Building Star Governance Teams, Roles & Responsibilities, Impact Overview, Tech Enablers, Best Practices, and more!

Tiankai Feng

,

 and

Vivek Dubey

,

 and

,

 and

Avoiding Compounding Costs, Multiplying Impact of AI Initiatives, Mitigating Fatal or Hidden Risks, and Always Putting Data First 🥇

Michele Nieberding

,

 and

,

 and

,

 and

All things Modern Data, Community Initiatives, and New Resources!

Modern Data 101

,

 and

,

 and

,

 and

Where AI Augments the Data Product Lifecycle, The Significance of User Experience, and The Ability to Focus on Advanced Verticals with Less Resources at Hand

Brij Mohan Singh

,

 and

Ritwika Chowdhury

,

 and

Rakesh Vishvakarma

,

 and

Concrete Step-by-Step Journey, Debunking Confusion and Dilution, and Importance of Social / Cultural Structures

Animesh Kumar

,

 and

Travis Thompson

,

 and

,

 and

Value Evaluation Model, Calculation Functions, Product Remediation, and more!

Francesco De Cassai

,

 and

,

 and

,

 and

Bare-bone Purpose & Key Components of the Semantic Layer, The Data Product Divergence and Impact, and Driving Business Value at Scale.

Frances O'Rafferty

,

 and

,

 and

,

 and

Common Anti-Patterns, the Most Immediate Alternatives, and Existing Stack Boosters.

Hugo Lu

,

 and

Vivek Dubey

,

 and

,

 and

Are you building your LLMs wrong? Bring in the semantics layer as the cushioning interface for the LLM.

Animesh Kumar

,

 and

,

 and

,

 and

Ritwika Chowdhury

Part 3 of the Series on Leveraging Your Existing Stacks/Tools to Build Data Products

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Trustworthy Doesn't Mean Certified: The Different Degrees of Trust in a Data Mesh

Francesco De Cassai

,

 and

Modern Data 101

,

 and

,

 and

The pangs of usage analytics, purpose-driven and measurable solutions, and a direct bridge between data and business like never before!

Shubhanshu Jain

,

 and

Soumadip De

,

 and

Ritwika Chowdhury

,

 and

Part 2 on Leveraging Existing Stacks by Optimising the Three Forks of Business: Cost Savings, Monetisation, and Experience of Data Citizens

Animesh Kumar

,

 and

Dr. Balaji Muthusubramanian

,

 and

Samadrita Ghosh

,

 and

Optimising Snowflake Cost, Integrating Snowflake Sources, and Driving Faster Bus

Animesh Kumar

,

 and

Dr. Balaji Muthusubramanian

,

 and

Samadrita Ghosh

,

 and

Need to Shift Right, Federated Governance Fundamentals, & Resolving Policy Confl

Charlotte Ledoux

,

 and

Vivek Dubey

,

 and

Modern Data 101

,

 and

Recipe for a "Secret Sauce", Centralised Data Platforms, and the Before and Afte

Michele Nieberding

,

 and

Modern Data 101

,

 and

,

 and

Thinking of Building Your Own Data Developer Platform? Here's a note from platfo

Travis Thompson

,

 and

Modern Data 101

,

 and

,

 and

Semantic Mistrust, The Reliable Semantic Stack, Data APIs & Products

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Purpose-Driven Capability of Data Products to Generate Revenue Streams

Shubhanshu Jain

,

 and

Ritwika Chowdhury

,

 and

,

 and

All things Data Products, Impactful Approaches, Community Perspectives, and New

Modern Data 101

,

 and

,

 and

,

 and

Women In Data: Building Today, Shaping Tomorrow!

Modern Data 101

,

 and

,

 and

,

 and

The power of simplicity and building it as an experience for all your data citiz

Animesh Kumar

,

 and

Shubhanshu Jain

,

 and

Samadrita Ghosh

,

 and

Non-Disruptive Management Of The Evolving Landscape Of Data Products: Part 2

Ayush Sharma

,

 and

Modern Data 101

,

 and

,

 and

Have faith in data products after consistent research? Here's one way to bring y

Bhava Kompala

,

 and

Animesh Kumar

,

 and

,

 and

Collection of our Top Resources, from Strategy to Data Product Evolution, and mo

Modern Data 101

,

 and

,

 and

,

 and

Conversations, Innovations, Milestones, and More!

Modern Data 101

,

 and

,

 and

,

 and

4D Architectures, Data-Driven Routing, Feature Toggles, and more!

Travis Thompson

,

 and

Animesh Kumar

,

 and

,

 and

AI Applications as Consumers, Data as a Product for Fuel

Abhyudai Verma

,

 and

Modern Data 101

,

 and

,

 and

Software for Data, Community Conversations, Upcoming Events, and more!

