Systems | Development | Analytics | API | Testing

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Welcome to data fabric - the architecture of the future

On average, data-driven companies grow more than 30% every year. Because of the competitive advantage that data confers to incumbents who are capable of extracting value from it, it has been called the new oil. Companies are tapping into this well of resources because of the advantages that it has to offer: But using data to run your operations poses its own set of challenges.

APIs 101: Everything you need to know about API design

Application programming interfaces, or APIs, are how software talks to other software. They abstract the complexity of underlying systems so the systems can connect in novel ways even if they were never intended to interoperate. Consequently, APIs are key ingredients in both most modern digital experiences and the execution of many of today’s most exciting business opportunities.

Reasons why your Big Data Cloud Migration Fails and Ways to Overcome

The Cloud brings many opportunities to help implement big data across your enterprise and organizations are taking advantage of migrating big data workloads to the cloud by utilizing best of breed technologies like Databricks, Cloudera, Amazon EMR and Azure HDI to name a few. However, as powerful as these technologies are, most organizations that attempt to use them fail. Join Chris Santiago, Director of Solution Engineering as he shares the top reasons why your big data cloud migration fails and ways to overcome it.

Continuous Integration vs. Continuous Deployment

Thanks to Linus Torvalds, the creator of not only Linux, but also the most popular version control system - Git, multiple developers can simultaneously work on the development of the same application, ramping up the speed of production. Git was revolutionary - it enabled developers to keep track of code changes and collaborate seamlessly across different projects.