Learn how Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data by enabling users to write queries to transform their data and extract valuable insights.
Table of Contents
Question
Tradewind Traders is planning to migrate to Azure cloud services. Management has asked you to spend some time researching the big data and analytic solutions available in Azure. Based on your research, which of the following provides an on-demand analytics job service that simplifies big data by enabling users to write queries to transform their data and extract valuable insights?
A. Azure Data Lake Analytics
B. Azure Synapse Analytics
C. Azure HDlnsight
D. Azure Databricks
Answer
A. Azure Data Lake Analytics
Explanation
Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform your data and extract valuable insights.
The correct answer is A. Azure Data Lake Analytics.
Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data by enabling users to write queries to transform their data and extract valuable insights. Azure Data Lake Analytics supports a variety of languages, such as U-SQL, R, Python, and .NET, and can process data stored in Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database, and Azure Synapse Analytics. Users can scale the processing power, measured in Azure Data Lake Analytics Units (AU), from one to thousands for each job, and only pay for the processing that they use per job. Azure Data Lake Analytics also provides enterprise-grade security, auditing, and support features.
Azure Synapse Analytics, Azure HDInsight, and Azure Databricks are also big data and analytic solutions available in Azure, but they do not match the description of an on-demand analytics job service that simplifies big data by enabling users to write queries to transform their data and extract valuable insights.
Azure Synapse Analytics is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems. It brings together the best of SQL technologies used in enterprise data warehousing, Apache Spark technologies for big data, and Azure Data Explorer for log and time series analytics. Azure Synapse Analytics offers both serverless and dedicated resource models for querying data, and also provides a unified experience for developing end-to-end analytics solutions.
Azure HDInsight is a managed Apache Hadoop service that lets users run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more in the cloud. Azure HDInsight enables users to scale workloads up or down, and to create clusters on demand and pay only for what they use. Azure HDInsight also integrates with Azure Monitor logs to provide a single interface for monitoring all the clusters.
Azure Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Azure Databricks Lakehouse Platform integrates with cloud storage and security in the user’s cloud account, and manages and deploys cloud infrastructure on the user’s behalf. Azure Databricks enables users to use open-source frameworks such as Apache Spark, Apache Hive, LLAP, Apache Kafka, Hadoop, and more, in their Azure environment.
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