CompTIA Data+ DA0-001 Exam Cram

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.

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