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Subscribe to PebbleU for unlimited access to hundreds of books and videos within one of five career-focused packages: Data Architecture and Modeling, Business Analysis and Data Governance, Data Science and Analytics, CDO & Data Evangelist, and DBA & Developer. Enhance your learning experience through certifications, quizzes, discussion forums, and powerful e-reading functionality (highlighting, notes, read-aloud, along with custom fonts, colors, and sizes). Access through the Web or via the PebbleU Apple and Android apps.

Packages

Data Architecture & Modeling

Business Analysis & Data Governance

Data Science & Analytics

CDO & Data Evangelist

DBA & Developer

The Full Package

Includes all books and videos (over 500)

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Data Architecture & Modeling

Recently added:

  • Gardens of Intelligence
  • The Enrichment Game
  • The Unified Star Schema

Books and videos included with this package:

  1. A Database Professional’s Guide to Normal Forms
  2. Ability Series
  3. About Blockchain (Recorded Live at Data Modeling Zone US)
  4. Achieving Buzzword Compliance
  5. Agile for Data Professionals
  6. Amazon Relational Database Service (RDS) Made Simple
  7. Amazon Web Services (AWS) Databases (RDS, Aurora, RedShift, and DynamoDB) Made Simple
  8. An Overview of NoSQL Databases
  9. Blockchain and Data Modeling
  10. Blockchain Explanation, Usage, and Impact
  11. Blockchain Overview (Recorded live at Data Modeling Zone)
  12. Blockchainopoly
  13. Business unIntelligence
  14. Cassandra Fundamentals
  15. Cassandra Made Simple
  16. Choosing a Data Platform in a World of NoSQL, Hadoop, and Cloud Computing
  17. Clarifying Complexity
  18. CockroachDB Made Simple
  19. Connecting the Data
  20. CouchDB Made Simple
  21. Cryptography and Blockchain
  22. DAMA-DMBOK: Data Management Body of Knowledge (DMBOK2)
  23. Data and Processes Resource Management: A Foundation
  24. Data and Processes Resource Management: Architecture and Models Module
  25. Data and Processes Resource Management: Business Niche Module
  26. Data and Processes Resource Management: Business Niche Observation Module
  27. Data and Processes Resource Management: Interrogatives and Frameworks
  28. Data and Processes Resource Management: Problems and Needs
  29. Data and Processes Resource Management: Resource and Business Cycles Module
  30. Data and Reality
  31. Data Engineering: A Novel Approach to Data Design
  32. Data Lake Architecture
  33. Data Model Scorecard
  34. Data Model Storytelling
  35. Data Modeling Certification Overview
  36. Data Modeling for MongoDB
  37. Data Modeling for Quality
  38. Data Modeling for the Business
  39. Data Modeling Made Simple
  40. Data Modeling Made Simple with ER/Studio Data Architect
  41. Data Modeling Made Simple with erwin Data Modeler
  42. Data Modeling Made Simple with PowerDesigner
  43. Data Modeling Overview for Managers
  44. Data Modeling Theory and Practice
  45. Data Resource Data
  46. Data Resource Design
  47. Data Resource Guide
  48. Data Resource Integration
  49. Data Resource Simplexity
  50. Data Resource Understanding
  51. Data Structure Graph
  52. Data Structure Graph Hands-On Workshop
