A DataOps Observability Dialogue: Empowering DevOps for Data Teams

A DataOps Observability Dialogue: Empowering DevOps for Data Teams It used to be said that software is eating the world, but now data is running things. And it’s high-functioning data teams who make it all happen. But data teams are facing several obstacles that prevent them from delivering innovative analytics at today’s increased speed and scale. Software teams have been facing the same challenges for 10+ years and have tackled them with DevOps. So why are DataOps teams struggling when DevOps teams aren’t? They’re using the same tools to solve basically the same problem. . . .

10 Customer Success Tools That Work Well For Ecommerce Businesses

Customer service has always been the underdog that significantly affects a business’s performance but is always overlooked due to a lack of time and resources. While businesses focused on generating more revenue, they missed an important contributor to that revenue- a positive customer experience. Using the customer’s perspective to stay aligned with the evolving customer needs is essential for your business to foster a customer-centric culture.

Breaking State and Local Data Silos with Modern Data Architectures

Data is the fuel that drives government, enables transparency, and powers citizen services. But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good.

6 Signs Your Analytics Dashboard is Outdated

From performance metrics to resource allocation to customer feedback, there is a lot of important data for businesses to track today, and it can be difficult to measure it all - but with the right dashboard in place, collating such data for everyone to see is much easier. However, if your dashboard analytics is outdated or otherwise not updated fast enough, you may not be able to provide accurate data about your company's performance at all.

Iguazio Product Update: Optimize Your ML Workload Costs with AWS EC2 Spot Instances

Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances. When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it on AWS EC2 Spot compute instances.

The Snowballing of Connected Data Apps

If you’ve been following commentary on the modern data stack recently, you may have noticed the tent’s steadily getting bigger. There also appears to be a growing ecosystem of companies that are beginning to take the next step, going from what a modern data stack can look like, to now internalizing this concept in their very own product solutions.