Managing Spark and Kafka Pipelines
In this post, we will cover some of the basics of monitoring and alerting as it relates to data pipelines in general, and Kafka and Spark in particular.
In this post, we will cover some of the basics of monitoring and alerting as it relates to data pipelines in general, and Kafka and Spark in particular.
We are seeing evidence of an important pattern: the creation of internal service platform to meet the data science and analytic needs of organizations.
Interested in how AI is being applied out in the real world? Check out these stories, ranging from fighting food insecurity, to a very low-level version of a butler.
We’re happy to announce that we have produced Developing a Modern Enterprise Data Strategy as a video product, available from O’Reilly Media and Safari Books Online.
In a previous post on data maturity, we discussed a company that was just embarking on a transformation: launching a new services business and building data capabilities to support that business. But what if you’re not starting from the beginning?
A lot of people who are new to data visualization feel that they have to design something novel and amazing in order for it to have impact. But novelty is the icing, not the cake. It is not the core of a what makes a data visualization successful (or not).
In this post we provide a framework for choosing a data format, and provide some example use cases.
If you are on the path to being a data-driven company, you have to be on the path to being a development-enabled company.
In this post we’ll look at some real world examples of managing headaches while moving to Hadoop.