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Modern data architectures.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Data structures (Computer science).
- Big data.
- Physical Description:
- 1 online resource (1 video file (1 hr., 20 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, 2026.
- Summary:
- In this comprehensive 1-hour course, explore the principles, components, strengths, and trade-offs of leading data architecture patterns. Compare approaches for batch and streaming processing, layered refinement, decentralized ownership, integration, governance, and security. What I will be able to do after this course Explain the role of data architecture in modern platforms Distinguish Lambda, Kappa, and Medallion patterns Compare Data Mesh, Data Fabric, and data warehouses Evaluate scalability, governance, and security trade-offs Select architecture patterns for specific data needs Course Instructor(s) The instructor presents modern data architecture through accessible explanations, practical comparisons, and real-world scenarios focused on scalable, governed data platforms. Who is it for? Designed for data engineers, data architects, analysts, IT professionals, business leaders, and anyone interested in building or improving data platforms.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781808653551
- OCLC:
- 1608636471
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