Overview

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

Full Product Details

Author:   Akhil Behl ,  Siva Subramanian
Publisher:   Pearson Education (US)
Imprint:   Pearson IT Certification
Dimensions:   Width: 15.30cm , Height: 3.00cm , Length: 22.90cm
Weight:   0.739kg
ISBN:  

9780137637294

ISBN 10:   0137637292
Pages:   528
Publication Date:   30 March 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Mixed media product
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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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Author Information

Akhil Behl is a passionate technologist and business development practitioner. He has more than 20 years of experience in the IT industry, working across several leadership, advisory, consultancy, and business development profiles across OEMs, telcos, and SI organizations. Akhil believes in cultivating an entrepreneurial culture, working across high-performance teams, identifying emerging technology trends, and ongoing innovation. For the last 7+ years, he has been working extensively with hyperscalers across industry verticals. He is employed at Red Hat, leading the Global System Integrator (GSI) partner alliances for the ANZ region. Akhil is a published author. Over the past decade, he has authored multiple titles on security and business communication technologies. This is his fifth book with Pearson Education. He has contributed as technical editor for over a dozen books on security, networking, and information technology. He has published several research papers in national and international journals, including IEEE Xplore, and presented at various IEEE conferences, as well as other prominent ICT, security, and telecom events. Writing and mentoring are his passions. Akhil holds CCIE 19564 Emeritus (Collaboration and Security), CompTIA Data+, Azure Solutions Architect Expert, Google Professional Cloud Architect, Azure AI Certified Associate, Azure Data Fundamentals, CCSK, CHFI, ITIL, VCP, TOGAF, CEH, ISM, CCDP, and multiple other industry certifications. He has a bachelor's degree in technology and a master's in business administration. Akhil lives in Melbourne, Australia, with his better half, Kanika, and two sons, Shivansh (11 years) and Shaurya (9 years). Both of them are passionate gamers and are excellent musicians, sporting guitar and keyboard, respectively. In his spare time, Akhil likes to play cricket, chess, and console games with his sons, watch movies with his family, and write articles or blogs. The family enjoys building LEGO! The family are big Star Wars fans and have keen interest in Star Wars as well as Technic and Creator LEGOs. Dr. Siva Ganapathy Subramanian Manoharan is a senior professional with more than 18+ years of expertise in the data, analytics, artificial intelligence, and machine learning arenas, spanning a wide range of data portfolios. He heads the Data & Analytics Business Unit for Searce Inc in his current role as global chief data officer. He is a cloud data and platform architect with a background in data engineering, management, and analytics. He has considerable experience in a variety of enterprises across sectors. He is an ambitious leader with a startup-to-scale growth mindset who has built/launched new practices and strategic business units for several corporations and scaled them to huge growth. Siva specializes in the sales, strategic solutions, P&L consulting, pre-sales, delivery of information management advisory, data architecture, and implementation services in the various industry verticals. He has extensive experience serving more than 200 customers globally, with a travel history of more than 25 countries. Over the past 8+ years, he has been living in the United Kingdom. Siva leads a technology-focused group of individuals and motivates them for professional certifications and knowledge sharing. He has himself attained more than 81 IT certifications. Siva mentors and guides IT professionals and youth across the globe in their journey for a successful future in information technology focused on data analytics and artificial intelligence. Siva is a technology-integrated author. He has several IT blog posts and book publications to his credit on data and analytics, artificial intelligence, and machine learning technologies. He has contributed as a technical editor for multiple blogs and whitepapers and hosted many events on data and analytics and information technology. Siva was awarded the International Achievers award in 2022 by IAF India, the Leader of Excellence award in 2022 by BIZEMAG, and the Most Admired Global Indians 2022 with Passion Vista. He completed a bachelor's degree in electronics communication engineering from the University of Madras, an international MBA from Russian Ulyanovsk State University, a Ph.D. from the University of Swahili, and a D.Sc. from Azteca University. Siva lives in London with Gaurave SGS (10 years) and Thejashvini SGS (5 years). Both of them are innovative artists, passionate gamers, and excellent creators. In his leisure time, Siva likes to watch movies, travel to new locations, play with Gaurave and Thejashvini, and write whitepapers, articles, and blogs.

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