Azure Databricks Professional, Scientific, and Technical Services Reviews & Insights

We are leveraging Databricks capabilities in various use cases. For instance, to design a tailor made change data capture that keep track of users account details and keep it updated in delta lake. We have also designed numerous ETL processes which is scheduled to provide data to data analytics on strict delivery timelines. Moreover, the workspaces is integrated with other Azure services such as Azure synapse analytics, Azure data lake, Azure data factory. Some of our Databricks are triggered by Azure data factory.

It works great for use cases where you want to have a more customized solution able to handle huge data volumes ( cluster nodes power and spark). Also, if you want to migrate native spark solution to cloud. Or if you want to integrate your existing Azure data services together

We use Databricks to pull performance metrics for our content hosted on the company website. Having one tool to view and analyze the data has been a game changer for us, saving many hours of collecting the data various sources in the past.

Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.