Network Database
Security
Data Mining Strategies
Data Security
Data Mining Techniques for Big Data
Data Security
Data Mining Essentials
Data Mining Techniques for Trend Analysis
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
...1960s: Introduction of database systems like
network databases and relational databases
...
Security Data Masking Obscuring specific data within a
database to protect it while retaining its usability for testing or analysis
...Network Security Measures taken to protect the integrity and usability of network and data, including firewalls and intrusion detection systems
...
Data Mining Strategies It involves using various techniques from statistics, machine learning, and
database systems to extract valuable information that can help businesses make informed decisions
...Market segmentation, social
network analysis Regression Predicts a continuous-valued attribute associated with an object
...
Data Security SSL/TLS, AES encryption Data Masking Obscures specific data within a
database to protect it from unauthorized access
...Cloud backups, On-premises backups
Network Security Protects the integrity and usability of network and data
...
Data Mining Techniques for Big Data It combines techniques from statistics, machine learning, and
database systems to analyze data and generate actionable insights
...Market segmentation, social
network analysis
...
Data Security Data Masking Obscures specific data within a
database so that it can be used for testing or analysis without exposing sensitive information
...Firewalls Acts as a barrier between a trusted internal
network and untrusted external networks, filtering incoming and outgoing traffic based on security rules
...
Data Mining Essentials This process employs various techniques from statistics, machine learning, and
database systems to identify patterns and trends that can inform decision-making
...Market segmentation, social
network analysis Regression Predicting a continuous outcome based on input variables
...
Data Mining Techniques for Trend Analysis process of discovering patterns in large data sets through methods at the intersection of machine learning, statistics, and
database systems
...Market segmentation, social
network analysis Regression Analysis A statistical process for estimating the relationships among variables
...
Big Data Frameworks throughput, Scalability Data integration, Real-time data pipelines Apache Cassandra NoSQL
Database High availability, Scalability, Decentralized Real-time analytics, IoT applications Key Features of Major Big Data Frameworks Each
...Telecommunications:
Network performance monitoring and customer churn prediction
...
Data Mining Techniques for Business Insights It combines techniques from statistics, machine learning, and
database systems to transform raw data into actionable insights
...Market segmentation, social
network analysis, organization of computing clusters Association Rule Learning Finding interesting relationships (associations) between variables in large databases
...
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