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Day 01: Introduction to Data Core Concepts 👶

Goals:

  • Understand the data landscape and core concepts.
  • Explore the significance of data operations and the role of data in driving business decisions.
  • Gain a comprehensive understanding of the data lifecycle and its implications for the business.

Overview:

Today's session is all about laying the foundation for your journey into the world of data operations. You'll explore the core concepts that underpin the modern data landscape, gaining insights into the intricacies of data management, processing, and analysis. The focus is on understanding the significance of data in driving business decisions and the pivotal role it plays in shaping the strategic direction of the organization.

⚠️ Note:

  • This is the first day of your journey into the world of data operations. Don't waste your time to go deep into the concepts, just try to understand the big picture and the main concepts.

1. Understanding the Data Landscape

Explore the following concepts by conducting web research to find real-world examples for each. Engage in a discussion with your mentor to deepen your understanding and clarify any questions you may have, maintaining a high-level perspective.

  1. 5V's of Big Data
  2. Structured vs Unstructured Data vs Semi-Structured Data
  3. ETL vs ELT
  4. NoSQL Databases vs SQL Databases
  5. OLAP vs OLTP
  6. Batch Processing vs Stream Processing
  7. Data Warehouse vs Data Lake
  8. Distributed File Systems
  9. Data Governance
  10. Data Visualization
  11. Data Analytics
  12. Data Ownership
  13. Data Quality
  14. CDC (Change Data Capture)
  15. Data Catalog
  16. Data Lifecycle Management
  17. Data Lineage
  18. Store First Approach
  19. Data Serialization
  20. Data Compression
  21. Scale out vs Scale up
  22. High Availability
  23. Master-Slave vs Masterless Architectures
  24. Apache Data Stack

Wrapping Up:

Reflection

Take a moment to reflect on what you've learned:

  • Note down key takeaways and any questions or uncertainties you have.

Mentor Discussion

Discuss the following with your mentor:

  • Clarify concepts you're unsure about.
  • Share your findings and understanding.
  • Discuss real-world applications and implications for your work.

Q&A Session 🙋

Engage in an open Q&A session with your mentor to address any queries or discussions about specific tools, technologies, or practices.

Action Items

  • Identify areas for deeper exploration.
  • Get recommendations on resources for further learning.

Ready for a Challenge? 🏆

  • We at 883 like challenges, understaing all this new buzz words is not easy, so you're encouraged to write down every concept from Understanding the Data Landscape and evaluate at the end of every chapter for 5 minutes which concept it relates to Challege Accepted
  • This will help you to understand the concepts better and relate them to real-world scenarios.

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