Description

Book Synopsis

A concise introduction to database design concepts, methods, and techniques in and out of the cloud

In the newly revised second edition of Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, Second Edition, award-winning programming instructor and mathematician Rod Stephens delivers an easy-to-understand guide to designing and implementing databases both in and out of the cloud. Without assuming any prior database design knowledge, the author walks you through the steps you'll need to take to understand, analyze, design, and build databases.

In the book, you'll find clear coverage of foundational database concepts along with hands-on examples that help you practice important techniques so you can apply them to your own database designs, as well as:

  • Downloadable source code that illustrates the concepts discussed in the book
  • Best practices for reliable, platform-agnost

    Table of Contents

    Introduction xxv

    Part 1: Introduction to Databases and Database Design

    Chapter 1: Database Design Goals 3

    The Importance of Design 4

    Information Containers 6

    Strengths and Weaknesses of Information Containers 8

    Desirable Database Features 9

    Crud 10

    Retrieval 10

    Consistency 11

    Validity 11

    Easy Error Correction 12

    Speed 13

    Atomic Transactions 13

    Acid 14

    Base 16

    NewSQL 17

    Persistence and Backups 17

    Low Cost and Extensibility 18

    Ease of Use 19

    Portability 19

    Security 20

    Sharing 21

    Ability to Perform Complex Calculations 21

    CAP Theorem 22

    Cloud Considerations 22

    Legal and Security Considerations 23

    Consequences of Good and Bad Design 24

    Summary 26

    Chapter 2: Relational Overview 29

    Picking a Database 30

    Relational Points of View 31

    Table, Rows, and Columns 32

    Relations, Attributes, and Tuples 34

    Keys 34

    Indexes 36

    Constraints 37

    Domain Constraints 37

    Check Constraints 37

    Primary Key Constraints 38

    Unique Constraints 38

    Foreign Key Constraints 38

    Database Operations 40

    Popular RDBs 41

    Spreadsheets 43

    Summary 44

    Chapter 3: NoSQL OVERVIEW 47

    The Cloud 47

    Picking a Database 50

    NoSQL Philosophy 50

    NoSQL Databases 50

    Document Databases 51

    Key- Value Database 52

    Column- Oriented Databases 53

    Graph Databases 53

    Street Networks 54

    Communication Networks 55

    Social Media Apps 55

    E- Commerce Programs 55

    Algorithms 56

    Hierarchical Databases 56

    Less Exotic Options 59

    Flat Files 59

    XML Files 60

    XML Basics 61

    XML Practices 64

    XML Summary 66

    JSON Files 67

    Spreadsheets 69

    More Exotic Options 70

    Object 70

    Deductive 70

    Dimensional 70

    Temporal 71

    Database Pros and Cons 72

    Relational 72

    General NoSQL 73

    Quick Guidelines 74

    Summary 76

    Part 2: Database Design Process and Techniques

    Chapter 4: Understanding User Needs 83

    Make a Plan 84

    Bring a List of Questions 85

    Functionality 85

    Data Needs 86

    Data Integrity 86

    Security 87

    Environment 88

    Meet the Customers 88

    Learn Who’s Who 89

    Pick the Customers’ Brains 93

    Walk a Mile in the User’s Shoes 93

    Study Current Operations 94

    Brainstorm 94

    Look to the Future 95

    Understand the Customers’ Reasoning 96

    Learn What the Customers Really Need 97

    Prioritize 98

    Verify Your Understanding 99

    Create the Requirements Document 101

    Make Use Cases 102

    Decide Feasibility 106

    Summary 106

    Chapter 5: Translating User Needs Into Data Models 111

    What Are Data Models? 112

