Apache Spark is a unified analytics engine for large-scale data processing. Apache Spark had been instrumental to the success of data analytics and AI in cloud-scale era with its revolutionary in-memory optimisation, resilience and easy to use programming interface.
What is Databricks
Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and business. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from interactive exploration and ETL through to production data products.
AI applications are simpler to explore and transition to production as the one platform is used by data scientists and data engineers. Users can quickly prepare clean data at massive scale, and continuously train and deploy state-of-the-art ML models for best-in-class AI applications.
Databricks makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.
Servian have had the most certified data engineers and data scientists with Databricks Spark since 2015. Servian is the only organisation in Australia with certified instructors for Databricks Spark. We have been implementing machine learning on Databricks since 2016.
Who uses Databricks
Develop, test, execute and monitor batch ETL jobs
Implement data streaming ingestion or analytics jobs
Collaborate on code, notebooks and jobs
Perform data analysis using SQL at scale
Perform visual analytics using Databricks notebooks and share them
Explore datasets visually and interactively in a notebook environment
Explore machine learning models
Develop production machine learning pipelines
Monitor machine learning performance
Simplify AI/ML with Databricks
Cut through the hype. Explore new opportunities with Databricks and reap the benefits