  53. Data Structures Theory and Practice
  54. Data Vault Basics
  55. Data Warehouse 2.0
  56. Data Warehouse Implementation with the Corporate Information Factory (CIF)
  57. Data Warehousing
  58. Database Basics
  59. Database Design
  60. Distributed Database (DDBMS) Made Simple
  61. DIY Corporate Data Model: Develop your own corporate data model framework in 3 hours, using patterns
  62. E. F. Codd and Relational Theory, Revised Edition
  63. Effective Communication in the Workplace
  64. ElasticSearch Made Simple
  65. Eleven Functional Areas in Search of a Narrative
  66. Enterprise Model Patterns: Describing the World (UML Version)
  67. Extreme Scoping
  68. Fact Oriented Modeling with FCO-IM
  69. Fifty Years of Relational, and Other Database Writings
  70. Flow Triggers: A Practical Guide to Maximizing Flow in Everyday Life
  71. Flow-based Leadership
  72. Gardens of Intelligence
  73. Graph Data Modeling for NoSQL and SQL
  74. Graph Database Fundamentals
  75. Harness the Power of the Rosedata Stone with the Business Terms Model
  76. How to Effectively Present Your Data Model
  77. Hybrid Data Vault 2.0 Case Study: Data Warehousing in the Real World
  78. IDMA 201 Course Textbook and Study Guide
  79. Integrating Hadoop
  80. JSON (JavaScript Object Notation) Structure and Design
  81. Leveraging the Data Management Body of Knowledge (DMBOK) to improve modeling outcomes
  82. Logic and Relational Theory
  83. Many Cultures, One Team
  84. MariaDB and SQL Server Fundamentals
  85. MariaDB and SQL Server Hands-on
  86. Metadata Management
  87. Microsoft Access (MS Access) Made Simple
  88. Modeling of Reference Schemes
  89. MongoDB Made Simple
  90. MongoDB Primer
  91. Multi-model Databases
  92. My Life as a Writer
  93. Navigating the Labyrinth
  94. NoSQL and SQL Data Modeling
  95. NoSQL Complete (Using MongoDB as an example)
  96. NoSQL Data Modeling using an Agile Approach
  97. NoSQL Overview and Use Cases (Recorded live at Steve Hoberman’s Data Modeling Master Class)
  98. Object-Role Modeling Fundamentals
  99. Object-Role Modeling Workbook
  100. Oldies but Goodies: C.J. Date and Relational Theory
  101. Ontology Primer
  102. PostgreSQL Made Simple
  103. Redis Made Simple
  104. RethinkDB Made Simple
  105. Solr Made Simple
  106. SQL Made Simple
  107. Stating the Obvious, and Other Database Writings
  108. Taxonomies and Ontologies
  109. Telling Your Data Management Story with the 3Vs : Vocabulary, Voice and Vision
  110. The Analytical Puzzle
  111. The DAMA Dictionary of Data Management
  112. The Data Lake in a Modern Data Architecture
  113. The Definitive Guide to MySQL and MariaDB
  114. The Definitive Guide to Redis
  115. The Elephant in the Fridge
  116. The Enrichment Game
  117. The Nimble Elephant
  118. The Principle of Cautious Design (POCD)
  119. The Rosedata Stone: Achieving a Common Business Language using the Business Terms Models
  120. The Unified Star Schema
  121. The Unified Star Schema Approach to Data Warehouse and Data Vault Design
  122. The Unified Star Schema Approach to Data Warehouse Design
  123. Thinking in Documents
  124. Turning Text into Gold: Taxonomies and Textual Analytics
  125. UML and Data Modeling: A Reconciliation
  126. UML Database Modeling Workbook
  127. Unstructured Data