    User Interface Models 114

    Semantic Object Models 118

    Classes and Objects 119

    Cardinality 120

    Identifiers 120

    Putting It Together 121

    Semantic Views 122

    Class Types 124

    Simple Objects 124

    Composite Objects 124

    Compound Objects 125

    Hybrid Objects 125

    Association Objects 126

    Inherited Objects 128

    Comments and Notes 129

    Entity- Relationship Models 130

    Entities, Attributes, and Identifiers 131

    Relationships 132

    Cardinality 133

    Inheritance 134

    Additional Conventions 136

    Comments and Notes 137

    Relational Models 137

    Converting Semantic Object Models 138

    Converting ER Diagrams 140

    Summary 142

    Chapter 6: Extracting Business Rules 145

    What Are Business Rules? 145

    Identifying Key Business Rules 147

    Extracting Key Business Rules 152

    Multi- Tier Applications 154

    Summary 158

    Chapter 7: Normalizing Data 163

    What Is Normalization? 163

    First Normal Form (1NF) 164

    Second Normal Form (2NF) 173

    Third Normal Form (3NF) 177

    Stopping at Third Normal Form 181

    Boyce- Codd Normal Form (BCNF) 181

    Fourth Normal Form (4NF) 185

    Fifth Normal Form (5NF) 190

    Domain/Key Normal Form (DKNF) 193

    Essential Redundancy 195

    The Best Level of Normalization 197

    NoSQL Normalization 197

    Summary 199

    Chapter 8: Designing Databases to Support Software 203

    Plan Ahead 204

    Document Everything 204

    Consider Multi- Tier Architecture 205

    Convert Domains into Tables 205

    Keep Tables Focused 206

    Use Three Kinds of Tables 207

    Use Naming Conventions 209

    Allow Some Redundant Data 210

    Don’t Squeeze in Everything 211

    Summary 212

    Chapter 9: Using Common Design Patterns 215

    Associations 216

    Many- to- Many Associations 216

    Multiple Many- to- Many Associations 216

    Multiple- Object Associations 218

    Repeated Attribute Associations 221

    Reflexive Associations 222

    One- to- One Reflexive Associations 223

    One- to- Many Reflexive Associations 224

    Hierarchical Data 225

    Hierarchical Data with NoSQL 228

    Network Data 229

    Network Data with NoSQL 231

    Temporal Data 232

    Effective Dates 232

    Deleted Objects 233

    Deciding What to Temporalize 234

    Logging and Locking 236

    Audit Trails 236

    Turnkey Records 237

    Summary 238

    Chapter 10: Avoiding Common Design Pitfalls 241

    Lack of Preparation 241

    Poor Documentation 242

    Poor Naming Standards 242

    Thinking Too Small 244

    Not Planning for Change 245

    Too Much Normalization 248

    Insufficient Normalization 248

    Insufficient Testing 249

    Performance Anxiety 249

    Mishmash Tables 250

    Not Enforcing Constraints 253

    Obsession with IDs 253

    Not Defining Natural Keys 256

    Summary 257

    Part 3: a Detailed Case Study

    Chapter 11: Defining User Needs and Requirements 263

    Meet the Customers 263

    Pick the Customers’ Brains 265

    Determining What the System Should Do 265

    Determining How the Project Should Look 267

    Determining What Data Is Needed for the User Interface 268

    Determining Where the Data Should Come From 269

    Determining How the Pieces of Data Are Related 269

    Determining Performance Needs 271

    Determining Security Needs 272

    Determining Data Integrity Needs 273

    Write Use Cases 275

    Write the Requirements Document 279

    Demand Feedback 280

    Summary 281

    Chapter 12: Building a Data Model 283

    Semantic Object Modeling 283

    Building an Initial Semantic Object Model 283

    Improving the Semantic Object Model 286

