools and techniques of modern data analytics
• Understand both descriptive and inferential statistical methods
• Get started with data visualization, reporting, and dashboards
• Leverage charts, graphs, and reports for data-driven decision-making
• Learn important data governance concepts

Premium Edition

The CompTIA Data+ DA0-001 Exam Cram, Premium Edition eBook and Practice Test is a digital-only certification preparation product combining an eBook with an enhanced Pearson IT Certification Practice Test. The Premium Edition eBook and Practice Test contains the following items:

• The CompTIA Data+ DA0-001 Exam Cram Premium Edition Practice Test, including four full practice exams and enhanced practice test features
• PDF and EPUB formats of the CompTIA Data+ DA0-001 Exam Cram from Pearson IT Certification, accessible via your PC, tablet, and smartphone

About the Premium Edition Practice Test

This Premium Edition contains an enhanced version of the Pearson IT Certification Practice Test (PCPT) software with four full practice exams. This integrated learning package:

• Allows you to focus on individual topic areas or take complete, timed exams
• Includes direct links from each question to detailed explanations to help you understand the concepts behind the questions
• Provides unique sets of exam-realistic practice questions
• Tracks your performance and provides feedback on a module-by-module basis, laying out a complete assessment of your knowledge to help you focus your study where it is needed most

Pearson IT Certification Practice Test minimum system requirements:

Pearson Test Prep online system requirements:

Browsers: Chrome version 73 and above, Safari version 12 and above, Microsoft Edge 44 and above.

Devices: Desktop and laptop computers, tablets running Android v8.0 and above or iPadOS v13 and above, smartphones running Android v8.0 and above or iOS v13 and above with a minimum screen size of 4.7.

Internet access required.

Pearson Test Prep offline system requirements:

Windows 10, Windows 8.1; Microsoft .NET Framework 4.5 Client; Pentium-class 1 GHz processor (or equivalent); 512 MB RAM; 650 MB disk space plus 50 MB for each downloaded practice exam; access to the Internet to register and download exam databases

About the Premium Edition eBook

CompTIA Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the new CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams.

CompTIA Data+ DA0-001 Exam Cram, Premium Edition eBook and Practice Test covers the critical information needed to score higher on your Data+ DA0-001 exam!

• Understand data concepts, environments, mining, analysis, visualization, governance, quality, and controls
• Work with databases, data warehouses, database schemas, dimensions, data types, structures, and file formats
• Acquire data and understand how it can be monetized
• Clean and profile data so it's more accurate, consistent, and useful
• Review essential techniques for manipulating and querying data
• Explore essential tools and techniques of modern data analytics
• Understand both descriptive and inferential statistical methods
• Get started with data visualization, reporting, and dashboards
• Leverage charts, graphs, and reports for data-driven decision-making
• Learn important data governance concepts

Sample Content

Online Sample Chapter

Understanding Common Techniques for Data Query Optimization and Testing

Table of Contents

Introduction. . . . . . xx

CHAPTER 1: Understanding Databases and Data Warehouses. . . 1

Databases and Database Management Systems.. . . 2

Data Warehouses and Data Lakes.. . . . 15

OLTP and OLAP.. . . . . 24

What Next?.. . . . . . 30

CHAPTER 2: Understanding Database Schemas and Dimensions.. . 31

Schema Concepts.. . . . . 32

Star and Snowflake Schemas. . . . 37

Slowly Changing Dimensions, Keeping Historical Information, and Keeping Current Information.  . 45

What Next?.. . . . . . 51

CHAPTER 3: Data Types and Types of Data. . . . . 53

Introduction to Data Types. . . . 54

Comparing and Contrasting Different Data Types. . 60

Categorical vs. Dimension and Discrete vs. Continuous Data Types. 67

Types of Data: Audio, Video, and Images.. . . 72

What Next?.. . . . . . 86

CHAPTER 4: Understanding Common Data Structures and File Formats.. . 87

Structured vs. Unstructured Data.. . . . 88

Data File Formats.. . . . . 98

What Next?.. . . . . . 110

CHAPTER 5: Understanding Data Acquisition and Monetization. . . 111

Integration. . . . . . 112

Data Collection Methods.. . . . . 126

What Next?.. . . . . . 135

CHAPTER 6: Cleansing and Profiling Data. . . . . 137

Profiling and Cleansing Basics.. . . . 138

What Next?.. . . . . . 151

CHAPTER 7: Understanding and Executing Data Manipulation. . . 153

Data Manipulation Techniques.. . . . 154

What Next?.. . . . . . 182

CHAPTER 8: Understanding Common Techniques for Data Query Optimization and Testing... . 183

Query Optimization.. . . . . 184

What Next?.. . . . . . 206

CHAPTER 9: The (Un)Common Data Analytics Tools.. . . . 207

Data Analytics Tools.. . . . . 208

What Next?.. . . . . . 224

CHAPTER 10: Understanding Descriptive and Inferential Statistical Methods.. . 225

Introduction to Descriptive and Inferential Analysis. . 226

Inferential Statistical Methods.. . . . 238

What Next?.. . . . . . 253

CHAPTER 11: Exploring Data Analysis and Key Analysis Techniques.. . 255

Process to Determine Type of Analysis. . . 256

Types of Analysis. . . . . 265

What Next?.. . . . . . 278

CHAPTER 12: Approaching Data Visualization.. . . . 279

Business Reports. . . . . 280

What Next?.. . . . . . 297

CHAPTER 13: Exploring the Different Types of Reports and Dashboards.. . 299

Report Cover Page and Design Elements. . . 300

Documentation Elements. . . . . 316

Dashboard Considerations, Development, and Delivery Process.. 321

What Next?.. . . . . . 337

CHAPTER 14: Data-Driven Decision Making: Leveraging Charts, Graphs, and Reports. . . 339

Types of Data Visualizations.. . . . 340

Reports.. . . . . . 358

What Next?.. . . . . . 366

CHAPTER 15: Data Governance Concepts: Ensuring a Baseline. . . 367

Access and Security Requirements. . . . 370

Storage Environment Requirements.. . . . 383

Use and Entity Relationship Requirements. . . 388

Data Classification, Jurisdiction Requirements, and

Data Breach Reporting.. . . . . 399

What Next?.. . . . . . 410

CHAPTER 16: Applying Data Quality Control. . . . . 411

Data Quality Dimensions and Circumstances to Check for Quality.. 412

Data Quality Rules and Metrics, Methods to Validate Quality, and

Automated Validation.. . . . . 424

What Next?.. . . . . . 439

CHAPTER 17: Understanding Master Data Management (MDM) Concepts.. . 441

Processes.. . . . . . 442

Circumstances for MDM.. . . . . 454

What Next?.. . . . . . 458

CHAPTER 18: Getting Ready for the CompTIA Data+ Exam.. . . 459

Getting Ready for the CompTIA Data+ Exam.. . . 459

Tips for Taking the Real Exam.. . . . 461

Beyond the CompTIA Data+ Certification. . . 465

9780137637294, TOC, 11/17/2022

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