Business Analysis & Data Governance

Recently added:

  • Business Understanding and Agility
  • The Enrichment Game
  • Telling Your Data Story

Books and videos included with this package:

  1. A Foundation For All Things Process
  2. Ability Series
  3. Achieving Buzzword Compliance
  4. After Action Review: Continuous Improvement Made Easy
  5. Agile and Data: From Rhetoric to Reality
  6. Agile and Scrum for Stakeholders
  7. Agile for Data Professionals
  8. Agile Project Planning with Scrum
  9. Agile Series: Scrum Master Toolkit
  10. Agile Software Development Essentials
  11. Agile Software Development with Scrum
  12. Analytics with Microsoft Excel
  13. API Success: The Journey to Digital Transformation
  14. Artificial Intelligence Fundamentals
  15. Authentication and Integrity Tools
  16. Big Data
  17. Blockchain and Hashgraph Cyber Security Technologies
  18. Blockchain Overview (Recorded live at Data Modeling Zone)
  19. Blockchainopoly
  20. Building the Agile Database
  21. Business Analytics Fundamentals
  22. Business Understanding and Agility
  23. Certified Ethical Hacker (CEH) Certification Primer and Ethical Hacking Techniques Complete Guide
  24. Certified Information Systems Security Professional (CISSP) Certification Preparation Course
  25. Computer Science Retrospective
  26. Confidentiality Tools for Data Professionals
  27. Continuous Innovation
  28. Controlling the Chaos
  29. Customer Relationship Management (CRM) using Close (close.com)
  30. DAMA-DMBOK: Data Management Body of Knowledge (DMBOK2)
  31. Data and Reality
  32. Data Diplomacy
  33. Data Engineering: A Novel Approach to Data Design
  34. Data for Business Performance
  35. Data Governance: Perspectives and Practices
  36. Data Modeling for the Business
  37. Data Quality Assessment
  38. Data Resource Simplexity
  39. Data Science Fundamentals
  40. Data Scientist
  41. Data Strategy and the Enterprise Data Executive
  42. Demystifying Data Governance and Why it Still Matters
  43. Disrupting Data Governance: A Call to Action
  44. Effective Communication in the Workplace
  45. Eleven Functional Areas in Search of a Narrative
  46. Emily’s Rebellion
  47. Enterprise Architecture Made Simple
  48. Ethics in Data Science
  49. Facilitation
  50. Facilitator’s and Trainer’s Toolkit
  51. Flow Triggers: A Practical Guide to Maximizing Flow in Everyday Life
  52. Flow-based Leadership
  53. Foundation of Computer Languages
  54. FruITion Trilogy plus Locomotion
  55. Getting in Front on Data
  56. Google Analytics (GA) Made Simple
  57. Google Data Studio Hands-on
  58. Harness the Power of the Rosedata Stone with the Business Terms Model
  59. Hearing the Voice of the Customer
  60. How to Disrupt Data Governance
  61. How to Measure Data Quality
  62. How Work Gets Done
  63. IDMA 201 Course Textbook and Study Guide
  64. Improving Workforce Data Literacy
  65. Information Management Maturity
  66. Integrating Balsamiq with InVision App
  67. ITIL Foundation Certification Primer
  68. Kanban Essentials
  69. Leading Virtual/Global Teams: How to be an Effective Leader
  70. Leveraging the Data Management Body of Knowledge (DMBOK) to improve modeling outcomes
  71. Managing Agile Projects with Jira
  72. Many Cultures, One Team
  73. Metadata Management
  74. Minimal Data Governance for Maximum Business Results
  75. Monetizing Data Management
  76. Navigating the Labyrinth
  77. Non-Invasive Data Governance
  78. NoSQL Data Modeling using an Agile Approach
  79. Ontology Primer
  80. Principle Based Enterprise Architecture
  81. Principles of Programming
  82. Programming Basics
  83. Quantitative Analysis for System Applications
  84. Scrum Product Owner Toolkit
  85. Sherlock Holmes Data Sleuthing Empowered by the Data Catalog
  86. Statistics Fundamentals
  87. Supply Chain Management Essentials
  88. System Basics
  89. Tableau Advanced Techniques
  90. Taxonomies and Ontologies
  91. Telling Your Data Management Story with the 3Vs : Vocabulary, Voice and Vision
  92. Telling Your Data Story
  93. The 4cs of Effective Data Cataloging and Business Glossaries
  94. The Analytical Puzzle
  95. The DAMA Dictionary of Data Management
  96. The Data Catalog
  97. The Definitive Guide on Using Balsamiq for Prototypes, Wireframes, and Mockups
  98. The Definitive Guide on Using InVision Cloud for Prototypes, Wireframes, and Mockups
  99. The Dynamic Trio: Strategy + Architecture + Portfolio Management
  100. The Enrichment Game
  101. The Future of Data is (Not) Viral
  102. The Hidden Corporation
  103. The New Oil
  104. The Rosedata Stone: Achieving a Common Business Language using the Business Terms Models
  105. Thinking in Documents
  106. Turning Text into Gold: Taxonomies and Textual Analytics
  107. UML Requirements Modeling For Business Analysts
  108. Visual Basic for Applications (VBA) for Microsoft Excel (Advanced Techniques)
  109. Visual Basic for Applications (VBA) for Microsoft Excel (Beyond the Basics)

Data Science & Analytics

Recently added:

  • Gardens of Intelligence
  • The Textual Warehouse
  • The Unified Star Schema

Books and videos included with this package:

