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Data Engineering Fundamentals
Learn to design, build, and manage data infrastructure, including databases and large-scale processing systems.
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Language: English
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What you will learn
Gain a comprehensive understanding of scalable data processing systems in English
Learn fundamental principles of database design in an easy-to-understand language
Master data modeling techniques in English, making complex concepts more approachable
Understand infrastructure security best practices in a global language, English
Learn about fault tolerance and resilience in data systems in English for better global communication
Gain knowledge of distributed computing in English, opening opportunities for international collaboration
Understand scalability and performance in data systems in a language widely used in the tech industry
Learn to design and implement data processing pipelines in English
Improve your skills in database performance optimization in English, a language widely used in the IT sector
Gain an understanding of NoSQL database technologies in English, making it easier to collaborate on international projects
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Course Content
Data Infrastructure Design
Database Design Principles
Data Modeling Techniques
Scalable Data Processing Systems
Introduction to Scalable Data ProcessingIntroduction to Scalable Data Processing
Distributed Computing PrinciplesDistributed Computing Principles
Big Data Technologies OverviewBig Data Technologies Overview
Designing Scalable Data PipelinesDesigning Scalable Data Pipelines
Infrastructure Security Best Practices
Threat Modeling & Risk AssessmentThreat Modeling & Risk Assessment
Access Control & AuthenticationAccess Control & Authentication
Data Encryption & IntegrityData Encryption & Integrity
Incident Response & Disaster RecoveryIncident Response & Disaster Recovery
Database Management
Relational Database Fundamentals
Introduction to Relational DatabasesIntroduction to Relational Databases
Entity-Relationship ModelingEntity-Relationship Modeling
Normalization TechniquesNormalization Techniques
SQL FundamentalsSQL Fundamentals
NoSQL Database Technologies
Introduction to NoSQLIntroduction to NoSQL
Key-Value StoresKey-Value Stores
Document-Oriented DatabasesDocument-Oriented Databases
Column-Family DatabasesColumn-Family Databases
Data Modeling and Design
Introduction to Data ModelingIntroduction to Data Modeling
Entity-Relationship DiagramsEntity-Relationship Diagrams
Normalization TechniquesNormalization Techniques
Database Performance Optimization
Indexing StrategiesIndexing Strategies
Query OptimizationQuery Optimization
Performance TuningPerformance Tuning
Large-Scale Processing Systems
Data Processing Pipelines
Introduction to Data Processing PipelinesIntroduction to Data Processing Pipelines
Building Efficient Data PipelinesBuilding Efficient Data Pipelines
Monitoring and Managing Data PipelinesMonitoring and Managing Data Pipelines
Distributed Computing
Introduction to Distributed ComputingIntroduction to Distributed Computing
Distributed Storage SystemsDistributed Storage Systems
Parallel Processing TechniquesParallel Processing Techniques
Fault Tolerance in Distributed SystemsFault Tolerance in Distributed Systems
Scalability and Performance
Understanding ScalabilityUnderstanding Scalability
Performance Optimization TechniquesPerformance Optimization Techniques
Load Balancing StrategiesLoad Balancing Strategies
Monitoring and TroubleshootingMonitoring and Troubleshooting
Fault Tolerance and Resilience
Introduction to Fault ToleranceIntroduction to Fault Tolerance
Strategies for ResilienceStrategies for Resilience
Handling Failures in SystemsHandling Failures in Systems
Testing Fault ToleranceTesting Fault Tolerance
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