Question:- What is the use of widgets in Databricks?Answer:- Widgets enable us to modify our panels and notebooks by adding variables. The API widget is composed of methods for creating multiple input widgets, also retrieving bound data, and deleting them as well.
Question:- What is Azure Databricks?Answer:- Azure Databricks is a Apache Spark-based platform for big data analytics. It’s very easy to use and can be deployed on Azure with minimum time. Databricks offers excellent integration with other Azure services, making it an ideal tool for data engineers who want to work with big data in the cloud based solutions.
Question:- What are the benefits of using Azure Databricks?Answer:- There are many benefits of using Azure Databricks
1- Reduced costs: You can reduce up to 80% on your cloud bill by using Databricks’ managed clusters.
2- Increased productivity: Databricks help us to build and manage big data pipelines.
3- Increased security: Databricks provide us many of features to help you secure your data/information, there is a role-based access control and encrypted communication.
Question:- What is DBU Framework?Answer:- The DBU Framework is a bundle of libraries and tools that help us to develop big data applications on Databricks. The framework includes a CLI, Python SDK, and Java SDK.
Question:- What are some common issues with Azure Databricks?Answer:-
1- Cluster creation failures: This can happen if you don’t have enough credits or if your subscription doesn’t allow for more clusters.
2- Spark errors: Spark errors throw if you’re using an unsupported version of Spark or if your code is incompatible with the Databricks runtime.
3- Network errors: Network errors can occur if there’s a problem with your network configuration or if you’re trying to access Databricks from an unsupported location.