  1. A/B Testing for Data Science
  2. Ability Series
  3. Advanced Data Acquisition using Python Scrapy, Selenium, and MySQL
  4. Advanced Neural Networks Beyond the Basics
  5. Advanced Neural Networks Essentials
  6. AI for Data Science
  7. An Overview of NoSQL Databases
  8. Analytics Best Practices
  9. Analytics with Microsoft Excel
  10. Analytics: How to Win with Intelligence
  11. Anomaly Detection for Data Science
  12. APIs for Data Science
  13. Artificial Intelligence (AI) Programming with Lisp
  14. Artificial Intelligence (AI) Safety
  15. Artificial Intelligence Fundamentals
  16. Backing Up and Wiping Out Sensitive Data
  17. Bayes Theorem Essentials
  18. Bayesian Statistics for Data Science
  19. Bayesian Statistics Fundamentals
  20. Big Data
  21. Blockchain and Hashgraph Cyber Security Technologies
  22. Bugs and Mistakes in Data Science
  23. Building the Unstructured Data Warehouse
  24. Building Web Crawlers for Data Acquisition with Python Scrapy
  25. Business Analytics Fundamentals
  26. Business unIntelligence
  27. Closed Form Solution of Linear Regression and Locally Weighted Regressions (LOWESS) using Python
  28. Complex Systems: Understanding the Game of Life Model
  29. Computational Mathematical Models and Methods in MATLAB
  30. Connecting the Data
  31. Convolutional Neural Networks (CNNs) Advanced Techniques
  32. Convolutional Neural Networks (CNNs) Architectures for Large Datasets
  33. Convolutional Neural Networks (CNNs) Essentials
  34. Convolutional Neural Networks (CNNs) Hands-on
  35. Crossing the Unstructured Barrier
  36. DAMA-DMBOK: Data Management Body of Knowledge (DMBOK2)
  37. Data Analytics with R
  38. Data Analytics with R Shiny
  39. Data Lake Architecture
  40. Data Mining with SPSS
  41. Data Science and Artificial Intelligence (AI)
  42. Data Science Ensembles
  43. Data Science Fundamentals
  44. Data Science Modeling Tutorial
  45. Data Science Questions and Hypotheses
  46. Data Science with R Master Class
  47. Data Science: Mindset, Methodologies, and Misconceptions
  48. Data Scientist
  49. Data Scientist Bedside Manner
  50. Data Vault Basics
  51. Data Visualization and Data Generation using Python and Matplotlib
  52. Data Visualization for Data Science
  53. Data Visualization Fundamentals
  54. Data Visualization with Tableau
  55. Data Warehouse 2.0
  56. Data Warehouse Implementation with the Corporate Information Factory (CIF)
  57. Data Warehousing
  58. Database Frameworks in Data Science
  59. Deep Learning Fundamentals
  60. Deep Learning: Facts, Frameworks, and Functionality
  61. Dimensionality Reduction (DR)
  62. Do’s and Do Not’s of AI in Data Science
  63. Effective Communication in the Workplace
  64. Ethics in Data Science
  65. Exploratory Data Analysis (EDA) Using R
  66. Extreme Learning Machines (ELMs) within Artificial Intelligence (AI)
  67. Extreme Scoping
  68. Facial Detection and Recognition using OpenCV (BONUS: Create your own Snapchat Filter!)
  69. Feature Evaluation for Data Science
  70. File Handling in Python
  71. Flow Triggers: A Practical Guide to Maximizing Flow in Everyday Life
  72. Flow-based Leadership
  73. Gardens of Intelligence
  74. Google Analytics (GA) Made Simple
  75. Google Data Studio Hands-on
  76. Graph Analytics for Data Science
  77. Growing Business Intelligence
  78. Heuristics in Data Science
  79. Hidden Markov Models (HMMs) Advanced Techniques
  80. Hidden Markov Models (HMMs) Essentials
  81. How AI Facilitates Data Science Work
  82. Hybrid Data Vault 2.0 Case Study: Data Warehousing in the Real World
  83. Improving Machine Learning with Continuous Learning Models
  84. Introduction to Linked Data and the Semantic Web
  85. Iteration in Python
  86. Julia for Data Science
  87. Julia for Data Science, Revisited
  88. Julia for Machine Learning
  89. K-Means Clustering in Python
  90. Linear Algebra Advanced Techniques
  91. Linear Algebra Essentials
  92. Linear Regression with Python
