Relational Database Management Systems
Data Relationships
The Evolution of Big Data Technologies
Data Design
Understanding Big Data Challenges
Data Retrieval
System
Data Modeling
Data Models 
types include: Conceptual Data Model Logical Data Model Physical Data Model Dimensional Data Model
Relational Data Model 1
...Physical Data Model The physical data model translates the logical data model into a specific
database implementation
...It is widely used in database
management systems and is characterized by: Data integrity and consistency Support for complex queries using Structured Query Language (SQL) Normalization to reduce data redundancy Components of Data Models Regardless of the type, data models generally consist
...
Data Relationships Model (ER Model) A visual representation of entities (data points) and their relationships, commonly used in
database design
...Relational Model A model based on the theory of relations, where data is organized into tables that can be linked through relationships
...Implementation: Implement the relationships in the database or data
management system
...Relational Database Management
Systems (RDBMS): Systems like MySQL and PostgreSQL facilitate the creation and management of data relationships
...
The Evolution of Big Data Technologies Early Developments (1960s - 1990s) The concept of handling large datasets began in the 1960s with the development of
databases
...Traditional
relational database
management systems (RDBMS) were primarily designed to manage structured data
...
Data Design Key Components of Data Design Data design encompasses several components that collectively contribute to the effective
management and utilization of data
...Data Architecture: The overall structure of data
systems, including the design of
databases and data warehouses
...Data Storage Solutions: Choosing between
relational databases, NoSQL databases, and cloud storage options
...
Understanding Big Data Challenges Data
Management: Implementing effective data governance and management strategies
...Variety Big data encompasses a wide variety of data types, including: Structured Data: Organized data typically found in
relational databases
...Challenges include: Legacy
Systems: Compatibility issues with older systems that may not support modern data analytics tools
...
Data Retrieval The process can be broken down into several key components: Data Sources: Identifying where data resides, such as
databases, data warehouses, or external APIs
...Risk
Management: Data retrieval helps in identifying potential risks and opportunities, enabling businesses to mitigate risks proactively
...SQL Queries Structured Query Language (SQL) is used to retrieve data from
relational databases
...APIs Application Programming Interfaces (APIs) allow for data retrieval from external
systems ...
System Systems play a critical role in enhancing decision-making, improving operational efficiency, and driving strategic initiatives within organizations
...following are the primary types of systems relevant to business analytics: Data
Management Systems
Database Management Systems (DBMS) Data Warehousing Systems Analytical Systems Business Intelligence (BI) Systems
...Data Storage Systems that store data in structured or unstructured formats, such as
relational databases or data lakes
...
Data Modeling Data modeling is a crucial aspect of business analytics and big data
management that involves creating a conceptual representation of data structures, relationships, and constraints
...This process helps organizations understand their data requirements and design
databases that effectively support their business operations
...well-structured data model allows for easier data retrieval, storage, and management, optimizing the performance of database
systems ...Business intelligence, reporting NoSQL Data Modeling Techniques tailored for non-
relational databases, focusing on data storage and retrieval
...
Data Architecture Data Storage: Techniques and technologies for storing data, including
databases and data lakes
...Data Flow: The movement of data between
systems and applications
...Common storage solutions include:
Relational Databases: Structured data storage using tables (e
...It involves: Data Quality
Management: Ensuring data is accurate, complete, and reliable
...
Architecture It encompasses various components, including data models,
databases, data warehouses, and the technologies that support them
...Data Governance: The
management of data availability, usability, integrity, and security within an organization
...Data Storage Technologies and
systems used to store data, including
relational databases and cloud storage
...
Eine Geschäftsidee ohne Eigenkaptial 
Wenn ohne Eigenkapital eine Geschäftsidee gestartet wird, ist die Planung besonders wichtig. Unter Eigenkapital zum Selbstständig machen versteht man die finanziellen Mittel zur Gründung eines Unternehmens. Wie macht man sich selbstständig ohne den Einsatz von Eigenkapital? Der Schritt in die Selbstständigkeit sollte gut überlegt sein ...
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