Mike Ferguson presented his session Data Observability - What is it and why is it important? during the Data Warehousing & BI Summit in April this year, where he discussed the emergence of Data Observability and looked at what it is about, what Data Observability can observe, vendors in the market and examples of what vendors are capturing about data. In this follow-up interview, Mike Ferguson tells how Data Observability differs from traditional approaches to data quality, and monitoring and fits into the broader landscape of data management.
Chapters:
00:00 Introduction
00:22 1. Can you define what is meant by Data Observability, and how it differs from traditional approaches to data quality and monitoring?
02:13 2. What are some of the most important features Data Observability tooling provides?
05:34 3. Why is Data Observability becoming increasingly important?
07:21 4. How does Data Observability fit into the broader landscape of data management?
09:31 5. What do you see as the biggest challenges when implementing Data Observability?
Mike Ferguson is Managing Director of Intelligent Business Strategies Limited. As an analyst and consultant he specialises in Business Intelligencem, analytics, data management, big data and enterprise business integration. With over 40 years of IT experience, Mike has consulted for dozens of companies on Business Intelligence strategy, technology selection, enterprise architecture, and data management.
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