Azure Databricks

Crossroad Elf is a leading Azure Databricks Service Provider Company in India. Azure Databricks is a Spark-based analytics tool. Databricks provides a fast, easy and a collaborative method for data-driven business. Azure Databricks is a Spark-based analytics service. Databricks provides a fast, easy and a collaborative method for data-driven business. Big data surrounds us and you can leverage this to derive valuable insights from it. But almost, most organizations fail to do so and don’t reach their full potential. Azure Databricks offers integration of services like never before. It can bring structured and unstructured data, get insights using inbuilt analytics platforms like Machine Learning and deploy them to data visualization tools to gain meaning full reports.

How Azure Databricks can help your business?

Integrate effortlessly with a wide variety of data stores and services such as Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Storage, Azure Event Hubs and Azure Data Factory. Collaborate with data engineering, data scientist and analytics workflows on Azure and even comment on them.

Clusters can be set up, configured and fine-tuned to ensure high reliability and performance. Reduce resources and costs associated with scaling clusters manually by auto-scaling up and down with your needs. Auto-terminate your inactive clusters to save resources. Easily bring together all your data at any scale and get insights through analytical dashboards, operational reports and advanced analytics for all your users with a modern data warehouse.

How Crossroad Elf can help you?

As a leading Data Science and Engineering solutions company in Bangalore, we’ve been successful in helping all our clients harness the power of internet and data to drive digital innovation and revolution. We are a Data solutions company that focuses on developing reliable, innovative and cost-effective data solutions. With Crossroad Elf’s Data Warehousing Solutions Consultants, you can:

• Create and build modern data warehouses.
• Transform big data into insightful data-driven decisions.
• Perform real-time analytics and collaborate with data scientists.