CompTIA Data+ DA0-001 Exam Cram, Behl, Akhil,Subramanian, Siva

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Good condition paperback. Pages are clean and unmarked. Minor edgewear and rubbing. Sealed access ...
Book Title
CompTIA Data+ DA0-001 Exam Cram
ISBN
9780137637294
Category

About this product

Product Identifiers

Publisher
Cisco Press
ISBN-10
0137637292
ISBN-13
9780137637294
eBay Product ID (ePID)
28057244998

Product Key Features

Number of Pages
528 Pages
Language
English
Publication Name
Comptia Data+ Da0-001 Exam Cram
Publication Year
2023
Subject
General, Certification Guides / A+, Databases / Data Mining
Type
Textbook
Subject Area
Mathematics, Computers
Author
Akhil Behl, Siva Subramanian
Format
Trade Paperback / Mixed Lot

Dimensions

Item Height
1.1 in
Item Weight
25.7 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2022-916122
Dewey Edition
23/eng/20230411
Illustrated
Yes
Dewey Decimal
004.076
Table Of Content
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
Synopsis
CompTIA (R) 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, 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
LC Classification Number
QA76

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