After the festivities of the new year, the team has been working on deploying Reifier on the Databricks cloud. Databricks provides a unified analytics platform with a fully managed Spark service. Some of our newest customers run massive analytic and predictive workloads on the Databricks Cloud. They want the ability to run Reifier from within their data processing pipeline – building 360 views, removing duplicates, understanding relationships and consolidating accounts. Reifier was architected from the grounds up to be Spark application, and we had spent our effort to be Apache Spark Certified. As Databricks platform provides an optimized Spark environment, minimal changes around the creation of SparkContext were needed at our end to make the transition.
We are happy to announce that we have tested Reifier on the Databricks Platform. Reifier has always supported multiple deployment models, enabling enterprises to master their customer, vendor, location, employee and other data seamlessly on an infrastructure of their choice – AWS/Azure/Google Cloud/Data Centre. With Reifier on Databricks, we provide our customers yet another option and flexibility.
Posted on February 5th, 2018