Data enablement doesn’t stop by delivering data in a data lake or data warehouse. Data must reach easily its point of consumption. Whether it is accessed as a self-service by a business user or integrated into an application, making trusted data available to all when it’s needed is of utmost importance.
To maximize the benefits of cloud, data & machine learning and make it available to innovative digital teams and customers, the data lake is the definite reference model. How can we accelerate its implementation and scope without losing control or jeopardizing its sustainability?
CCPA is the latest regulation which should be a concern for all companies with California residents in their databases. There are less than 90 days left to be ready to comply with CCPA, on top of the other regulations.
In today’s businesses, data should underpin every decision. It can be your most valuable enterprise asset if it is processed, stored, managed, and shared in ways that your employees can find, use, and interpret it. To do this, you need a data integration strategy.
This is part three of an occasional series on data governance (DG) and its enabling technologies. In parts one and two I gave an overview of what data governance is and how it might be undertaken; in this blog, I talk about business glossaries--one of the key DG-enabling technologies--and how to create one.
The ability for cloud data warehouses to provide a single platform that enables organizations to analyze data at any scale is a market changing capability. Sure, much has been made of the ability of applying Artificial Intelligence (AI) to this data to gain insight into new areas, ultimately to increase an organization’s competitiveness. There is however a greater level of impact that this architecture can have that can be independent of AI and ultimately inclusive of AI.
In January, I’ll start a new game: ask a company to retrieve all the information they have about me in less than 45 days. One of the requirements of CCPA, is to be able to reply to a customer request to have access to all the data you have about them in less than 45 days. These are called the Verifiable Customer Requests. You may be able to complete 10, 20 replies. But what if you received 10 every day? What does it take to keep your customers happy and being compliant?
Over the summer, Talend released Talend Summer ’19, which includes updates to Talend Cloud and Talend 7.2. The new release serves as the industry’s first fast and easy on-ramp to accelerate the development of all types of integration environments from simple ingestion tasks to the most comprehensive integration scenarios.
I recently became a new mom, and like many others, there are many frustrating moments for me, big and small. Stepping into a whole new world of products that I’m not aware of ever existed, playing the guessing game on what size anything my baby will need and for how long, and that late-night diaper run to the store, just to name a few. As a consumer, I’m confused, time-strangled and desperately looking for ways to simplify my shopping experiences, both online and offline.
Talend continues to evolve and simplify the implementation of CI/CD. In this blog, I will show how with the availability of Talend Cloud on Microsoft Azure, we can offer full automation, zero-installation and end-to-end delivery of your Continuous Integration and Delivery Pipelines to make all your DevOps goals achievable.