    Entity- Relationship Modeling 289

    Building an ER Diagram 289

    Building a Combined ER Diagram 291

    Improving the Entity- Relationship Diagram 293

    Relational Modeling 294

    Putting It All Together 298

    Summary 299

    Chapter 13: Extracting Business Rules 303

    Identifying Business Rules 303

    Courses 304

    CustomerCourses 306

    Customers 307

    Pets 307

    Employees 307

    Orders 307

    OrderItems 308

    InventoryItems 308

    TimeEntries 308

    Shifts 309

    Persons 309

    Phones 309

    Vendors 309

    Drawing a New Relational Model 310

    Summary 310

    Chapter 14: Normalizing and Refining 313

    Improving Flexibility 313

    Verifying First Normal Form 315

    Verifying Second Normal Form 318

    Pets 319

    TimeEntries 320

    Verifying Third Normal Form 321

    Summary 323

    Part 4: Example Programs

    Chapter 15: Example Overview 327

    Tool Choices 327

    Jupyter Notebook 329

    Visual Studio 331

    Database Adapters 332

    Packages in Jupyter Notebook 333

    Packages in Visual Studio 334

    Program Passwords 336

    Summary 336

    Chapter 16: MariaDB IN PYTHON 339

    Install MariaDB 340

    Run HeidiSQL 340

    Create the Program 343

    Install pymysql 344

    Create the Database 344

    Define Tables 346

    Create Data 348

    Fetch Data 350

    Summary 352

    Chapter 17: MariaDB IN C# 355

    Create the Program 355

    Install MySqlConnector 356

    Create the Database 356

    Define Tables 358

    Create Data 360

    Fetch Data 364

    Summary 366

    Chapter 18: PostgreSQL IN PYTHON 369

    Install PostgreSQL 370

    Run pgAdmin 371

    Design the Database 371

    Create a User 371

    Create the Database 373

    Define the Tables 374

    Define the customers Table 374

    Define the orders Table 376

    Define the order_items Table 377

    Create the Program 378

    Install Psycopg 379

    Connect to the Database 379

    Delete Old Data 380

    Create Customer Data 380

    Create Order Data 382

    Create Order Item Data 383

    Close the Connection 384

    Perform Queries 384

    Summary 386

    Chapter 19: PostgreSQL IN C# 389

    Create the Program 389

    Install Npgsql 389

    Connect to the Database 390

    Delete Old Data 391

    Create Customer Data 392

    Create Order Data 393

    Create Order Item Data 395

    Display Orders 396

    Summary 399

    Chapter 20: Neo4j AuraDB IN PYTHON 401

    Install Neo4j AuraDB 402

    Nodes and Relationships 404

    Cypher 404

    Create the Program 405

    Install the Neo4j Database Adapter 405

    Action Methods 405

    delete_all_nodes 406

    make_node 407

    make_link 407

    execute_node_query 408

    find_path 409

    Org Chart Methods 410

    build_org_chart 410

    query_org_chart 411

    Main Program 412

    Summary 414

    Chapter 21: Neo4j AuraDB IN C# 417

    Create the Program 418

    Install the Neo4j Driver 418

    Action Methods 419

    DeleteAllNodes 419

    MakeNode 420

    MakeLink 421

    ExecuteNodeQuery 422

    FindPath 422

    Org Chart Methods 423

    BuildOrgChart 424

    QueryOrgChart 424

    Main 426

    Summary 428

    Chapter 22: MongoDB ATLAS IN PYTHON 431

    Not Normal but Not Abnormal 432

    XML, JSON, and BSON 432

    Install MongoDB Atlas 434

    Find the Connection Code 436

    Create the Program 439

    Install the PyMongo Database Adapter 439

    Helper Methods 440

    person_string 440

    connect_to_db 441

    delete_old_data 442

    create_data 442

    query_data 444

    Main Program 449

    Summary 450

    Chapter 23: MongoDB ATLAS IN C# 453

    Create the Program 454

    Install the MongoDB Database Adapter 454

