- [Instructor] Let us now apply our learnings in the course…for a few use cases.…In these use cases, we strive to choose…the best database options for the requirement.…In real-life cases though, you might choose…fewer number of database types in a given architecture…for manageability reasons.…Our first use case is network analytics.…We will sketch the architecture for network analytics first.…Then for the database components in the architecture,…we will work on choosing the right database…that fits the requirements.…
Software networks contain a number of virtual machines…where software components run.…They produce log files that log various events happening…in these components, including errors and warnings.…These log files need to be accumulated and analyzed…to provide insights and predictions for network management.…First, we need a data pipeline that would acquire log files…from these virtual machines…and push them into a central repository…through a queue like Kafka or MSMQ.…
The queue then dumps all the log files received…
Released
6/19/2018Kumaran Ponnambalam begins by discussing the roles of databases in data science, as well as the key feature and performance requirements for databases in this field. Next, Kumaran goes over different database types, sharing the strengths and weaknesses of each one. To wrap up, he walks through specific use cases and shows how to select the best database technology for each situation.
Share this video
Embed this video
Video: Operations analytics