  93. Lisp Made Simple
  94. Machine Learning and Data Science
  95. Machine Learning for Data Science
  96. Machine Learning Using Python
  97. Machine Learning with R: K Nearest Neighbor (KNN), Linear Regression, and Text Mining
  98. Managing Large Datasets using Convolutional Neural Networks (CNNs)
  99. Manipulating Matrices using NumPy
  100. Many Cultures, One Team
  101. Markov Chains Advanced Techniques
  102. Markov Chains Essentials
  103. MATLAB Fundamentals
  104. MATLAB Installation and Hands-on
  105. MATLAB Looping Constructs Advanced Techniques
  106. MATLAB Looping Constructs Essentials
  107. MATLAB Matrices
  108. MATLAB Operators and Arrays
  109. Metric Learning Made Simple
  110. Multivariate Linear Regression (Multiple-Linear Regression) Advanced Techniques
  111. Multivariate Linear Regression (Multiple-Linear Regression) Essentials
  112. Naive Bayes Classifier Advanced Techniques
  113. Naive Bayes Classifier Essentials
  114. Natural Language Processing (NLP) Using Python
  115. Natural-Language Processing (NLP) Fundamentals
  116. Navigating the Labyrinth
  117. Object Oriented Programming in Python
  118. Ontology Primer
  119. Power BI: Beyond the Basics
  120. Principal Component Analysis (PCA) In-depth
  121. Probability Distribution, Statistics, and Data Analysis using Pandas (Advanced)
  122. Probability Distribution, Statistics, and Data Analysis using Pandas (Fundamentals)
  123. Programming Languages for Data Science
  124. Python in 60 Minutes!
  125. Quantifiably Better
  126. Quantitative Analysis for System Applications
  127. R Shiny: More Advanced Functionality
  128. Randomness, Uncertainty, Complex Systems, and their Applications
  129. Recurrent Neural Network (RNN) Advanced Techniques
  130. Recurrent Neural Network (RNN) Essentials
  131. Relational Algebra and Relational Calculus (Concepts and Practice using MariaDB)
  132. Sampling Methods for Data Science
  133. SAS Essentials for Statistics
  134. Scikit-learn Essentials: Mastering the Scikit-learn Machine Learning Library for Python
  135. Secrets of Analytical Leaders: Insights from Information Insiders
  136. Sentiment Analysis for NLP and Data Science Practitioners
  137. Stata Advanced
  138. Stata Essentials
  139. Statistics for Data Science
  140. Statistics Fundamentals
  141. Tableau Advanced Techniques
  142. Taxonomies and Ontologies
  143. Text Mining Fundamentals
  144. Textual Analytics
  145. Textual Analytics: A Primer by Bill Inmon
  146. Textual Disambiguation
  147. The Analytical Puzzle
  148. The Bias-Variance Trade-off in Data Science
  149. The Business Aspect of Artificial Intelligence (AI) in Data Science
  150. The DAMA Dictionary of Data Management
  151. The Decision Tree Algorithm in Python
  152. The Definitive Guide to Python Seaborn
  153. The Definitive Guide to Python Statsmodels
  154. The Julian way of Programming and how it Applies to Data Science
  155. The Logistic Regression Algorithm in Python
  156. The Support Vector Machine (SVM) in Python
  157. The Textual Warehouse
  158. The Thunderstorm Encryption System
  159. The Unified Star Schema
  160. The Unified Star Schema Approach to Data Warehouse and Data Vault Design
  161. The Unified Star Schema Approach to Data Warehouse Design
  162. The XGBoost Algorithm in Python
  163. Thinking Like a Data Scientist
  164. Time Series Analysis
  165. Transfer Learning Advanced Techniques
  166. Transfer Learning Essentials
  167. Turning Spreadsheets into Corporate Data
  168. Turning Text into Gold: Taxonomies and Textual Analytics
  169. Unbalanced Sequential Data in Machine Learning
  170. Unstructured Data
  171. Visual Basic for Applications (VBA) for Microsoft Excel
  172. Visual Basic for Applications (VBA) for Microsoft Excel (Advanced Techniques)
  173. Visual Basic for Applications (VBA) for Microsoft Excel (Beyond the Basics)
  174. Web Scraping Using Python
  175. Word2Vec Model Essentials
  176. Zoho Analytics

