What is Databricks?
Databricks is a cloud-based platform designed for data processing, primarily targeting data engineers and data scientists. The key advantage of the platform lies in its ability to handle vast amounts of data, making it particularly well-suited for advanced analytical purposes such as building machine learning models, prediction, AI, big data management, and other sophisticated analyses.
Built on Spark, Databricks can transform data using languages like Python (PySpark), SparkSQL, Scala, and R. Data and information can be visualized in Databricks' integrated dashboards, with numerous active APIs for popular visualization tools such as Power BI, Microsoft Fabric, Oracle Analytics, QlikView, Tableau, and more.
Essentially, Databricks is built on a lakehouse architecture, merging the best elements of a data lake and a data warehouse. This architecture offers a flexible and scalable solution for storing and analyzing massive amounts of structured and unstructured data, accommodating both batch and stream data processing.
The lakehouse architecture separates storage from processing, enabling rapid ingestion and storage of large volumes of raw data akin to a data lake. Additionally, it facilitates structuring and robust data governance with features from a data warehouse, eliminating the need for implementing two systems, reducing costs, data duplication, and latency.
With a foundation in lakehouse architecture, Databricks excels in advanced analytics, machine learning, and AI directly on the data while supporting BI tools. This streamlines the extraction of insights from data, providing significant value for decision-making and actions in businesses.
Cegal has partnered with Databricks and offers several consultants who can assist and guide you and your business.