Data Management Documents

Data Mining
Electrical Inspection Procedures Handbook
This handbook provides essential procedures for MSHA personnel conducting inspections of electrical systems in mines. It offers guidance for both electrical specialists and general inspectors. Compliance with the detailed instructions is crucial to ensure safety in mining operations.

Database Management
Enhancing ORM Application Performance and Scalability
This file is a comprehensive study on performance bugs in ORM applications. It analyzes common performance anti-patterns and provides remedies to improve efficiency. Developers and researchers can benefit from the findings to enhance backend performance.

Database Management
Multivalued Dependencies in Database Systems
This file provides an in-depth exploration of multivalued dependencies in relational database systems. It includes examples and definitions relevant to database management. Ideal for students and professionals in computer science.

Data Security
Best Practices for Secure Data Intake and Design
This file outlines best practices for secure data intake, modeling, and design. It highlights vulnerabilities in software that processes electronic data and offers solutions to mitigate risks. Users will learn from the SafeDocs Program to enhance their data handling strategies.

Database Management
MySQL Tutorial - Comprehensive Guide for Users
This MySQL Tutorial is an essential resource from the MySQL 5.7 Reference Manual. It covers everything from connecting to MySQL, creating databases, and entering queries to sharing SQL best practices. Perfect for both beginners and experienced users looking to enhance their database skills.

Data Governance
Corporate Governance Guidelines for WWE Inc.
This file contains the Corporate Governance Guidelines adopted by WWE Inc. It outlines the roles and responsibilities of the Board of Directors. Essential for stakeholders to understand corporate governance practices.

Data Governance
BMW Group Statement on Corporate Governance 2021
This document outlines the corporate governance principles followed by BMW AG. It includes compliance declarations and details about management and supervisory structures. Users can learn about the responsibilities and processes that uphold governance standards in the company.

Database Management
DBA Roles and Responsibilities Overview
This file provides a comprehensive overview of the roles and responsibilities of a Database Administrator (DBA). It is essential for organizations to have central control for database design, implementation, and maintenance. Users can gain insights into best practices and required skills for effective database management.

Data Governance
Board of Governors Nominating Minutes 2017
This file includes the official minutes from the University Board of Governors meetings held in 2017. It provides insights into the candidates nominated and decisions made during the meetings. A vital resource for understanding the governance of the university.

Database Management
Understanding Microsoft Access Forms for Data Management
This file provides comprehensive insights into Microsoft Access Forms. Learn how to create, manipulate, and effectively use forms for data entry and management. Ideal for users wanting to streamline their database operations.

Data Governance
Governance and Securities Disclosure Requirements
This file contains important details on new SEC disclosure requirements for public companies. It outlines compliance dates and necessary disclosures regarding insider trading, share repurchases, cybersecurity, and clawback policies. Companies should review the instructions to ensure compliance with the updated regulations.

Data Governance
AI Governance Alliance Briefing Paper Series
This briefing paper series by the AI Governance Alliance provides insights into the responsible development, governance, and adoption of artificial intelligence. It features contributions from leading experts and institutions to guide stakeholders in navigating AI's impact. The series aims to foster collaboration and ethical considerations in AI initiatives across various sectors.