As a follow-up to our recent "Why Data Vault" webinar, here is the 1st of 3 video snippets providing further detail into the Data Vault system with the first one focusing on the Methodology. In other words, the 4 key areas needed for you to build a Data Vault.
Why the world has gone “digital” is not really a difficult question for many of us. Macro trends like consumerization and globalization have altered the software landscape forever. Products that make our lives easier are merely products of innovation fueled by technology. Digital transformation is changing how we develop, with a focus on the customer experience.
As part 1 of our TESCHGlobal Data Management Movement, a thought-provoking series for those interested in learning about cutting-edge techniques for managing data more effectively, we dive into what a Data Vault system is and how its methodology can provide full agility and accessibility to your data all in one place.
The term DevOps is used to describe the union of agile development methodology with operations. The term continuous integration (CI) refers to a development practice that allows developers to integrate code into a shared repository via an on-demand or scheduled basis. This article will describe how a DevOps approach to data management can be implemented with Talend.
As a team of software engineers and developers we dive in head-first into new technologies, and for the better part of 2 years we have been architecting and building IoT solutions! Through our projects, research, and partnerships we’ve been paddling hard to catch this wave. Here is an overview approach to IoT via a reference architecture:
leveraging best practices throughout the data management life cycle. We will take into account: the sources, processing, storage capabilities, constraints and end-user needs.
Whatever your data mission statement is “One Click”, “360 View”, “Right Data at the Right place and Time” etc…. there is no clear right or wrong answer. Let TESCHGlobal help you get the most value and insight from your data, resources and capabilities. We can help with full life cycle using industry-top data architects and scientists.