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6 Ways That Data Teams Work Differently in the Cloud

working in the cloud

working in the cloud


As part of our recent partner webinar series, we teamed up with Slalom Philadelphia to talk about modernizing data architecture and data teams. 


John George, leader of the data and management practice for Slalom Philadelphia, shared six ways that the cloud has changed the way his team at Slalom works with each other and with clients. Overall, his team spends much less time on traditional database administrator (DBA) tasks and more on strategic high-level projects that the cloud makes possible. How so? Here are six ways that a modern data team works differently in the cloud.


1. Business Intelligence: Insight in the moment

In the past, business intelligence skills on the data team revolved around tabular month-end reporting, where data would often be long outdated by the time it hit the inbox. By that time, it was information for information’s sake. Today, in the cloud, it’s all about visualization of data for actionable insights. Business teams need to be able to react in the moment with the most current data available. So data teams focus on providing that data as quickly as they can, in the most understandable and actionable way possible.  


2. A holistic, business-focused approach to data  

Rather than spending the bulk of time managing a data architecture, the team focuses more on real-time data management and understanding how that data fits in with the entire organization. What data is most valuable? How and when do you leverage additional data from the cloud to add depth and context? It’s not just about providing data faster. It’s also about using that data in a way that matters to the business. 


3. Agile data management

While data management used to take more of a linear, waterfall approach, in the cloud things have gotten more agile. The team is able to continuous integration and continuous delivery (CI/CD) in the cloud, and also agile application development and DataOps to move data in a more agile fashion. 


4. Say goodbye to high maintenance

In the cloud, server and network management is largely a thing of the past. Cloud providers take over that work as a service engagement. With most of that work and that overhead out of the way, there’s more time to focus on the data and the value you hope to derive from it. 


5. Application support pods

While data teams have been using development pods–small groups closely aligned to a certain development project–for a while, the team has begun using the pod model to support applications in the cloud. They’ve found they can be more agile in developing and evolving cloud-based applications for the business. 


6. Remote work

Though working in remote, distributed teams has been a necessity rather than a choice in the last several months, teams are finding that they can work remotely, and in some cases even prefer it. This transition has been made easier by the proliferation of SaaS and PaaS platforms and collaboration features in products like Matillion ETL


The webinar, which features John George from Slalom and Matillion Solution Architect Aaron Segesman, contains a lot of useful information about how modern data teams work today, even in traditional environments like financial services. 


Click here to watch the webinar.