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DAT515 - Enterprise Data Management

(SNHU-DAT515.AJ1) / ISBN : 978-1-64459-781-1
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1

Background Concepts

  • Introducing databases
  • Exploring MySQL
  • Exercise 1.01: Organizing data in a relational format
  • Exploring MySQL architecture
  • Storage engines (InnoDB and MyRocks)
  • Data modeling
  • Normalization
  • Activity 1.01: Creating an optimized table for an employee project
  • Summary
2

Creating a Database

  • Developing databases
  • The MySQL Workbench GUI
  • Accessing MySQL through the command-line interface
  • Creating a database
  • Using Workbench to add a table
  • MySQL table indexes and foreign keys
  • Reverse engineering a database
  • Activity 2.01 – modifying the EER diagram, the model, and the database
  • Summary
3

Using SQL to Work with a Database

  • An introduction to working with databases using SQL
  • Working with data
  • Backing up databases
  • Restoring databases
  • Working with SQL code to maintain a database
  • Creating a new database
  • Creating and modifying tables
  • SQL queries to create indexes and foreign keys
  • Activity 3.1 – creating a table with indexes and foreign keys
  • Altering table queries
  • Adding data to a table
  • Updating data in a record
  • Deleting data from tables
  • Blobs, files, and file paths
  • Activity 3.2 – adding image file paths to the database
  • Summary
4

Selecting, Aggregating, and Applying Functions

  • An introduction to querying data
  • Querying tables in MySQL
  • Exercise 4.01 – working with simple queries
  • Filtering results
  • Exercise 4.02 – filtering results
  • Using functions on data
  • Exercise 4.03 – using functions
  • Aggregating data
  • Exercise 4.04 – aggregating data
  • Case statements
  • Exercise 4.05 – writing case statements
  • Activity 4.01 – collecting information for a travel article
  • Summary
5

Correlating Data across Tables

  • Introduction to processing data across tables
  • Joining two tables
  • Analyzing subqueries
  • Common table expressions
  • Analyzing query performance with EXPLAIN
  • Activity 5.01: The Sakila video store
  • Activity 5.02: Generating a list of years
  • Summary
6

Stored Procedures and Other Objects

  • Introduction to database objects
  • Exploring various database objects
  • Working with views
  • Activity 6.01 – updating the data in a view
  • Working with user-defined functions
  • Working with stored procedures
  • Working with IN, OUT, and INOUT
  • Exploring triggers
  • Using transactions
  • Summary
7

Creating Database Clients in Node.js

  • Introduction to database management with Node.js
  • Best practices for SQL client development
  • JavaScript using Node.js
  • Connecting to MySQL
  • Activity 7.01 – building a database application with Node.js
  • Summary
8

Working with Data Using Node.js

  • Interacting with databases
  • Inserting records in Node.js
  • Updating the records of a table
  • Activity 8.01 – multiple updates
  • Displaying data in browsers
  • ODBC connections
  • Activity 8.02 – designing a customer database
  • Summary
9

Microsoft Access – Part 1

  • Introduction to MS Access
  • MS Access database application configurations
  • Upsizing an MS Access database to MySQL
  • Manually exporting MS Access tables
  • Adjusting field properties
  • Migrating with wizards
  • Linking to your tables and views
  • Refreshing linked MySQL tables
  • Activity 9.01 – linking the remaining MySQL tables to your MS Access database
  • Summary
10

Microsoft Access – Part 2

  • Introduction to MS Access
  • Migrating an MS Access application to MySQL
  • Activity 10.01 – Converting gender and job statistics
  • Calling MySQL functions
  • Activity 10.02 – Creating a function and calling it
  • Calling MySQL stored procedures
  • Activity 10.03 – Creating MySQL stored procedures and using them in VBA
  • Using parameters
  • Activity 10.04 – Parameterized stored procedure (series list)
  • Activity 10.05 – Multiple parameters stored procedure (date list)
  • The Bad Bits form
  • Summary
11

MS Excel VBA and MySQL – Part 1

  • Introduction to Excel
  • Exploring the ODBC connection
  • Exploring the Excel VBA structure
  • Learning about VBA libraries
  • Connecting to the MySQL database using VBA
  • Reading data from MySQL using VBA
  • Populating charts
  • Activity 11.01 – Creating a chart (artist track sales)
  • Summary
12

Working With Microsoft Excel VBA – Part 2

  • An introduction to MySQL connections
  • Connecting to the MySQL database using ODBC
  • Exploring generic data read functions
  • Creating connections to MySQL in Excel
  • Inserting data using MySQL for Excel
  • Updating data using MySQL for Excel
  • Pushing data from Excel
  • Pivot tables
  • Activity 12.01 – building a MySQL-based Excel document
  • Summary
13

Getting Data into MySQL

  • An introduction to data preparation
  • Working with the X DevAPI
  • Inserting documents
  • Loading data from a SQL file
  • Loading data from a CSV file
  • Loading data from a JSON file
  • Using the CSV storage engine to export data
  • Using the CSV storage engine to import data
  • Searching and filtering JSON documents
  • Using JSON functions and operators to query JSON columns
  • Using generated columns to query and index JSON data
  • Activity 13.01 – Exporting report data to CSV for Excel
  • Summary
14