CDO & Data Evangelist

Recently added:

  • Beyond Digital Transformation
  • Business Understanding and Agility
  • Data Engineering: A Novel Approach to Data Design

Books and videos included with this package:

  1. Ability Series
  2. About Blockchain (Recorded Live at Data Modeling Zone US)
  3. Achieving Buzzword Compliance
  4. After Action Review: Continuous Improvement Made Easy
  5. Agile and Data: From Rhetoric to Reality
  6. Agile and Scrum for Stakeholders
  7. Agile for Data Professionals
  8. Agile Project Planning with Scrum
  9. Agile Series: Scrum Master Toolkit
  10. Agile Software Development Essentials
  11. Agile Software Development with Scrum
  12. Amazon Web Services (AWS) Fundamentals
  13. API Success: The Journey to Digital Transformation
  14. Bayes Theorem Essentials
  15. Beyond Digital Transformation
  16. Big Data
  17. Blockchain Explanation, Usage, and Impact
  18. Blockchain Overview (Recorded live at Data Modeling Zone)
  19. Blockchainopoly
  20. Business Understanding and Agility
  21. Business unIntelligence
  22. Capturing the Organization Organism
  23. Certified Ethical Hacker (CEH) Certification Primer and Ethical Hacking Techniques Complete Guide
  24. Certified Information Systems Security Professional (CISSP) Certification Preparation Course
  25. Choosing a Data Platform in a World of NoSQL, Hadoop, and Cloud Computing
  26. Confidentiality Tools for Data Professionals
  27. Connecting the Data
  28. Continuous Innovation
  29. Controlling the Chaos
  30. DAMA-DMBOK: Data Management Body of Knowledge (DMBOK2)
  31. Data and Processes Resource Management: A Foundation
  32. Data and Processes Resource Management: Architecture and Models Module
  33. Data and Processes Resource Management: Business Niche Module
  34. Data and Processes Resource Management: Business Niche Observation Module
  35. Data and Processes Resource Management: Interrogatives and Frameworks
  36. Data and Processes Resource Management: Problems and Needs
  37. Data and Processes Resource Management: Resource and Business Cycles Module
  38. Data and Reality
  39. Data Diplomacy
  40. Data Engineering: A Novel Approach to Data Design
  41. Data for Business Performance
  42. Data Modeling Overview for Managers
  43. Data Quality Assessment
  44. Data Resource Data
  45. Data Resource Design
  46. Data Resource Guide
  47. Data Resource Integration
  48. Data Resource Simplexity
  49. Data Resource Understanding
  50. Data Science Fundamentals
  51. Data Strategy and the Enterprise Data Executive
  52. Data-Centric — The Revolution will not be Televised
  53. Effective Communication in the Workplace
  54. Eleven Functional Areas in Search of a Narrative
  55. Emily’s Rebellion
  56. Enterprise Architecture Made Simple
  57. Enterprise Data Challenges
  58. Evolutionary Frameworks for Enterprise Data Valuation
  59. Facilitation
  60. Facilitator’s and Trainer’s Toolkit
  61. Flow Triggers: A Practical Guide to Maximizing Flow in Everyday Life
  62. Flow-based Leadership
  63. Four Steps to Data Architecture for Modern Analytics
  64. FruITion Trilogy plus Locomotion
  65. Gardens of Intelligence
  66. Getting in Front on Data
  67. Harness the Power of the Rosedata Stone with the Business Terms Model
  68. Hearing the Voice of the Customer
  69. How to Measure Data Quality
  70. How Work Gets Done
  71. Improving Workforce Data Literacy
  72. Information Management Maturity
  73. Kanban Essentials
  74. Leading Virtual/Global Teams: How to be an Effective Leader
  75. Leveraging the Data Management Body of Knowledge (DMBOK) to improve modeling outcomes
  76. Managing Agile Projects with Jira
  77. Many Cultures, One Team
  78. Metadata Management
  79. Monetizing Data Management
  80. Navigating the Labyrinth
  81. Ontology Primer
  82. Principle Based Enterprise Architecture
  83. Quantitative Analysis for System Applications
  84. Scrum Product Owner Toolkit
  85. Secrets of Analytical Leaders: Insights from Information Insiders
  86. Sherlock Holmes Data Sleuthing Empowered by the Data Catalog
  87. Software Wasteland
  88. System Basics
  89. Telling Your Data Management Story with the 3Vs : Vocabulary, Voice and Vision
  90. Telling Your Data Story
  91. The 4cs of Effective Data Cataloging and Business Glossaries
  92. The CDO Journey
  93. The DAMA Dictionary of Data Management
  94. The Data Catalog
  95. The Data Lake in a Modern Data Architecture
  96. The Data-Centric Revolution
  97. The Dynamic Trio: Strategy + Architecture + Portfolio Management
  98. The Emerging Role of the CDO in Government
  99. The Enrichment Game
  100. The Future of Data is (Not) Viral
  101. The Hidden Corporation
  102. The New Oil
  103. The Rosedata Stone: Achieving a Common Business Language using the Business Terms Models
  104. Thinking in Documents
  105. When Data can be an Asset, Limitation, or even a Liability for the Business

DBA & Developer

Recently added:

  • C++ Space Time Complexity Analysis
  • E. F. Codd and Relational Theory, Revised Edition
  • Software Wasteland

Books and videos included with this package:

