Data Collection Frameworks for Data Professionals

Data Collection Frameworks for Data Professionals free download

Learn all about the Data Collection Frameworks and become a master Data professional

This comprehensive course is designed for professionals seeking advanced knowledge and practical skills in leveraging cutting-edge data analytics and infrastructure frameworks. The course covers a range of topics, from web and mobile analytics to real-time data streaming and observability, providing participants with a solid foundation for designing and implementing robust data solutions.

Course Structure:

1. Module 1: Foundations of Data Analytics

   • Overview of CRISP-DM and TDSP frameworks

   • Understanding the data lifecycle and key data processing stages

   • Practical applications and case studies

2. Module 2: Web and Mobile Analytics

   • In-depth exploration of Google Analytics and Adobe Analytics

   • Hands-on exercises for user behavior tracking and conversion analysis

   • Implementing analytics strategies for web and mobile applications

3. Module 3: User Engagement Analytics

   • Utilizing Mixpanel and Amplitude for user engagement analysis

   • A/B testing and cohort analysis techniques

   • Developing data-driven strategies for user retention

4. Module 4: Centralized Logging and Monitoring

   • Implementation of ELK Stack for centralized logging

   • Real-time log analysis using Splunk

   • Building custom dashboards for effective monitoring

5. Module 5: Real-Time Data Streaming Frameworks

   • Apache Kafka and its role in building data pipelines

   • Real-world applications of Apache Flink in stream processing

   • Designing scalable and fault-tolerant streaming architectures

6. Module 6: Cloud-Based Data Collection

   • AWS Kinesis and Google Cloud Pub/Sub for cloud-based data streaming

   • Scalability considerations in cloud-based data solutions

   • Integration with other cloud services for end-to-end data processing

7. Module 7: Observability Frameworks

   • Introduction to Prometheus for monitoring and alerting

   • Creating interactive dashboards with Grafana

   • Best practices for achieving comprehensive system observability