You need to decide on the technology choice that your team should use for batch processing in Azure.
The requirements demand the technology to meet the following capabilities: Autoscaling In-memory caching of data Query from external relational stores Support for firewall Which of the following techniques would you choose?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: C.
Option A is incorrect.
Azure Data Lake Analytics does not support Autoscaling and In-memory caching of data.
Option B is incorrect.
Azure Synapse Analytics does not support Autoscaling and Query from external relational stores.
Option C is correct.
HDInsight with Spark supports all the given capabilities: Autoscaling, In-memory caching of data, Query from the external relational store, and support for the firewall.
Option D is incorrect.
Azure Databricks supports firewall when integrated with VNET, Azure Databricks alone can't support the given capabilities.
To know more about batch processing technologies in Azure, please visit the below-given link:
Based on the provided requirements, the best option for batch processing in Azure would be Azure Synapse Analytics. Here's why:
Autoscaling: Azure Synapse Analytics offers the capability to autoscale based on the workload. This means that the system can automatically adjust the resources allocated to the batch processing job based on the demand, ensuring optimal performance and cost-efficiency.
In-memory caching of data: Azure Synapse Analytics integrates with Azure SQL Data Warehouse, which offers a feature called PolyBase. PolyBase enables in-memory caching of data, allowing for faster access to frequently accessed data.
Query from external relational stores: Azure Synapse Analytics offers the capability to query data from external relational stores, including Azure SQL Database and other cloud-based databases. This allows for a unified view of data, regardless of its location.
Support for firewall: Azure Synapse Analytics offers support for Azure Virtual Network, which allows for a private network connection between the batch processing system and other Azure services. This ensures secure communication and support for firewall.
While other options like Azure HDInsight with Spark or Azure Databricks also offer some of these capabilities, Azure Synapse Analytics is the most comprehensive and integrated solution for batch processing in Azure, making it the best choice for this use case.