Self Aware Streaming
1. Problem Statement
By processing data in motion, Real time/stream processing enables you to get insight into your business and make vital decisions.
Challenges in Stream Processing -
Added by Daljeet Kaur on December 9, 2019 at 2:30am — No Comments
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …Continue
Added by Kai Waehner on July 8, 2018 at 4:26pm — No Comments
Visual Analytics and Data Discovery allow analysis of big data sets to find insights and valuable information. This is much more than just classical Business Intelligence (BI). See this article for more details and motivation: "Using Visual Analytics to Make Better Decisions: the Death Pill Example". Let's take a look at important characteristics to choose the right tool for…Continue
Added by Kai Waehner on July 27, 2016 at 10:00pm — No Comments
Why the cloud a crucial and good fit for large amount of data? Big data needs distributed clusters system of compute power, and which is how the cloud is architected.…Continue
Added by Priyanka Jain on June 28, 2016 at 9:00pm — No Comments
Collaborative business intelligence is an environment In which users can communicate and collaborate each other with ease, they are able to sharing information, ideas, and decision making in their communities.
Each and every day, no one holds the millions of data items of intellectual property (telephone calls , conversations, and e-mails) in companies and organizations across the world. Using important collaborative software to…Continue
Added by Priyanka Jain on May 19, 2016 at 9:00pm — No Comments
Added by William Vorhies on November 5, 2015 at 10:00am — No Comments