Lines-of-business users model and expose their data in the correct context. Mesh is a data system that aligns to your specific access patterns, and lets For example, data lakes are massive, but they lack theĪccessibility and discoverability required to connect the right data with the Data mesh takes you beyond yesterday’s monolithicĪpproaches to data. Data mesh is the fundamental architectureĭataOps strategy can’t exist on its own. Your data should be the constant-there’s no reason to have to start from scratch every time a new technology comes along. Focus on your data and building applications around it with an infrastructure agnostic manner. Risks involved, with an eye toward how your data is stored, transmitted, andįuture-proofing is the next requirement, so you’re not locked into a particular platform or technology. Think about who can access the data, and the As you work to build data intensity, you’ll want to ensure You move forward faster, it’s essential that governance and transparency don’t Team, providing the agility and repeatability to move into production fast. Workflow can help your processes fit into the standard lifecycle of the release Make sure youĪre following best practices of the DevOps community. To do that, you need an automated pipeline in your data platform. The best solution won’t do you any good if you can’t bring it into production. Understanding the data is more important than understanding the It starts withĮstablishing a common way to talk about data, using a baseline set of knowledge, Don’t be afraid to purchase the technology and tools you need, ratherĭata literacy is another key step toward data intensity. Choose the technology that lines upīest to your own use case and your platform, not merely the flavor of the Not everyĬompany is a Facebook or a Google. Some of the scale and complexity that comes with these technologies. As youĮvaluate the tooling you will use with your data, consider whether you need Projects fail so often is that people choose the wrong technology. Solution that aligns best with our business objectives. With the latest technical bells and whistles, but they aren’t always the Start with proven available technologies. Technology, best practices, and infrastructure foundation.
It’s a journey that brings together the right
#Data intensity how to
Instead of worrying about how to deploy a technology or configure a new toolset, you can focus on making the data the engine that drives your outcomes. When you cut out the complicated IT and technical processes that stand between data and people that have the domain knowledge to really apply it to create applications, you build data intensity. It’s all about bringing people closer to data, application development, and focus on business outcomes. See also: Time to Market is Everything – Make it Happen with DataOpsĭata intensity takes everything a step further, by building on the tech intensity that companies have acquired within their organizations and applying a real-time DataOps approach to the business. Technologies like machine learning, AI, and other innovations to create their In some ways, everyĬompany is becoming a technology company, where they’re using the latest Them to work to solve their own complex business problems. Where companies take the tools and technologies provided by vendors and put Many of us have already heard about “ tech intensity,” The path toward data intensity can take us The trick is determining how we can best put data to use and apply it to You’re in business today, it’s obvious that data holds tremendous potential.
How DataOps helps bring people closer to the data and sets up a springboard for faster, better business outcomes.
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