Demo: Unravel Data - Map Your Workloads to the Cloud (and Calculate Costs)

When a data team is migrating applications to the cloud, they’ll need to anticipate how many resources those apps will consume. This can often take a DataOps teams into unfamiliar territory since on-prem applications are assessed very differently from a utilization standpoint. This information is critical to inform the cloud architecture - and to anticipate the total cost of ownership for the cloud migration.

Unravel: DataOps Observability Designed for Data Teams

Today every company is a data company. And even with all the great new data systems and technologies, it’s people—data teams—who unlock the power of data to drive business value. But today’s data teams are getting bogged down. They’re struggling to keep pace with the increased volume, velocity, variety, complexity—and cost—of the modern data stack. That’s where Unravel DataOps observability comes in. Designed specifically for data teams, Unravel gives you the observability, AI, and automation to help you understand, optimize and govern your data estate—for performance, cost, and quality.

Demo: Unravel Data - Preparing for Cloud Migration with Automated Cluster Discovery

One of the first steps of any cloud migration is creating an inventory of the applications and services that are currently being used. Today, that involves a lot of manual interviews with people from across the business to understand the needs behind each cluster. This process, as you can imagine, is incredibly prone to errors and miscommunications that can negatively impact migration planning efforts.

Demo: Unravel Data - How to Avoid Tuning & Replatforming Delays

How can your DataOps team anticipate bottlenecks that might occur during a cloud migration? One of the most common issues is version incompatibilities. On prem environments tend to run older instances of applications (vs. newer cloud environments) - which means that your team will need to consider any incompatible code before migrating.

2023 CDP Platform Guide: What to Look for in a Customer Data Platform and Our Favorite CDPs

The better you understand your customers, the better you can optimize and focus your marketing and products. This is where a customer data platform (CDP platform) can help. A CDP platform automates the process of aggregating and analyzing historical and real-time customer data from the widest variety of sources. Then it transforms that data into accurate and actionable business insights.

Cost of Data Warehousing: Conventional Wisdom Versus Reality

This is a guest post with exclusive content by Bill Inmon. Bill Inmon is a prominent American computer scientist and prolific author, recognized by many as the father of data warehousing. Inmon has written over 60 books, including the first book exploring the core concepts of data warehouses. Inmon also held the first data warehousing conference and has written for many respected data management publications, as well as offering classes in data warehousing.