  1. A Database Professional’s Guide to Normal Forms
  2. A Foundation in Kubernetes
  3. Ability Series
  4. Advanced Data Acquisition using Python Scrapy, Selenium, and MySQL
  5. Advanced Neural Networks Beyond the Basics
  6. Advanced Neural Networks Essentials
  7. Amazon Relational Database Service (RDS) Made Simple
  8. Amazon Web Services (AWS) Databases (RDS, Aurora, RedShift, and DynamoDB) Made Simple
  9. Amazon Web Services (AWS) Fundamentals
  10. An Overview of NoSQL Databases
  11. Apache Nifi Fundamentals
  12. Apache Nifi Hands-on
  13. Apache Spark Beyond the Basics
  14. Apache Spark Essentials
  15. Apache Spark Hands-on
  16. API Success: The Journey to Digital Transformation
  17. Artificial Intelligence (AI) Programming with Lisp
  18. ASP.NET Core Model-View-Controller (MVC) Made Simple
  19. Bayes Theorem Essentials
  20. Binary Tree Sum Replacement Challenge in C++
  21. Blockchain for Developers using Hyperledger Fabric
  22. Bottom Up Approach to Dynamic Programming in C++
  23. Building the Agile Database
  24. Building Web Crawlers for Data Acquisition with Python Scrapy
  25. C++ 1-D Arrays
  26. C++ 2-D Arrays
  27. C++ Binary Search Algorithm
  28. C++ Binary Search Trees Essentials
  29. C++ Binary Trees Advanced Techniques
  30. C++ Binary Trees Essentials
  31. C++ Dynamic Memory Allocation
  32. C++ Dynamic Programming Advanced Techniques
  33. C++ Dynamic Programming Fundamentals
  34. C++ Graphs Essentials
  35. C++ Heaps Advanced Techniques
  36. C++ Heaps Essentials
  37. C++ Height Balanced Binary Tree
  38. C++ Linked Lists Advanced Techniques
  39. C++ Linked Lists Essentials
  40. C++ Pointers
  41. C++ Queues
  42. C++ Recursion
  43. C++ Rotated Sorted Arrays
  44. C++ Sorting Algorithms
  45. C++ Space Time Complexity Analysis
  46. C++ Stacks Advanced Techniques
  47. C++ Stacks Essentials
  48. C++ String Tokenizers
  49. C++ Strings (Character Arrays)
  50. C++ Vector Standard Template Library (STL)
  51. Cassandra Fundamentals
  52. Cassandra Made Simple
  53. Chef Complete Guide
  54. Chef Hands-on
  55. Closed Form Solution of Linear Regression and Locally Weighted Regressions (LOWESS) using Python
  56. Cloud Administration using OpenStack
  57. Cloud Installation and Deployment using OpenStack
  58. CockroachDB Made Simple
  59. Computational Mathematical Models and Methods in MATLAB
  60. Convolutional Neural Networks (CNNs) Advanced Techniques
  61. Convolutional Neural Networks (CNNs) Architectures for Large Datasets
  62. Convolutional Neural Networks (CNNs) Essentials
  63. Convolutional Neural Networks (CNNs) Hands-on
  64. CouchDB Made Simple
  65. CSS3 Web Development Essentials
  66. DAMA-DMBOK: Data Management Body of Knowledge (DMBOK2)
  67. Data Modeling for MongoDB
  68. Data Visualization and Data Generation using Python and Matplotlib
  69. Diameter of a Binary Tree in C++
  70. Distributed Database (DDBMS) Made Simple
  71. Djikstra’s Algorithm in C++
  72. Docker Essentials: The Definitive Guide to Docker Containerization
  73. E. F. Codd and Relational Theory, Revised Edition
  74. Effective Communication in the Workplace
  75. ElasticSearch Made Simple
  76. Exploratory Data Analysis (EDA) Using R
  77. Facial Detection and Recognition using OpenCV (BONUS: Create your own Snapchat Filter!)
  78. Fifty Years of Relational, and Other Database Writings
  79. File Handling in Python
  80. Finding Connected Components within a Graph in C++
  81. Flask Complete Guide
  82. Flask Made Simple
  83. Flow Triggers: A Practical Guide to Maximizing Flow in Everyday Life
  84. Flow-based Leadership
  85. Ford Fulkerson Algorithm Overview
  86. Graph Data Modeling for NoSQL and SQL
  87. Graph Database Fundamentals
  88. Hidden Markov Models (HMMs) Advanced Techniques
  89. Hidden Markov Models (HMMs) Essentials
  90. Holiday Accommodation Problem in C++
