Meaning of Azure Synapse Analytics
In Azure Synapse Analytics, you can combine data integration, data exploration, data warehouse, and big data analytics into an unlimited analytics service. Using one platform, users can combine their data engineering, data science, and machine learning needs without having to manage separate tools and processes.
What Capabilities Azure Synapse holds?
Utilizing the familiar SQL language, Azure Synapse allows users to query both relational and non-relational data. The data analysis and exploration can be performed either using serverless on-demand queries for ad hoc data analysis and exploration or using provisioned resources (dedicated SQL pool) for predictable and demanding data warehouse needs.
What are some features of Azure Synapse Analytics?
Apart from all these core capabilities, Azure Synapse Analytics also provides the following features:
Exploration of data lakes
It was not always easy to analyze data for some file formats or required additional tools. A Parquet file, for instance, is great to store but cumbersome to read since it is highly compressed. Using Synapse, we can right-click on a file and open it with a SQL script.
Users may choose from T-SQL, Python, Scala, Spark SQL, or .Net for serverless or dedicated resources based on their preferences.
Managing and monitoring resources
Offering industry-leading compliance and security features. Single sign-on with Azure Active Directory integration.
Support for Delta Lake
This platform is compatible with Delta Lake from the Linux Foundation. An open-source storage layer that provides ACID (atomicity, consistency, isolation, durability) transactions to Apache Spark workloads and big data workloads. In addition, it includes time travel (data versioning) and handles scalable metadata.
Synaptic pathway for Azure
This tool simplifies and speeds up the migration of on-premises and cloud data warehouses to Azure Synapse analytics. By connecting to the source system, it inspects details about database objects and provides an assessment report.
Azure Synapse Analytics platform enables an accelerated time to insights with a unified analytical experience that allows for cost-saving analysis. It is a cost-effective service due to its intelligent architecture, which separates storage from computing resources. This gives businesses a great deal of flexibility. It is possible to scale up from small proof of concept project environment to a production environment. Likewise, if the need arises, resources can be paused to limit costs. All tools required by data engineers and data scientists are available in one place in this unified environment.