Talend Cloud enables the use of several prebuilt connectors and components for different services running on cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This article explores a use case of querying an Amazon Redshift table as part of a Talend Job developed using Talend Studio and executed as a task on Talend Cloud.
In part 1 of my post on data governance fundamentals, I introduced the "5 Ws and 1 H" of problem-solving—"What”, “Why”, “Who”, “When”, “Where”, and “How”— and applied the first three to data governance. This part covers how you can apply the last three pieces and suggest some next steps. Let's get started!
Today during Microsoft Build 2019, we announced that Talend Cloud, our Integration Platform as a Service (iPaaS), would soon be available on Microsoft Azure starting in Q3 2019. For those who have selected Azure as their cloud platform of choice, Talend Cloud running natively on Azure will provide enhanced connectivity options for modern data integration needs as well as better performance.
Today’s ever-increasing competitive market is forcing organizations to become more data-driven. To support key business objectives such as growth, profitability and customer satisfaction, businesses must digitally transform and become reliant on more and more data to make laser sharp decisions faster.
Among Talend’s blog posts are many outstanding ones on data governance, such as David Talaga’s “Life Might Be Like a Box of Chocolates, But Your Data Strategy Shouldn’t Be” which encourages us to know our data, and his two-part post on “6 Dos and Don’ts of Data Governance,” in which David offers steps to take and pitfalls to avoid when starting out on data governance.
