Distributed Data Architecture
Data Design
Data Warehousing
Trends in Analysis
Future Trends in Data Mining Technology
Machine Learning Techniques for Data Analysis
Data Design 
Data Design refers to the process of defining the
architecture, structure, and organization of data within a system
...employ various data architecture frameworks, such as: Enterprise Data Architecture Cloud Data Architecture
Distributed Data Architecture Data Governance Data governance involves establishing policies and procedures to ensure the quality, privacy, and security of data
...
Data Warehousing Data warehousing is a system used for reporting and data analysis, and is considered a core component of business intelligence
...Architecture The architecture of a data warehouse can be categorized into three main layers: Layer Description Data Source Layer This layer includes all the data sources from which data is collected, such as operational databases, CRM systems,
...Data scientists and engineers Technology SQL-based relational databases NoSQL and
distributed file systems Challenges in Data Warehousing Data Integration: Combining data from disparate sources can be complex and time-consuming
...
Trends in Analysis Trends in analysis refer to the evolving methodologies, tools, and practices in the field of
data analysis
...Event-Driven
Architecture: Systems that respond to events in real-time
...Distributed Computing: Using multiple computers to process data simultaneously
...
Future Trends in Data Mining Technology Data mining technology has evolved significantly over the years, transforming the way businesses analyze and interpret vast amounts of data
...Big Data Technology Description Use Case Apache Hadoop A framework for
distributed storage and processing of large datasets
...Event-Driven
Architecture: Designing systems that react to events in real-time, improving responsiveness
...
Machine Learning Techniques for Data Analysis Machine Learning (ML) has emerged as a pivotal tool in the field of
data analysis, enabling businesses to derive actionable insights from vast amounts of data
...Applications Image and speech recognition Natural language processing Autonomous vehicles Common
Architectures Architecture Description Convolutional Neural Networks (CNN) Specialized for processing grid-like data such as images
...t-
Distributed Stochastic Neighbor Embedding (t-SNE) A technique for visualizing high-dimensional data by reducing it to two or three dimensions
...
Geschäftsiee Selbstläufer 
Der Start in die eigene Selbständigkeit beginnt mit einer Geschäftsidee u.zw. weit vor der Gründung des Unternehmens. Ein gute Geschäftsidee mit neuartigen Ideen und weiteren positiven Eigenschaften wird zur
"Selbstläufer Geschäftsidee". Hier braucht es dann nicht mehr viel, bis ein grosser Erfolg entsteht ...
Deutsch
Österreich
Italiano
English
Français
Español
Nederlands
Português
Polski
