AI-900: Azure Databricks: A Fully Managed, Open-Source Analytics Service for Enterprises

Learn why Azure Databricks is the best choice for big data and analytic solutions on Microsoft Azure, and how it differs from other Azure services.

Question

Tradewind Traders is planning to migrate to Azure cloud services. Management has asked you to spend some time 1/1point researching the big data and analytic solutions available in Azure. Based on your research, which of the following provides a fully managed, open-source analytics service for enterprises that makes it easier and more cost-effective to process massive amounts of data while running popular open-source frameworks?

A. Azure HDlnsight
B. Azure Databricks
C. Azure Synapse Analytics
D. Azure Data Lake Analytics

Answer

B. Azure Databricks

Explanation

The correct answer is B. Azure Databricks.

Azure Databricks is a fully managed, open-source analytics service for enterprises that makes it easier and more cost-effective to process massive amounts of data while running popular open-source frameworks such as Apache Spark, Delta Lake, MLflow, and TensorFlow. Azure Databricks provides a collaborative workspace where data engineers, data scientists, and business analysts can work together to explore, analyze, and visualize data, as well as build and deploy machine learning models. Azure Databricks also integrates seamlessly with other Azure services, such as Azure Data Lake Storage, Azure Synapse Analytics, Azure Machine Learning, and Power BI.

Some of the benefits of using Azure Databricks are:

• It offers a fast and scalable platform for big data processing, with optimized performance and cost-efficiency.
• It supports a variety of languages and frameworks, such as Python, R, Scala, SQL, Java, .NET, and more.
• It enables interactive and collaborative data exploration and visualization, with built-in notebooks, dashboards, and widgets.
• It simplifies the development and deployment of machine learning models, with features such as automated machine learning, model management, and monitoring.
• It ensures security and compliance, with features such as encryption, role-based access control, audit logs, and private network connectivity.

The other options are not correct because:

• Azure HDInsight is a fully managed cloud service that allows you to run open-source frameworks such as Apache Hadoop, Spark, Kafka, and more, but it does not provide a collaborative workspace or a unified analytics platform like Azure Databricks.
• Azure Synapse Analytics is a limitless analytics service that combines data warehousing, data lake, and data integration capabilities, but it does not support open-source frameworks or machine learning features like Azure Databricks.
• Azure Data Lake Analytics is a data integration service that allows you to run batch and interactive analytics on data stored in Azure Data Lake Storage, but it does not offer a collaborative workspace or a scalable platform like Azure Databricks.

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