- Data Analytics
Whether you’re looking to transform and clean large volumes of data, or collaborate with colleagues to build advanced analytics jobs that can be scaled and run automatically, Databricks is a tool worth considering.
Built by the same team who came up with Apache Spark, and with strong partnerships to cloud providers like Microsoft Azure and AWS, Databricks has been attracting a lot of attention recently. In this webcast, Thorogood Consultant Andrew Kennedy shows some of its key features, like the ability to automatically scale the analysis based on the workload, and the option to switch between SQL, R and Python depending on the task at hand.
We take a look at where Databricks fits in the analytics project lifecycle, and consider how it can be used in combination with other tools to automate analytics and present outputs that can be used by decision makers in your organization.
Databricks for Advanced Analytics