  91. Implementing Cycle Detection in C++
  92. Implementing Graph Topological Sort in C++
  93. Implementing the Breadth-First-Search (BFS) Graph Approach in C++
  94. Implementing the Chutes and Ladders Game in C++
  95. Implementing the Graph Depth First Search (DFS) Algorithm in C++
  96. Implementing the Graph Traversal Algorithm in C++
  97. Implementing the Instagram Follower Graph in C++
  98. Iteration in Python
  99. Java 10 Fundamentals
  100. JavaScript Backbone (backbone.js) Made Simple
  101. JavaScript Riot (Riot.js) Made Simple
  102. JDBC Essentials
  103. jQuery Made Simple
  104. JSON (JavaScript Object Notation) Structure and Design
  105. Kafka Connect API Essentials
  106. Kafka Connect API Hands-on
  107. Kafka Fundamentals
  108. Linear Algebra Advanced Techniques
  109. Linear Algebra Essentials
  110. Logic and Relational Theory
  111. Machine Learning Using Python
  112. Managing Large Datasets using Convolutional Neural Networks (CNNs)
  113. Manipulating Matrices using NumPy
  114. Many Cultures, One Team
  115. MariaDB and SQL Server Fundamentals
  116. MariaDB and SQL Server Hands-on
  117. Markov Chains Advanced Techniques
  118. Markov Chains Essentials
  119. MATLAB Functions and Loops
  120. MATLAB Fundamentals
  121. MATLAB Installation and Hands-on
  122. MATLAB Looping Constructs Advanced Techniques
  123. MATLAB Looping Constructs Essentials
  124. MATLAB Matrices
  125. MATLAB Operators and Arrays
  126. MicroPython Complete: The Definitive Guide to Python for Microcontrollers Using MicroPython and ESP32
  127. Microsoft Access (MS Access) Made Simple
  128. MongoDB Made Simple
  129. MongoDB Primer
  130. Multi-model Databases
  131. Multivariate Linear Regression (Multiple-Linear Regression) Advanced Techniques
  132. Multivariate Linear Regression (Multiple-Linear Regression) Essentials
  133. My Life as a Writer
  134. Naive Bayes Classifier Advanced Techniques
  135. Naive Bayes Classifier Essentials
  136. Natural Language Processing (NLP) Using Python
  137. Network Flow in C++
  138. NoSQL and SQL Data Modeling
  139. NoSQL Complete (Using MongoDB as an example)
  140. Object Oriented Programming in Python
  141. Oldies but Goodies: C.J. Date and Relational Theory
  142. One-Dimensional Approach to Dynamic Programming in C++
  143. PostgreSQL Made Simple
  144. Probability Distribution, Statistics, and Data Analysis using Pandas (Advanced)
  145. Probability Distribution, Statistics, and Data Analysis using Pandas (Fundamentals)
  146. Programming Languages for Data Science
  147. Puppet Complete Guide
  148. React (React.js or ReactJS) Essentials
  149. React (React.js or ReactJS) Hands-on
  150. Recurrent Neural Network (RNN) Advanced Techniques
  151. Recurrent Neural Network (RNN) Essentials
  152. Redis Made Simple
  153. RethinkDB Made Simple
  154. SAP ABAP Dictionary Essentials
  155. SAP S/4 HANA Essentials
  156. Scala Essentials
  157. Software Wasteland
  158. Solr Made Simple
  159. SQL Made Simple
  160. Stating the Obvious, and Other Database Writings
  161. Streaming Data and Message-oriented Middleware Fundamentals
  162. The DAMA Dictionary of Data Management
  163. The Definitive Guide to MySQL and MariaDB
  164. The Definitive Guide to Redis
  165. The Definitive Guide to SAP Master Data
  166. The Definitive Guide to Software Defined Networking (SDN)
  167. The Definitive Guide to the Cisco Identity Services Engine (ISE)
  168. The Definitive Guide to the Laravel Framework
  169. The Principle of Cautious Design (POCD)
  170. Thinking in Documents
  171. Transfer Learning Advanced Techniques
  172. Transfer Learning Essentials
  173. Traveling Salesman Problem in C++
  174. UiPath Complete: The Definitive Guide on Using UiPath for Automation
  175. Unity and 3D Development
  176. Version Control with Git and Github
  177. Web Scraping Using Python
  178. Word2Vec Model Essentials