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How To Set Up Your Data Infrastructure In 2025 – Part 1

Seattle Data Guy

Planning out your data infrastructure in 2025 can feel wildly different than it did even five years ago. Everyone is talking about AI, chatbots, LLMs, vector databases, and whether your data stack is “AI-ready.” The ecosystem is louder, flashier, and more fragmented.

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Best Automation Tools In 2025 for Data Pipelines, Integrations, and More

Seattle Data Guy

RevOps teams want to streamline processes… Read more The post Best Automation Tools In 2025 for Data Pipelines, Integrations, and More appeared first on Seattle Data Guy. But automation isnt just for analytics.

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Data News — Week 25.02

Christophe Blefari

The Data News are here to stay, the format might vary during the year, but here we are for another year. We published videos about the Forward Data Conference, you can watch Hannes, DuckDB co-creator, keynote about Changing Large Tables. HNY 2025 ( credits ) Happy new year ✨ I wish you the best for 2025. Not really digest.

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From IC to Data Leader: Key Strategies for Managing and Growing Data Teams

Seattle Data Guy

There are plenty of statistics about the speed at which we are creating data in today’s modern world. On the flip side of all that data creation is a need to manage all of that data and thats where data teams come in.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Top 11 GenAI Powered Data Engineering Tools to Follow in 2025

Analytics Vidhya

What will data engineering look like in 2025? How will generative AI shape the tools and processes Data Engineers rely on today? As the field evolves, Data Engineers are stepping into a future where innovation and efficiency take center stage.

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What Is BigQuery And How Do You Load Data Into It?

Seattle Data Guy

If you work in data, then youve likely used BigQuery and youve likely used it without really thinking about how it operates under the hood. On the surface BigQuery is Google Clouds fully-managed, serverless data warehouse. appeared first on Seattle Data Guy. Its the Redshift of GCP except we like it a little more.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-driven decisions—without losing the value of human insight! But how do you implement these tools with confidence and ensure they complement human expertise rather than override it?

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.

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Drive Better Decision-Making with Data Storytelling

Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.