With millions of downloads, Talend Open Studio is the leading open source data integration solution. Talend makes it easy to design and deploy integration jobs quickly with graphical tools, native code generation, and hundreds of pre-built components and connectors.
Track all of your critical subscription metrics in Databox from a free ProfitWell account: revenue, churn, upgrades/downgrades, ARPU, and much more.
The next generation of BI will heavily integrate machine intelligence and AI – and how these technologies are embedded and used will matter. The best solutions will support human-centered analysis, which takes advantage of new technology while not losing sight of value of the human perspective in decision making and analysis.
One of the best things about my job is that I get to continually scan the industry and learn about who’s driving innovation (see my predictions for 2018 here). As a result, I see five key trends emerging in the analytics space over the next year.
Here are 8 reasons that your business will grow and your support team will thank you when you track the causes of new customer support inquiries.
In this blog, I want to highlight some of the best practices that I’ve come across as I've implemented continuous integration with Talend. For those of you who are new to CI/CD please go through the part 1 and part 2 of my previous blogs on ‘Continuous Integration and workflows with Talend and Jenkins’. This blog would also introduce you to some basic guidance on how to implement and maintain a CI/CD system. These recommendations will help in improving the effectiveness of CI/CD.
Throughout 2018, we have evolved our strategy and capabilities around extensions. Qlik's open platform has always allowed developers to build new functionality that takes advantage of our engine and extends the capabilities of our analytics products. Historically, extensions were typically created by third parties and largely unsupported. This is changing.
With the Databoard Embed feature, you can share and publish live, interactive dashboards on any web page, blog post, wiki page, web application, or intranet portal.
Let’s be honest, the ‘Data Lake’ is one of the latest buzz-words everyone is talking about. Like many buzzwords, few really know how to explain what it is, what it is supposed to do, and/or how to design and build one. As pervasive as they appear to be, you may be surprised to learn that Gartner predicts that only 15% of Data Lake projects make it into production. Forrester predicts that 33% of Enterprises will take their attempted Data Lake projects off life-support.
When most people think of Business Intelligence, they think of dashboards. But despite the fact that dashboards are the default approach to BI, there are a range of business use cases today where dashboards are failing (miserably).
