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What's New In Data
The Modern Data Team with Abhi Sivasailam
Oct 24, 2022
In a captivating discussion, Abhi Sivasailam, a seasoned Growth & Analytics leader with experience at Flexport and Honeybook, explores the dynamics of modern data teams. He advocates for producer-defined models over consumer-led approaches, emphasizing collaboration to enhance data quality. Abhi highlights the importance of domain-driven design and aligning analytics with engineering to streamline processes. He also shares insights on eliminating arbitrary uniqueness in analytics engineering and the evolving landscape of the modern data stack.
31:12
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Quick takeaways
- Effective data contract adoption hinges on collaborative relationships between data producers and consumers to improve communication and manage expectations.
- Integrating roles like product analysts and analytics engineers into the data development process ensures data considerations are aligned with product functionalities from the outset.
Deep dives
The Socio-Technical Nature of Data Contracts
Data contracts are considered essential for maintaining data quality and reliability, but they present significant socio-technical challenges. It's noted that while technical implementations of data contracts can vary widely, the underlying socio-technical processes are often overlooked. Successful data contract adoption relies heavily on collaboration between data producers and consumers rather than purely focusing on technical solutions. Acknowledging this socio aspect ensures that changes in data contracts are effectively communicated and managed throughout the organization.
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Discover
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