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December 4 at 11 a.m. PT / 2 p.m. ET Six-month data migration timelines. Projects on hold. Costs climbing. What if you could test your migration in parallel with production? Roll back mistakes without losing work? Compress months into weeks? Join us December 4 to see how Matterbeam makes
The Challenge Your data engineering team wants to empower every team with reliable data access, giving them the data they need, when they need it, without friction. Instead, they’re writing custom pipelines for every data request. Sales needs customer data in a new CRM. Marketing wants campaign attribution. Product
Matterbeam goes against the data industry's complexity addiction. We built it to let small companies access sophisticated data integration without enterprise budgets. You're not locked into decisions. Time is on your side. Transform and emit data fearlessly as new use cases arise.
Welcome to Data Made Easy. This series explores how forward-thinking teams are solving data challenges and turning complexity into agility. These stories show data doesn’t have to be this hard. The Challenge Your reps are in front of customers ready to close, but the real-time data they need is
Around 2015, I was leading an extraordinary architecture team in an effort to decompose Pluralsight’s monolithic application into distributed services. The system exhibited classic tight coupling symptoms: changes cascaded unpredictably into other components, deployment required coordinated release windows across multiple teams, and specific engineers became single points of failure
A conversation with Galen Schreck, fractional CTO and enterprise architect, about the real challenges of working with Salesforce data and what needs to change. There’s a conversation that happens in almost every company using Salesforce: Sales team: “We need all our customer engagement data in Salesforce so we can
"Can I just get the data? Can I just get a dump? Can I please just connect to the database?" If you've worked in data in any organization for more than five minutes, you've heard this plea. Usually it comes from someone who just
Stop chasing tools and focus on business value. You've heard it a thousand times. So has every data team. We nod, agree, and then... buy another tool. Why? Because the tool obsession is a symptom of something deeper. We don't need better discipline. We need a better way.
Data doesn't work in companies, I think everyone feels this on some level. One reason I've heard repeated is that it's a people problem, a lack of data culture and data literacy. Companies spend millions on training programs, hire Chief Data Officers, bring in
