Big data analytics and AI with optimized Apache Spark
Azure Databricks is an easy, fast, and collaborative Apache spark-based data analytics platform for the Microsoft Azure cloud services platform. It accelerates innovation by bringing data science, data engineering, and business together.
Azure DataBricks allows you to:
- unlock insights from all your data and build artificial intelligence
- set up your apache spark environment in minutes
- collaborate on shared projects to interactive workspace
It supports Python, Scala, R, Java, and SQL. It also supports data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
Gives an easy-to-use platform for analysts who need to run SQL queries on their data lake, make different visualization sorts to investigate query results from diverse points of view, and construct and share dashboards.
Databricks data science & engineering
Azure Databricks will provide you one click setup, streamlined workflows, and interactive workspace that enables collaboration between data scientists, data engineers and business analysts.
For a big data pipeline, the data is ingested into azure through streamed near real-time using apache kafka, event Hub or IoT hub, or through azure data factory in batches.
Databricks Machine Learning
Is an integrated end-to-end machine learning environment incorporating managed services for experiment tracking, model training, feature development & management, and feature & model serving.