    Helper Methods 454

    PersonString 455

    DeleteOldData 456

    CreateData 457

    QueryData 458

    Main Program 462

    Summary 465

    Chapter 24: Apache Ignite in Python 467

    Install Apache Ignite 468

    Start a Node 468

    Without Persistence 469

    With Persistence 470

    Create the Program 470

    Install the pyignite Database Adapter 471

    Define the Building Class 471

    Save Data 471

    Read Data 473

    Demonstrate Volatile Data 473

    Demonstrate Persistent Data 474

    Summary 474

    Chapter 25: Apache Ignite in C# 477

    Create the Program 477

    Install the Ignite Database Adapter 478

    The Main Program 479

    The Building Class 480

    The WriteData Method 480

    The ReadData Method 482

    Demonstrate Volatile Data 483

    Demonstrate Persistent Data 483

    Summary 483

    Part 5: Advanced Topics

    Chapter 26: Introduction to Sql 489

    Background 491

    Finding More Information 491

    Standards 492

    Multistatement Commands 493

    Basic Syntax 495

    Command Overview 495

    Create Table 498

    Create Index 503

    Drop 504

    Insert 504

    Select 506

    SELECT Clause 506

    FROM Clause 507

    WHERE Clause 511

    GROUP BY Clause 511

    ORDER BY Clause 512

    Update 513

    Delete 514

    Summary 515

    Chapter 27: Building Databases with Sql Scripts 519

    Why Bother with Scripts? 519

    Script Categories 520

    Database Creation Scripts 520

    Basic Initialization Scripts 520

    Data Initialization Scripts 520

    Cleanup Scripts 521

    Saving Scripts 521

    Ordering SQL Commands 522

    Summary 531

    Chapter 28: Database Maintenance 533

    Backups 533

    Data Warehousing 537

    Repairing the Database 538

    Compacting the Database 538

    Performance Tuning 538

    Summary 542

    Chapter 29: Database Security 545

    The Right Level of Security 545

    Passwords 546

    Single- Password Databases 546

    Individual Passwords 546

    Operating System Passwords 547

    Good Passwords 547

    Privileges 548

    Initial Configuration and Privileges 553

    Too Much Security 553

    Physical Security 554

    Summary 555

    Appendix A: Exercise Solutions 557

    Appendix B: Sample Relational Designs 649

    Glossary 671

    Index 683

Beginning Database Design Solutions

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    A Paperback / softback by Rod Stephens

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      View other formats and editions of Beginning Database Design Solutions by Rod Stephens

      Publisher: John Wiley & Sons Inc
      Publication Date: 24/04/2023
      ISBN13: 9781394155729, 978-1394155729
      ISBN10: 1394155727
      Also in:
      Mathematics

      Description

      Book Synopsis

      A concise introduction to database design concepts, methods, and techniques in and out of the cloud

      In the newly revised second edition of Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, Second Edition, award-winning programming instructor and mathematician Rod Stephens delivers an easy-to-understand guide to designing and implementing databases both in and out of the cloud. Without assuming any prior database design knowledge, the author walks you through the steps you'll need to take to understand, analyze, design, and build databases.

      In the book, you'll find clear coverage of foundational database concepts along with hands-on examples that help you practice important techniques so you can apply them to your own database designs, as well as:

      • Downloadable source code that illustrates the concepts discussed in the book
      • Best practices for reliable, platform-agnost