Manipulating User Permissions

  • Introduction to user permissions
  • Exploring users and accounts
  • Exercise 14.01 – creating users and granting permissions
  • Changing users
  • Flush privileges
  • Changing permissions
  • Exercise 14.02 – modifying users and revoking permissions
  • Using roles
  • Exercise 14.03 – using roles to manage permissions
  • Troubleshooting access problems
  • Activity 14.01 – creating users for managing the world schema
  • Summary
15

Logical Backups

  • An introduction to backups
  • Understanding the basics of backups
  • Logical and physical backup
  • Types of restore
  • Scheduling backups
  • Using point-in-time recovery with binlog files
  • Activity 15.01 – backing up and restoring a single schema
  • Activity 15.02 – performing a point-in-time restore
  • Summary
16

Introducing MongoDB

  • Overview of MongoDB
  • Installing MongoDB
  • Installing MongoDB on Linux
  • Summary
17

Understanding MongoDB Data Structures

  • What is NoSQL?
  • Documents, collections, and database
  • Data-modeling considerations
  • Creating a MongoDB database and collection
  • Summary
18

Using the MongoDB Shell

  • Overview
  • Performing simple queries
  • Database and collection operations
  • Creating, updating, or deleting documents
  • Creating and running shell scripts
  • Summary
19

Developing with Program Language Drivers

  • Overview of the MongoDB PHP driver
  • Installing the MongoDB PHP extension
  • Performing CRUD operations using PHPLIB
  • Other libraries and framework integration
  • Summary
20

Building Complex Queries Using Aggregation

  • An overview of aggregation
  • Using single-purpose aggregation
  • Using the aggregation pipeline
  • Using map-reduce
  • Using the MongoDB Compass aggregation pipeline builder
  • Summary
21

Maintaining MongoDB Performance

  • Indexes
  • Simple backup and restore
  • Replication
  • Sharding
  • Summary
22

Securing MongoDB

  • MongoDB security overview
  • Transport Layer Security
  • Authentication
  • Access control
  • Summary
23

Getting from a Web Form to MongoDB

  • Building the application
  • Configuring transaction support
  • Adding security
  • Summary
A

Appendix A: Using Docker

  • Using MongoDB with Docker

1

Background Concepts

  • Creating a Relational Database
  • Creating a New Database Using MS Access
  • Normalizing Data from 2NF to 3NF
  • Normalizing Data from 1NF to 2NF
2

Creating a Database

  • Creating a Connection With the MySQL Workbench GUI
  • Creating a Database using MySQL Workbench
  • Creating a Table Using MySQL Workbench
  • Creating an Index
  • Creating a Foreign Key
  • Creating an EER Diagram
3

Using SQL to Work with a Database

  • Modifying an Existing Table
  • Adding a Record
  • Updating a Record
  • Deleting Data from a Table
4

Selecting, Aggregating, and Applying Functions

  • Filtering Results
  • Using Functions
  • Aggregating Data
  • Using CASE Statements
5

Correlating Data across Tables

  • Joining Two Tables
  • Using Common Table Expressions (CTEs)
  • Using the EXPLAIN Command
6

Stored Procedures and Other Objects

  • Creating a View
  • Creating a Stored Procedure
  • Using Triggers
  • Implementing a Transaction
7

Creating Database Clients in Node.js

  • Testing the Output of a Node.js Script
  • Writing to a Disk File
8

Working with Data Using Node.js

  • Creating a LAN DSN/ODBC Connection
9

Microsoft Access – Part 1

  • Creating an ODBC for a MySQL Database Schema
  • Upsizing a Table from Microsoft Access to MySQL
10

Microsoft Access – Part 2

  • Calling a MySQL Function
  • Creating a Parameterized Stored Procedure
11

MS Excel VBA and MySQL – Part 1

  • Activating the Developer tab and the VBA IDE
  • Creating a Code Module
12

Getting Data into MySQL

  • Importing a SQL File using MySQL Workbench
13

Introducing MongoDB

  • Installing MongoDB on Kali Linux
  • Installing MongoDB on Linux
14

Using the MongoDB Shell

  • Creating a Database
  • Dropping a Database
  • Creating a Collection
  • Deleting a Collection
  • Creating Multiple Documents
  • Deleting a Document
  • Running a Direct Command
  • Running a Shell Script
15

Developing with Program Language Drivers

  • Searching by Name
16

Building Complex Queries Using Aggregation

  • Using Single-Purpose Aggregation
  • Using the Aggregation Pipeline 
  • Using the $group Stage Accumulators 
  • Using the $lookup Stage Accumulators
  • Using the $match Stage Accumulators
  • Using the $anyElementTrue Expression Operator
  • Using the $add Expression Operator
  • Using map-reduce
17

Maintaining MongoDB Performance

  • Creating Single Field Indexes
  • Creating Compound Indexes
  • Creating Multi-Key Indexes
  • Using mongodump
  • Using mongorestore
18

Securing MongoDB

  • Mongo Shell Authentication using SCRAM
  • Creating a Role
  • Dropping a Role
  • Creating a User
  • Dropping a User

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