During the last half century, we have developed and perfected the discipline of software engineering to accelerate the development and implementation of applications. This has involved a general shift towards DevOps practices that align the business objectives with those of the developer and drastically reduce the delivery time.

With the recent increase in the volume of data generated and the subsequent challenge of its analysis, it is necessary to apply DevOps principles to data science.

In this demo, Apache Nifi will be used to obtain some photos of cats and dogs from the Flickr API, store them in HDFS, re-train a Tensorflow model to classify these new categories and use an IC / CD channel to display in Kubernetes a web application taking advantage of this model.

Speaker:
Cristina Álvarez, Sales Engineer of EMEA at Mesosphere.

Telecommunications Engineer, Cristina has been working at Mesosphere since 2018 in presales at the EMEA level. With experience in international projects, she provides global solutions to different user cases, especially in areas of Hybrid Cloud, DevOps and Kubernetes, and Big Data.