A massive amount of data is being produced (estimated 2.5+ quintillion bytes/daily) by different sources like social media platforms, websites, IoT devices, corporate databases and many more. Millions of users are connected 24/7/365 sharing information, uploading images and videos in social media platforms or any other websites/databases. So the question arises how this huge amount of data can be managed and leveraged for business decisions. That’s when Databricks comes into picture.
Databricks is an unified data analytics platform for data engineering, data science, machine learning and analytics. It allows business analysts, data engineers to build models & ETL pipelines, and deploy business process workflows using their platform. Apache Spark is the core of Databricks which is widely used in the industry for developing big data projects. Databricks is available as a service in Microsoft Azure, Amazon Web Services and Google Cloud Platform.
In the modern world, data is much larger and complex. […]