The Reliable Data Platform Framework: Engineering Data Platforms That Last
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Most data platforms are built to work. Few are built to last.
Organisations invest heavily in cloud technologies, analytics platforms, and modern data architectures, yet many still struggle with fragile pipelines, silent failures, inconsistent data quality, and constant operational firefighting. The result is a loss of trust in data and increasing business risk.
Join Attia Elsayed for the launch of his new book, The Reliable Data Platform Framework: Engineering Reliable Data Pipelines and Trusted Data Products, where he introduces a practical framework for designing and operating data platforms that can consistently deliver value and reliability over the long term.
Drawing on more than two decades of enterprise data leadership experience, Attia shares the principles, patterns, and engineering disciplines required to build resilient data ecosystems that can run for 1,000 days without failure.
In this session, attendees will learn:
- Why many modern data platforms fail despite significant technology investments
- The core pillars of the Reliable Data Platform Framework (RDPF)
- How to design data pipelines that are observable, recoverable, scalable, testable, and resilient
- The role of data quality, data contracts, monitoring, automation, and governance in platform reliability
- Practical approaches for reducing operational incidents and increasing trust in data products
- How organisations can move from reactive firefighting to proactive reliability engineering
Whether you are a Data Engineer, Data Architect, Analytics Engineer, Data Leader, Platform Engineer, or Data Governance professional, this webinar will provide actionable guidance for creating trusted data products and sustainable data platforms that support confident business decision-making.
š Bonus Prize: One lucky attendee will win a copy of The Reliable Data Platform Framework.
Sponsored by Technics Publications and Modelware Systems