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Foundational Laws, Independent Papers, and Gripping Design Recipes

Animesh Kumar

,

 and

Swami Achari

,

 and

,

 and

The Data Product Manager, Product Strategies, and the Pointless War on Definitio

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Proven Models, Metric Model as a reflection, and Metric Model Enablement

Animesh Kumar

,

 and

Travis Thompson

,

 and

Samadrita Ghosh

,

 and

Trajectories of Big Players in Data and the Open Data Infrastructure Specificati

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Designing Data Products without Collateral Damage

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Data Infrastructure in the context of Data Products

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Experiencing the Data Infrastructure as a Product

Animesh Kumar

,

 and

Travis Thompson

,

 and

,

 and

Short Answer: Yes. Read on for the long version

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Design, Approach, and Experience

Animesh Kumar

,

 and

Travis Thompson

,

 and

,

 and

From the perspectives of Business, Technology, and Product

Animesh Kumar

,

 and

Travis Thompson

,

 and

Srujan Akula

,

 and

DDP value in context of data design patterns, fundamental principles, and core p

Animesh Kumar

,

 and

Travis Thompson

,

 and

,

 and

Challenges of the prevalent data value chain and transforming it with a Data-Fir

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Current data challenges, potential solutions, and lame gifs 🫣

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Agile Data Mindset, Data Modeling, and Data Debt Dissolution

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

The four horsemen of data debt, generational changes, and potential solutions

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

The Data Product Quantum, the Contractual Landscape, and Right-to-Left Data Mode

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Existing Challenges, Solutions, and Proposed Data Flow

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

We are talking about data products, so of course we should speak about metrics

Timo Dechau

,

 and

Modern Data 101

,

 and

,

 and

Key Components, Recommended Tools, and Fundamental Development Concepts

Bruno Gonzalez

,

 and

Modern Data 101

,

 and

,

 and

Metric-Targeting, Semantic Engineering, Model Validation, and More.

Animesh Kumar

,

 and

Shubhanshu Jain

,

 and

Samadrita Ghosh

,

 and

Advanced SLOs, Feedback Loops, Optimised Data Product, and more!

Animesh Kumar

,

 and

Manisha Jain

,

 and

Samadrita Ghosh

,

 and

Nikhil Singh

Doubling down on the power of Unified Experiences

Manisha Jain

,

 and

Animesh Kumar

,

 and

Shubhanshu Jain

,

 and

Samadrita Ghosh

Lifecycles, Fundamental Anatomy, and Value for Aspiring Metric-Driven Orgs

Modern Data 101

,

 and

Animesh Kumar

,

 and

,

 and

As Implemented by Data Developer Platforms

Travis Thompson

,

 and

Animesh Kumar

,

 and

,

 and

Revamping Your Data Platforms: Embracing the ‘Composable’ Approach

Ritwika Chowdhury

,

 and

Modern Data 101

,

 and

,

 and

Non-Disruptive Management of the Evolving Landscape Of Data Products: Part 1

Ayush Sharma

,

 and

Modern Data 101

,

 and

,

 and

Purpose of every stage, end products, stakeholders (an approach not technology)

Bhava Kompala

,

 and

Animesh Kumar

,

 and

,

 and

State of the MDS, Aspirational GenAI Projects, Internet-Breaking Controversies

Swami Achari

,

 and

Modern Data 101

,

 and

,

 and

Demystifying the Blurry Boundaries of Data Products

Ayush Sharma

,

 and

,

 and

,

 and

Solving the persistent challenges of data modeling

Animesh Kumar

,

 and

Travis Thompson

,

 and

,

 and

Product Mindset, Bizarre Analogies, and Your Compact Canvas

Travis Thompson

,

 and

Modern Data 101

,

 and

,

 and

Double-edged outcome, alignment with Agile, and Impact

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Industry scenarios in 2024, community reviews, platform standards, and more!

Modern Data 101

,

 and

,

 and

,

 and

Traditional Data Stack → Modern Data Stack → Data-First Stack

Animesh Kumar

,

 and

Modern Data 101

,

 and

,

 and

Ingredients, Experience, Platform Abilities, and More!

Animesh Kumar

,

 and

Shubhanshu Jain

,

 and

Manish Agrawal

,

 and

Open Source Tools, All-in-One Control Planes, & Impact on Data Product Velocity

Hugo Lu

,

 and

Modern Data 101

,

 and

Vivek Dubey

,

 and

From Logical Modeling and Product Ideation to Data Product Improvement

Francesco De Cassai

,

 and

Modern Data 101

,

 and

,

 and

Community Highlights & Pivotal Pieces that Shaped the Data Contracts Journey

Animesh Kumar

,

 and

Abhi Sivasailam

,

 and

Amy Raygada

,

 and

Andrea Gioia

Purpose-driven data, metric dependency trees, product prototypes, and more!

Animesh Kumar

,

 and

Shubhanshu Jain

,

 and

Samadrita Ghosh

,

 and

Nikhil Singh