        Table of Contents

        Introduction xxv

        Part 1: Introduction to Databases and Database Design

        Chapter 1: Database Design Goals 3

        The Importance of Design 4

        Information Containers 6

        Strengths and Weaknesses of Information Containers 8

        Desirable Database Features 9

        Crud 10

        Retrieval 10

        Consistency 11

        Validity 11

        Easy Error Correction 12

        Speed 13

        Atomic Transactions 13

        Acid 14

        Base 16

        NewSQL 17

        Persistence and Backups 17

        Low Cost and Extensibility 18

        Ease of Use 19

        Portability 19

        Security 20

        Sharing 21

        Ability to Perform Complex Calculations 21

        CAP Theorem 22

        Cloud Considerations 22

        Legal and Security Considerations 23

        Consequences of Good and Bad Design 24

        Summary 26

        Chapter 2: Relational Overview 29

        Picking a Database 30

        Relational Points of View 31

        Table, Rows, and Columns 32

        Relations, Attributes, and Tuples 34

        Keys 34

        Indexes 36

        Constraints 37

        Domain Constraints 37

        Check Constraints 37

        Primary Key Constraints 38

        Unique Constraints 38

        Foreign Key Constraints 38

        Database Operations 40

        Popular RDBs 41

        Spreadsheets 43

        Summary 44

        Chapter 3: NoSQL OVERVIEW 47

        The Cloud 47

        Picking a Database 50

        NoSQL Philosophy 50

        NoSQL Databases 50

        Document Databases 51

        Key- Value Database 52

        Column- Oriented Databases 53

        Graph Databases 53

        Street Networks 54

        Communication Networks 55

        Social Media Apps 55

        E- Commerce Programs 55

        Algorithms 56

        Hierarchical Databases 56

        Less Exotic Options 59

        Flat Files 59

        XML Files 60

        XML Basics 61

        XML Practices 64

        XML Summary 66

        JSON Files 67

        Spreadsheets 69

        More Exotic Options 70

        Object 70

        Deductive 70

        Dimensional 70

        Temporal 71

        Database Pros and Cons 72

        Relational 72

        General NoSQL 73

        Quick Guidelines 74

        Summary 76

        Part 2: Database Design Process and Techniques

        Chapter 4: Understanding User Needs 83

        Make a Plan 84

        Bring a List of Questions 85

        Functionality 85

        Data Needs 86

        Data Integrity 86

        Security 87

        Environment 88

        Meet the Customers 88

        Learn Who’s Who 89

        Pick the Customers’ Brains 93

        Walk a Mile in the User’s Shoes 93

        Study Current Operations 94

        Brainstorm 94

        Look to the Future 95

        Understand the Customers’ Reasoning 96

        Learn What the Customers Really Need 97

        Prioritize 98

        Verify Your Understanding 99

        Create the Requirements Document 101

        Make Use Cases 102

        Decide Feasibility 106

        Summary 106

        Chapter 5: Translating User Needs Into Data Models 111

        What Are Data Models? 112

        User Interface Models 114

        Semantic Object Models 118

        Classes and Objects 119

        Cardinality 120

        Identifiers 120

        Putting It Together 121

        Semantic Views 122

        Class Types 124

        Simple Objects 124

        Composite Objects 124

        Compound Objects 125

        Hybrid Objects 125

        Association Objects 126

        Inherited Objects 128

        Comments and Notes 129

        Entity- Relationship Models 130

        Entities, Attributes, and Identifiers 131

        Relationships 132

        Cardinality 133

        Inheritance 134

        Additional Conventions 136

        Comments and Notes 137

        Relational Models 137

        Converting Semantic Object Models 138

        Converting ER Diagrams 140

        Summary 142

        Chapter 6: Extracting Business Rules 145

        What Are Business Rules? 145

        Identifying Key Business Rules 147

        Extracting Key Business Rules 152

        Multi- Tier Applications 154

        Summary 158

        Chapter 7: Normalizing Data 163

        What Is Normalization? 163

        First Normal Form (1NF) 164

        Second Normal Form (2NF) 173

        Third Normal Form (3NF) 177

        Stopping at Third Normal Form 181

        Boyce- Codd Normal Form (BCNF) 181

        Fourth Normal Form (4NF) 185

        Fifth Normal Form (5NF) 190

        Domain/Key Normal Form (DKNF) 193

        Essential Redundancy 195

        The Best Level of Normalization 197

        NoSQL Normalization 197

