Learn all about data, straight from the mouths of the experts.

Learning how to think like a product manager to deliver better data products means moving beyond ticking off a list of features and focusing instead on the results those features deliver. In the end, it’s not about what you build, but what difference it makes.

Understanding three critical hurdles is essential for healthcare organizations aiming to transform raw data into improved patient care without compromising security or compliance. This article explores these core barriers and offers practical insights on how to overcome them to bring calm to the chaos of healthcare data projects.

A global pharmaceuticals company was struggling to turn their data into a strategic asset. Their legacy data warehouse environment was disconnected, hard to scale, and slow to deliver insights.

In this blog, we walk step-by-step through one case study of a hospital's data maturity, culminating in a guide to strategically adding resources to progress up the data pyramid as a provider.

Selecting the right CDC tool involves balancing your environment, latency, and scalability needs against team capabilities and budget in the context of your actual data workflows. Here's what's out there and how to choose.

Cleaning up a data model is a strategic investment in the reliability, performance, and trustworthiness of your data products, and it should be looked upon as much more than a technical exercise. By following best practices like trimming unused data, filtering dimensions, indexing keys, and optimizing high-cardinality fields, you can transform a sluggish, error-prone model into a streamlined engine for insight.

DI Squared, a leading data consultancy specializing in building reliable and scalable analytics ecosystems, today announced a strategic partnership with Astrato, a self-service cloud BI platform. Together, they aim to revolutionize how organizations access, analyze, and act on data across their enterprises.

Learn about key strategies for Qlik app development. The core elements of the Qlik development checklist are a programmatic way of breaking down tasks into manageable bites and checking your work to make sure it’s as thorough as it can be.

Change Data Capture (CDC) is a powerful technique that enables organizations to track and respond to changes in their data in real time, fueling everything from analytics pipelines to data replication. In this guide, we'll explore the core concepts, implementation strategies, and best practices for leveraging CDC to unlock the full potential of your data ecosystem.

In this post, we’ll quickly identify the key differences between Snowflake managed Iceberg tables, externally managed Iceberg tables, and where the emerging Snowflake Open Catalog fits.

Part of a three-part blog series exploring the capabilities, use cases, and future potential of the Qlik Ops Toolkit, an open-source framework developed collaboratively by DI Squared and Pupfish Analytics to streamline the administration and migration of Qlik environments.

Using federated queries is ideal for large-scale, highly structured data within enterprise warehouses, not random business unit data or loosely organized data silos. And that's where Starburst Galaxy proves its mettle.