The FinOps Advantage: Aligning Data Teams with Financial Goals in Databricks Environments

Aligning technical operations with financial objectives is crucial yet challenging. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to unite data teams and finance for Databricks success. You will gain the knowledge and tools to create a FinOps framework that aligns your Databricks operations with your organization's financial goals. With Unravel's Data Actionability Platform, you can see deep insights into your cloud spending and make informed decisions that balance innovation with cost-efficiency.

Ep 4 - From Legacy to Cutting-Edge: Henry Schein One's Data Streaming Vision

Despite its value, legacy data can feel like a roadblock in a fast-paced digital world—Henry Schein One is clearing the path forward with real-time data streaming. In this episode, Chris Kapp, Software Architect at Henry Schein One (HS1), shares how his team modernizes data management to stay competitive and unlock real-time insights. You’ll learn about: Get ready to future-proof your data strategy with this must-listen episode for technology leaders facing scalability, governance, or integration challenges.

Unleashing AI's Full Potential: Hitachi Vantara to Help Solve the Data Challenge Using NVIDIA AI

Every article I read highlights the need for rapid adoption of AI, with emphasis on agentic and generative AI redefining the boundaries of data architectures. As organizations expand automation, personalization and real-time decision-making, they face a fundamental challenge: data gravity – especially to meet the demands of AI reasoning inference workloads – is pulling AI workloads toward storage, but disaggregated architectures struggle to keep pace with the need for rapid data access.

Make your business apps smarter with ThoughtSpot Embedded

In today’s digital economy, businesses aren’t just competing on products and services—they’re competing on insights and decisions. The ability to deliver real-time, contextual analytics within applications and portals isn’t just a nice to have; it’s a critical advantage. Your users expect instant access to insights without switching between tools, hunting for reports, or waiting for analysts to provide answers. This is where embedded AI-powered analytics comes in.

Providing Better Customer Experiences With The Help Of Cortex AI

Headquartered in Sydney, Domain Group is a leading Australian property marketplace. Its mission is to inspire confidence in life’s property decisions, and its property marketplace tools reach an average audience of 7 million Australians every month. A long-time Snowflake customer, Domain has started to work with Cortex Analyst in order to enable its staff to query its large data sets using natural language.

Data Ingestion Best Practices for 2025

After a decade immersed in the world of ETL (Extract, Transform, Load), I've witnessed firsthand the evolution of data ingestion. What was once a relatively straightforward process has become a complex, critical component of modern data pipelines. In the recent years, with the explosion of data sources and the ever-increasing demand for real-time insights, mastering data ingestion best practices in data engineering is paramount.