We all want fast, accurate, and cost-effective data insights. But when it comes to updating your large tables of historical data, the way you choose to add new information can drastically impact your bottom line and reporting speed. Imagine your data warehouse is a detailed customer ledger that tracks every single sale, transaction, and interaction.
When I first started learning about data engineering, I’ll be honest — I was overwhelmed. Everyone was throwing around terms like “pipelines,” “modeling,” and “data lakes,” and I was just trying to figure out what went where. However, the more I explored, the more one thing became clear: the impact of a data vault is
Migrating from legacy data warehouses to a modern cloud data platform can be daunting. The process is often complex, time-consuming, and resource-intensive — requiring teams to rewrite thousands of lines of SQL code and migrate business-critical assets without disrupting operations. Snowflake’s SnowConvert AI is designed to change that. Powered by Snowflake’s Cortex AI, this new
There’s a unique, painful sound every Salesforce admin knows: the groan of frustration when someone pulls a report and realizes half the accounts are duplicates. Suddenly, nothing makes sense. Sales teams are confused. Customers get duplicate outreach. Leadership starts by questioning every dashboard. You know what’s happening. The sneaky, silent villain of CRM success has
Okay, Marvel fans, let’s talk about Tony Stark. Genius, billionaire, playboy, philanthropist… and imperfect. My seven-year-old Marvel-obsessed son (whose room, by the way, is a shrine to all things superhero — thanks, targeted advertising!) and I were watching a video the other day about Iron Man, and it struck me: Tony didn’t build his suit
As 2024 draws to a close, it’s time to reflect on the whirlwind of change and innovation that swept through the financial services industry. From the rise of generative and autonomous AI to the ongoing quest for deeper customer relationships, this year has been a dynamic one. In this final blog post of 2024, I
As businesses diversify the systems they use to get work done, “data strategy” is a phrase thrown around a lot in the consulting industry. But what does it mean in today’s business context? While specialized technology exists to accomplish specific tasks, data strategy concepts encourage a systematic approach to building and maintaining data storage standards
dbt Labs deeply cares about its community, and I felt that at this year’s Coalesce Conference. It’s clear in how they recognize community members, continue to invest in dbt core, and host a delightful event. There was a diverse mix of geographies, roles, and backgrounds represented, all with a shared interest in dbt and how
To stay competitive, organizations today need more than basic data management — they need actionable insights. Together, Salesforce Data Cloud and CRM Analytics provide an integrated solution that brings customer data to life. This powerful combination allows you to unify and harmonize your customer data from disparate sources and surface those insights within the flow
With the explosion in data and analytics demand, organizations are reaching the limits of their existing data platforms. Even cloud-based platforms like Azure SQL, while an improvement over on-premises technologies, are unable to provide the scalability, performance, and elasticity needed to enable a modern analytics capability. To meet this challenge, data leaders are migrating to