In late March 2021 Azure Data Explorer Engine v3 was release and it is the latest version of the engine that powers Azure Data Explorer. It is designed to provide a number of key features and benefits for data analytics, including:
- Scalability: The Azure Data Explorer Engine v3 is designed to be highly scalable, allowing you to process and analyze large amounts of data quickly and efficiently. The engine can be scaled up or down as needed to handle varying data volumes and workloads.
- Performance: The Azure Data Explorer Engine v3 is highly optimized for performance, allowing you to analyze data in near real-time. The engine can perform complex queries and aggregations on large data sets quickly and efficiently.
- Flexibility: The Azure Data Explorer Engine v3 is designed to be highly flexible, allowing you to work with a wide range of data types and formats. The engine can handle structured, semi-structured, and unstructured data, as well as data in a variety of formats, including CSV, JSON, and more.
- Reliability: The Azure Data Explorer Engine v3 is designed to be highly reliable, ensuring that your data is always available and secure. The engine is built on top of Azure, providing built-in redundancy and failover capabilities to ensure high availability.
Key features of the Azure Data Explorer Engine v3 The Azure Data Explorer Engine v3 provides a number of key features that make it a powerful and flexible platform for data analytics, including:
- Columnstore Indexes: The Azure Data Explorer Engine v3 uses columnstore indexes to store and query data. Columnstore indexes provide high compression rates and fast query performance, allowing you to quickly analyze large amounts of data.
- Time Series: The Azure Data Explorer Engine v3 includes built-in support for time series data, allowing you to analyze time-based data quickly and efficiently. The engine can handle large volumes of time-series data and provide real-time insights into trends and patterns.
- Query Language: The Azure Data Explorer Engine v3 supports a powerful query language called Kusto Query Language (KQL). KQL provides a simple and intuitive syntax for querying data, allowing you to quickly and easily analyze large data sets. But you know this from these blog posts right?
- Security: The Azure Data Explorer Engine v3 provides built-in security features, including role-based access control (RBAC) and encryption, to ensure that your data is always secure.
You can read more about V3 of the engine here:
https://learn.microsoft.com/en-us/azure/data-explorer/engine-v3