Azure Databricks is a fully managed Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform.
Apache Spark, if you’re not already familiar with it, is an open source, unified analytics engine built for big data and machine learning. The founders of Apache Spark designed Databricks to integrate with Azure to provide simple setup, workflows and an interactive workspace to enable collaboration between business analysts, data engineers and data scientists to explore and visualize data.
Spark in Azure Databricks
Spark in Azure Databricks includes the following components:
- Spark Core API, which supports languages such as SQL, Python, Scala, R and Java
- Spark SQL (for dealing with structured data) and DataFrames
- Real-time data processing and analysis (integrates with HDFS, Flume, and Kafka)
- Mlib for machine learning
- GraphX for a variety of use cases from cognitive analysis to data exploration
Azure Databricks allows you to launch a new Spark environment with a single click and enables integration with a variety of data services such as Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Store, Azure Blob Storage and Azure Event Hub.
Being on Azure, you also benefit from a secure and trusted cloud service. Your data and business are protected with Azure Active Directory integration, allowing for role-based control and peace of mind. User permissions also enables secure access to Databricks notebooks, clusters, jobs and data.
Another benefit of being a fully managed cloud-native platform means it allows you to instantly scale up or down to either reducing costs or gain extra capacity when required.
Additionally, Azure Databricks also allows you to discover and share your insights quickly and easily by integrating with Power BI or other tools such as Tableau.
BizOne is committed to focusing on cutting edge technologies and keeping up to date with the latest developments on the Microsoft Data platform and Azure ecosystem and our consultants are skilled in developing the best solutions to fit your companies BI requirements. If you’re interested in implementing Azure Databricks into your BI solution, contact us below!