Does TENGU include ETL data integrations and synchronisations of massive amounts of information in an easy way? Uh, yup, you heard me right, a breeze thanks to the TENGU platform.
DataOps Data Enablement Tengu Data Management Data Architecture Data Science Data Governance Tengu Launch
Another exciting week in the TENGU launch. We made our second demo video as we're gearing up and getting the platform ready to launch by the end of June. What can you expect from it? Let's take a look...
Big Data DataOps Data Enablement Tengu Data Management Data Architecture Data Science Data Governance Tengu Launch
With the launch of the TENGU platform getting even closer, it’s time to lift the cloth over our final product.
Big Data DataOps Data Enablement Tengu Data Management Data Architecture Data Governance Tengu Launch
These are strange -but exciting- times because we're working hard towards the release of our TENGU platform! Supporting you with a visual overview of all data with DataOps (data operations) functional...
DataOps started from a desire to deal with the data silo's, and enable non-tech savvy's to answer their questions with data. It is a best practice for handling data, making it most useful and valuable...
Is being data-driven another buzz word or hype? Most certainly not, just like you're using a computer and the internet almost every day, data will become a fix part our day to day jobs. Not convinced?...
Regardless of your industry, the number of employees, company size or the complexity of your products/services… Data is omnipresent in many different channels, sources and shapes. This hidden treasure...
Data processing is omnipresent in many different ways within companies, inrespective of industry, company size or product range. Most probably you already store data from customers, employees or suppl...
You want to get data to the right people. You've been looking into several Data(Ops) tools, platforms and interfaces. But there are so many available, how to decide upon which one is the right one for...
Is your company sitting on a large amount of data? Are you willing to do more with that data? Have you been or are you looking into ways to get more value out of it? You're not sure where to start or ...
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