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Sanjeev Mohan

Principal at SanjMo | Former Gartner Research VP, Data & Analytics | Author | Podcast Host | Medium Blogger

30+ years in data from dBASE to Big Data. Expert in risk management, Apache Spark, Kafka. Seasoned speaker, strategist, Berkeley-trained, ex-Gartner VP Analyst.

Talks about

Data leader Sanjeev champions "Data Products" through podcasts and blogs, discussing GenAI, modern data stack, and data governance. Recognized expert in cloud, big data, and analytics.

data strategy

data products

data mesh

big data

data management

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Data Product Expert

Analytics Expert

Top Voice

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Former Forbes Council Member

Mohan Has been a Forbes Council Member

Renowned Speaker

Sanjeev is a sought-after speaker

Co-author

Co-authored Data Products for Dummies.

Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering

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May 15

Distributed SQL’s Moment Has Arrived: How TiDB Is Leading the Way

Sanjeev Mohan discusses the rise of distributed SQL databases, highlighting Amazon's Aurora DSQL announcement as a validation of this category. He emphasizes that distributed SQL has been crucial for demanding workloads for years.

Data Engineering

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Dec 1

Demystifying AI Agents: Frequently Asked Questions (FAQ)

Sanjeev Mohan takes us into the world of AI agents, explaining their concept, types, and development lifecycle. He discusses how AI agents differ from chatbots and assistants, focusing on their ability to automate complex tasks and reason through problems. He emphasises the need for human oversight and evaluation to ensure ethical and reliable AI agent deployment.

Data Engineering

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May 19

From Strategy to Action: The Essential Guide to AI Implementation

This is a two-part brief to lay out the blueprint for ensuring a successful AI journey.

Data Engineering

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May 4

AI / ML State and Future

Demetrios Brinkmann has a fun and unique job of building a community of AI and ML professionals and keeping us all up-to-date with the latest and greatest developments in this space. He runs a thriving network called the MLOps Community.

Data Architecture

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Apr 30

Untangling the Streaming Landscape: The Rise of Unified Real-time Platforms

In this research, we go deeper into the essential capabilities of a URP and how it differentiates from event stream processing (ESP) platforms, streaming DBMSs, and stream-enabled analytical DBMSs.

Data Architecture

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Jan 8

Unified Real-Time Platforms

Exploring Unified Real-Time Platforms: A comprehensive guide to handling demanding streaming data and data at rest, integrating elements of ESP platforms and real-time data management for complex analytics and low-latency applications.

Data Product

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Nov 8

GraphQL for Data Products

The promise of using a chatbot to derive data insights threatens the decades-old dominance of business intelligence reports and dashboards.

Data Product

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Mar 16

What Exactly is a Data Product?

ChatGPT has taken the world by a storm because of how eloquently it answers our questions and the outstanding experience it provides for users.

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Sanjeev Mohan

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