        Summary 199

        Chapter 8: Designing Databases to Support Software 203

        Plan Ahead 204

        Document Everything 204

        Consider Multi- Tier Architecture 205

        Convert Domains into Tables 205

        Keep Tables Focused 206

        Use Three Kinds of Tables 207

        Use Naming Conventions 209

        Allow Some Redundant Data 210

        Don’t Squeeze in Everything 211

        Summary 212

        Chapter 9: Using Common Design Patterns 215

        Associations 216

        Many- to- Many Associations 216

        Multiple Many- to- Many Associations 216

        Multiple- Object Associations 218

        Repeated Attribute Associations 221

        Reflexive Associations 222

        One- to- One Reflexive Associations 223

        One- to- Many Reflexive Associations 224

        Hierarchical Data 225

        Hierarchical Data with NoSQL 228

        Network Data 229

        Network Data with NoSQL 231

        Temporal Data 232

        Effective Dates 232

        Deleted Objects 233

        Deciding What to Temporalize 234

        Logging and Locking 236

        Audit Trails 236

        Turnkey Records 237

        Summary 238

        Chapter 10: Avoiding Common Design Pitfalls 241

        Lack of Preparation 241

        Poor Documentation 242

        Poor Naming Standards 242

        Thinking Too Small 244

        Not Planning for Change 245

        Too Much Normalization 248

        Insufficient Normalization 248

        Insufficient Testing 249

        Performance Anxiety 249

        Mishmash Tables 250

        Not Enforcing Constraints 253

        Obsession with IDs 253

        Not Defining Natural Keys 256

        Summary 257

        Part 3: a Detailed Case Study

        Chapter 11: Defining User Needs and Requirements 263

        Meet the Customers 263

        Pick the Customers’ Brains 265

        Determining What the System Should Do 265

        Determining How the Project Should Look 267

        Determining What Data Is Needed for the User Interface 268

        Determining Where the Data Should Come From 269

        Determining How the Pieces of Data Are Related 269

        Determining Performance Needs 271

        Determining Security Needs 272

        Determining Data Integrity Needs 273

        Write Use Cases 275

        Write the Requirements Document 279

        Demand Feedback 280

        Summary 281

        Chapter 12: Building a Data Model 283

        Semantic Object Modeling 283

        Building an Initial Semantic Object Model 283

        Improving the Semantic Object Model 286

        Entity- Relationship Modeling 289

        Building an ER Diagram 289

        Building a Combined ER Diagram 291

        Improving the Entity- Relationship Diagram 293

        Relational Modeling 294

        Putting It All Together 298

        Summary 299

        Chapter 13: Extracting Business Rules 303

        Identifying Business Rules 303

        Courses 304

        CustomerCourses 306

        Customers 307

        Pets 307

        Employees 307

        Orders 307

        OrderItems 308

        InventoryItems 308

        TimeEntries 308

        Shifts 309

        Persons 309

        Phones 309

        Vendors 309

        Drawing a New Relational Model 310

        Summary 310

        Chapter 14: Normalizing and Refining 313

        Improving Flexibility 313

        Verifying First Normal Form 315

        Verifying Second Normal Form 318

        Pets 319

        TimeEntries 320

        Verifying Third Normal Form 321

        Summary 323

        Part 4: Example Programs

        Chapter 15: Example Overview 327

        Tool Choices 327

        Jupyter Notebook 329

        Visual Studio 331

        Database Adapters 332

        Packages in Jupyter Notebook 333

        Packages in Visual Studio 334

        Program Passwords 336

        Summary 336

        Chapter 16: MariaDB IN PYTHON 339

        Install MariaDB 340

        Run HeidiSQL 340

        Create the Program 343

        Install pymysql 344

        Create the Database 344

        Define Tables 346

        Create Data 348

        Fetch Data 350

        Summary 352

        Chapter 17: MariaDB IN C# 355

        Create the Program 355

        Install MySqlConnector 356

        Create the Database 356

        Define Tables 358

        Create Data 360

        Fetch Data 364

        Summary 366

        Chapter 18: PostgreSQL IN PYTHON 369

        Install PostgreSQL 370

        Run pgAdmin 371

        Design the Database 371

        Create a User 371

        Create the Database 373

        Define the Tables 374

        Define the customers Table 374

        Define the orders Table 376

        Define the order_items Table 377

        Create the Program 378

