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Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.

Databricks offers an interactive workspace for all stakeholders, so you can build data pipelines, train and productionize machine learning models, and share insights to the business all from the same environment.

Simple Technology Solutions

Databricks Solutions Provider

Databricks Cettified Partner


Enterprises are accumulating massive quantities of data, but the big data analysis process in itself brings many barriers, ranging from infrastructure management needs to provisioning bottlenecks to high costs of acquisition and management. Databricks is designed to remove all these hurdles. Simplify big data and AI with a unified analytics platform.

What Is Databricks?

Enterprises are dealing with a wider variety of data at a much larger scale today, coming in at ever faster rates. In addition to the data found in their existing database management systems (DBMS) and enterprise data warehouses (EDW), enterprises need to make sense of the massive volume of semi-structured data such as sensor data, clickstreams, and logs residing in other data stores. For traditional data warehousing, this requires data teams to constantly build multiple costly and time-consuming extract – transform – load (ETL) pipelines to ultimately derive business insights.

Databricks provides a fast, simple, and scalable way to augment your existing data warehousing strategy
by combining pluggable support for common data sources and the ability to dynamically scale nodes and clusters on-demand. Additionally, Databricks has built-in SSD caching to complement Apache® Spark’sTM native in-memory caching to provide optimal flexibility and performance. This enables organizations to read data on- the-fly from the original data source and perform “just-in-time” queries on data wherever it resides rather than investing in complicated and costly ETL pipelines.

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