What is Databricks?
DataBricks is an organization and big data processing platform founded by the creators of Apache Spark.
Databricks is basically a Cloud-based Data Engineering tool that is widely used by companies to process and transform large quantities of data and explore the data. This is used to process and transform extensive amounts of data and explore it through Machine Learning models. It allows organizations to quickly achieve the full potential of combining their data, ETL processes, and Machine Learning.
DataBricks was founded to provide an alternative to the MapReduce system and provides a just-in-time cloud-based platform for big data processing clients.
DataBricks was created for data scientists, engineers and analysts to help users integrate the fields of data science, engineering and the business behind them across the machine learning lifecycle. This integration helps to ease the processes from data preparation to experimentation and machine learning application deployment.
According to the company, the DataBricks platform is a hundred times faster than the open source Apache Spark. By unifying the pipeline involved with developing machine learning tools, DataBricks is said to accelerate development and innovation and increase security. Data processing clusters can be configured and deployed with just a few clicks. The platform includes varied built-in data visualization features to graph data.