        Install Psycopg 379

        Connect to the Database 379

        Delete Old Data 380

        Create Customer Data 380

        Create Order Data 382

        Create Order Item Data 383

        Close the Connection 384

        Perform Queries 384

        Summary 386

        Chapter 19: PostgreSQL IN C# 389

        Create the Program 389

        Install Npgsql 389

        Connect to the Database 390

        Delete Old Data 391

        Create Customer Data 392

        Create Order Data 393

        Create Order Item Data 395

        Display Orders 396

        Summary 399

        Chapter 20: Neo4j AuraDB IN PYTHON 401

        Install Neo4j AuraDB 402

        Nodes and Relationships 404

        Cypher 404

        Create the Program 405

        Install the Neo4j Database Adapter 405

        Action Methods 405

        delete_all_nodes 406

        make_node 407

        make_link 407

        execute_node_query 408

        find_path 409

        Org Chart Methods 410

        build_org_chart 410

        query_org_chart 411

        Main Program 412

        Summary 414

        Chapter 21: Neo4j AuraDB IN C# 417

        Create the Program 418

        Install the Neo4j Driver 418

        Action Methods 419

        DeleteAllNodes 419

        MakeNode 420

        MakeLink 421

        ExecuteNodeQuery 422

        FindPath 422

        Org Chart Methods 423

        BuildOrgChart 424

        QueryOrgChart 424

        Main 426

        Summary 428

        Chapter 22: MongoDB ATLAS IN PYTHON 431

        Not Normal but Not Abnormal 432

        XML, JSON, and BSON 432

        Install MongoDB Atlas 434

        Find the Connection Code 436

        Create the Program 439

        Install the PyMongo Database Adapter 439

        Helper Methods 440

        person_string 440

        connect_to_db 441

        delete_old_data 442

        create_data 442

        query_data 444

        Main Program 449

        Summary 450

        Chapter 23: MongoDB ATLAS IN C# 453

        Create the Program 454

        Install the MongoDB Database Adapter 454

        Helper Methods 454

        PersonString 455

        DeleteOldData 456

        CreateData 457

        QueryData 458

        Main Program 462

        Summary 465

        Chapter 24: Apache Ignite in Python 467

        Install Apache Ignite 468

        Start a Node 468

        Without Persistence 469

        With Persistence 470

        Create the Program 470

        Install the pyignite Database Adapter 471

        Define the Building Class 471

        Save Data 471

        Read Data 473

        Demonstrate Volatile Data 473

        Demonstrate Persistent Data 474

        Summary 474

        Chapter 25: Apache Ignite in C# 477

        Create the Program 477

        Install the Ignite Database Adapter 478

        The Main Program 479

        The Building Class 480

        The WriteData Method 480

        The ReadData Method 482

        Demonstrate Volatile Data 483

        Demonstrate Persistent Data 483

        Summary 483

        Part 5: Advanced Topics

        Chapter 26: Introduction to Sql 489

        Background 491

        Finding More Information 491

        Standards 492

        Multistatement Commands 493

        Basic Syntax 495

        Command Overview 495

        Create Table 498

        Create Index 503

        Drop 504

        Insert 504

        Select 506

        SELECT Clause 506

        FROM Clause 507

        WHERE Clause 511

        GROUP BY Clause 511

        ORDER BY Clause 512

        Update 513

        Delete 514

        Summary 515

        Chapter 27: Building Databases with Sql Scripts 519

        Why Bother with Scripts? 519

        Script Categories 520

        Database Creation Scripts 520

        Basic Initialization Scripts 520

        Data Initialization Scripts 520

        Cleanup Scripts 521

        Saving Scripts 521

        Ordering SQL Commands 522

        Summary 531

        Chapter 28: Database Maintenance 533

        Backups 533

        Data Warehousing 537

        Repairing the Database 538

        Compacting the Database 538

        Performance Tuning 538

        Summary 542

        Chapter 29: Database Security 545

        The Right Level of Security 545

        Passwords 546

        Single- Password Databases 546

        Individual Passwords 546

        Operating System Passwords 547

        Good Passwords 547

        Privileges 548

        Initial Configuration and Privileges 553

        Too Much Security 553

        Physical Security 554

        Summary 555

        Appendix A: Exercise Solutions 557

        Appendix B: Sample Relational Designs 649

        Glossary 671

        Index 683

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