Spark Streaming is one of the most widely used frameworks for real time processing in the world with Apache Flink, Apache Storm and Kafka Streams. However, when compared to the others, Spark Streaming has more performance problems and its process is through time windows instead of event by event, resulting in delay.
We’re always hearing technology companies claim that the future lies in becoming a data-driven organisation. But what about the data-centric approach? Is the journey the same as towards a data-driven approach? Is the result the same?
At Stratio we believe in disruptive educational models. This is why we’ve created Numa – a No University, No Master’s degree in Big Data. For 12 weeks, 8 recent graduates will join us and learn about Big Data, Spark, Kafka, Digital Transformation and much more with all our experts.
The key to the success of these methods lies in the rich representations these models build, which are generated after an exhaustive and computationally expensive learning process. Deep learning is starting to become essential to specialized areas of business. Nonetheless, it is not the panacea…
Data has become for many companies their most important asset. Ensuring quality of the information, as well as carrying out a proper management and governance of the data, is absolutely essential.
The Agile Team of Stratio went to different events where they showed and explained the Argos Framework to the Agile Community: AOS (Agile Open Space 2017), BBVAgile Conference and CAS (Conference Agile Spain).