Semi Structured Data
Data Warehousing
Data Overview
Data Models
Data Architecture
Data Recognition
Operational Data
Utilizing Big Data for Business Intelligence
Extraction 
Extraction in the context of business analytics and
data mining refers to the process of retrieving relevant data from various sources to analyze and derive insights
...Data Extraction Data extraction can be categorized into several types based on the source and method of extraction:
Structured Data Extraction: Involves retrieving data from structured databases such as SQL databases, where data is organized in tables and predefined schemas
...Semi-Structured Data Extraction: Involves extracting data from semi-structured sources such as XML and JSON files, which contain organizational properties but do not conform to a rigid structure
...
Big Data (K)
Big
Data refers to the vast volumes of
structured and unstructured data that are generated every second from various sources, including social media, online transactions, sensors, and more
...Variety: The different types of data, including structured,
semi-structured, and unstructured data
...
Data Warehousing Data warehousing is a system used for reporting and data analysis, and is considered a core component of business intelligence
...Data Storage: The data warehouse stores historical data in a
structured format, often organized into fact and dimension tables
...Data Lake Data Structure Structured data, organized into tables Unstructured and
semi-structured data Purpose Business intelligence and reporting Data storage and exploration Users Business
...
Data Overview Data is a critical asset in the modern business landscape, serving as the foundation for analytics, decision-making, and strategic planning
...Types of Data Data can be categorized into several types, each serving different purposes in business analytics:
Structured Data: This type of data is organized in a predefined format, often in tables (e
...Semi-structured Data: This data type does not conform to a rigid structure but contains some organizational properties
...
Data Models Data models are essential frameworks used in business analytics and business intelligence to represent and organize data
...They provide a
structured way to understand and manipulate data, making it easier for businesses to derive insights and make informed decisions
...NoSQL Data Model NoSQL data models are designed for unstructured or
semi-structured data
...
Data Architecture Data architecture refers to the structural design of an organization's data assets
...They define how data is
structured, related, and stored
...NoSQL Databases: Non-relational storage for unstructured or
semi-structured data (e
...
Data Recognition Data Recognition refers to the process of identifying and interpreting patterns, trends, and insights from various forms of data
...Concepts in Data Recognition Data Types
Structured Data Unstructured Data
Semi-Structured Data Recognition Techniques Machine Learning Pattern Recognition Neural Networks
...
Operational Data Operational
data refers to the information that is generated and used in the daily operations of an organization
...analysis Data Structure Highly
structured Can be structured,
semi-structured, or unstructured Users Operational staff and managers Analysts and executives Challenges
...
Utilizing Big Data for Business Intelligence Big
Data refers to the vast volumes of
structured and unstructured data generated every day
...Variety: Encompasses the different types of data, including structured,
semi-structured, and unstructured data
...
Leveraging Big Data for Business Intelligence In the contemporary business landscape, big
data has emerged as a critical asset for organizations seeking to enhance their decision-making processes and improve operational efficiency
...Understanding Big Data Big data refers to the vast amounts of
structured and unstructured data generated by various sources, including social media, transaction records, sensors, and more
...Variety: The different types of data (structured, unstructured,
semi-structured)
...
Nebenberuflich (nebenbei) selbstständig m. guten Ideen 
Der Trend bei der Selbständigkeit ist auf gute Ideen zu setzen und dabei vieleich auch noch nebenberuflich zu starten - am besten mit einem guten Konzept ...
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