Azure Databricks: A Data Consultant's Dream
The biggest problems with data consulting is a plethora of programming languages it deals in, from SQL, Scala,R, Python, Java etc.
That is exactly where Azure Databricks excels! It supports all languages in a single notebook with an equivalent performance for all! Club that with a visually pleasing UI, features that integrate the entire data lifecycle, and an architecture that gets the best of spark and you have one of the best data tools in your hand!
- Data Processing and Transformations based on Spark
- Delta Lakehouse when clubbed with an external cloud storage
- Governance using Unity Catalog to unify IAM
- Delta Live Tables is a product, which although relatively newer, has a great potential with the visuals of a pipeline.
- The support team is amazing, they help you at every stage of the projects, from sales to delivery.
- On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
- There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse