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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.

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single user / year

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100 users / year

Data Architecture & Modeling $195 $995 $4,995
Business Analysis & Data Governance $195 $995 $4,995
Data Science & Analytics $195 $995 $4,995
CDO & Data Evangelist $195 $995 $4,995
DBA & Developer $195 $995 $4,995
The Full Package Includes all of the above $395 $2,450 $9,950

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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