Making Spark and Kafka Data Pipelines Manageable with Tuning
In this post, we’ll walk you through how to use tuning to make your Spark/Kafka pipelines more manageable.
Posts Tagged ‘Architecture’
Four Data Capabilities for Telecommunications
This post looks at four business analysis capabilities that connect the dots between promising applications of data assets for telecommunications companies.
The Data Platform Puzzle
Building or rebuilding a data platform can be a daunting task, as most questions that need to be asked have open-ended answers. But that doesn’t mean you have to guess and use your gut.
Big Data is About Agility
Any technology is only as good as the way in which you use it.
We Need a New Data Architecture: What Next?
In this revamped classic, Edd looks at the challenges of moving forward with a new architecture, and where you need to start.
Building Pipelines to Understand User Behavior
In this post, we cover what’s needed to understand user activity, and we look at some pipeline architectures that support this analysis.
Building Data Systems: What Do You Need?
In this post, we’re going to go over the capabilities you need to have in place in order to successfully build and maintain data systems and data infrastructure.
Understanding Modern Data Systems
In this post, Fausto talks about the characteristics that differentiate data infrastructure development from traditional development, and highlights key issues to look out for.
Building a Prediction Engine using Spark, Kudu, and Impala
In this post, Richard walks you through a demo based on the Meetup.com streaming API to illustrate how to predict demand in order to adjust resource allocation.