This is the second part of the Snowflake series that discusses how Snowflake approaches monetisation, its limitations and puts forth the strategy to leverage data products atop Snowflake for improved data sharing, monetisation, and UX.

Jan Meskens discusses the limitations of relying solely on technology for successful data projects. He argues that many organizations invest in advanced data platforms only to find that the platform doesn’t address the underlying issues, such as inefficient data team structures, bureaucratic processes, and a lack of data literacy.

Sven Balnojan PHD emphasizes the effective use of data in decision-making, contrasting modern data overload with historical strategic use by figures like Sun Tzu. He talks about four key rules: invest heavily in acquiring data, focus on getting the right data, use data to expand options, and finally, make quick decisions. He stresses that data should provide options rather than definitive answers.

Juha joins Joe Reis to discuss the power of conceptual data modeling, why the data modeling world is broken today, data products, and much more.

In the latest episode of the Women in Data Podcast, Karen Jean-Francois and Cecilia Oliveira delve into frequent challenges in data analytics and mitigation strategies. They discuss everything from comprehending requests and validating data accuracy to documenting workflows and delivering consistent updates in detail.

Andy Sawyer discusses various data warehouse modelling approaches to optimize data analysis and querying. He begins by highlighting the limitation of transactional databases for analytics and introduces data warehouses as a solution.

Samir Sharma talks to Saurabh Gupta on the latest episode of The Data Strategy Show. They shared views about the alignment of data strategy with business goals, having a key executive sponsor, and the ability to deliver value in a short span. Saurabh also shared his views about the data strategy in zero-budget, with a focus on productization and software practices.

In the latest episode of the Data Engineering Podcast, Tobias Macey speaks with Nicola Aksham. In the episode, Aksham talks about the practical steps of building out a data governance practice within the organization. She also shared about her career choices and how she transitioned into data governance by accident.

In this session, you can explore how DevOps principles transform Tableau management, along with insights, live Q&A, and cool tips on automation and better dashboards!

In the latest blog post of The Seattle Data Guy, Benjamin Rogojan talked about various data modelling techniques used by companies to capture and analyze data for business insights. He focused on methods like Slowly Changing Dimension [SCD], particularly Type 2, which tracks changes over time by inserting new rows.

Torsten Walbaum shares ten key lessons learned from working in data analytics roles at companies like Uber, Meta, and various startups. The insights include the importance of storytelling with data, developing strong business acumen, maintaining objectivity, combining data with primary research, and being sceptical of overly positive data.

This article walks us through the benefits of building data products with existing Snowflake to optimise the costs and the step-wise guide to doing so for effective monetisation of data and improved business outcomes.

Learn how continuous integration and continuous deployment on tools like airflow is doomed to fail in the long-run.

In this episode, Benny discusses why many data transformation projects fail and shares insights on delivering value through data products.

This episode explores data contracts, challenges in data collaboration, and building trust in data quality with Chad Sanderson of Convoy and Prukalpa Sankar of Atlan.

In this session, David along with the co-speakers engage in a conversation around the classic individual contributor vs manager conundrum, migrating between warehouses, and reactive vs proactive data workflows.

This article discusses how Github can be your best friend, helping you focus on content and not fluff with EDA, dashboards, funnels & full-stack work.

Solmaz Shahalizadeh, former VP of Shopify, provides fifteen tips to enhance a startup’s data strategy. She emphasizes the importance of building a strong data infrastructure, collecting and unifying relevant data, and enabling teams to interact with data independently.

Wannes Rosiers discusses the rationale behind imec’s decision to buy rather than build their own data platform. He highlights the different perspectives of business, IT, and governance teams in such decisions and explains how imec's R&D and IT departments prefer purchasing modular tools to avoid reinventing the wheel.

In this session, Donabel guides users through essential concepts and practical exercises, focusing on creating impactful visualizations and interactive dashboards, along with the bootcamp-style format, which emphasizes hands-on learning, making it ideal for both beginners and intermediate users aiming to enhance their data storytelling skills.

Barr Moses discusses the evolution of data quality management in the context of the increasing importance of data and AI. She compares three methodologies: data testing, data monitoring, and data observability.

This session delves into pivotal moments in Shachar's career, highlighting lessons learned and strategies for personal and professional growth in data engineering.

This article talks about the importance of interoperability and focuses on the integration of tools like dbt alongside David’s experiences in building data stacks at his org, highlighting the value of open-source solutions for creating resilient and interoperable systems.

Benn Stancil discusses the common journey of data tool companies, highlighting how they start with innovative, customized solutions but often end up becoming traditional business intelligence tools due to market demands and investor pressures. He emphasizes that despite initial intentions to remain unique, these companies inevitably add features like dashboards and drag-and-drop visualizations to appeal to a broader audience.