Quick Summary: Azure Synapse Analytics gives users the flexibility to design queries based on specific requirements using either serverless or dedicated resources. It efficiently manages petabytes of data similar to a traditional SQL data warehouse and offers powerful services such as cloud integration, data warehousing, and MPP (Massively Parallel Processing). As shown in the diagram above, Azure Synapse Analytics connects with multiple data sources and supports end-to-end analytics in a single environment—including data ingestion, exploration, and visualization.
What is Azure Synapse Analytics?
Azure Synapse Analytics is big data analytics which brings limitless data together like enterprise data warehousing to explore and manage heterogeneous data workload which is helpful in BI and machine learning.
What are the key capabilities of Microsoft Synapse Analytics?
- Integrations with Microsoft technologies, Business intelligent and Machine learning.
- Flexible to manage multiple resources, users and usage on a single dashboard.
- Highly secured such as data encryption, automated thread detection and also secured column and row level even object level to protect sensitive data.
- Multiple choices on language selection like, .Net, T-Sql, Scala, Paython etc.
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What are the main components of Azure Synapse Analytics?
These are the four key MS Azure Synapse Components.
- SQL analytics: Ms Synapse SQL can manage multiple relational and non-relation data. With Microsoft Synapse dedicated SQL pool, you can import large volumes of data using simple T‑SQL queries; it stores data in relational tables with columnar storage, boosting performance and reducing storage costs.
- Apache Spark: Apache Spark is a performance booster which is load the data in memory and in memory computing is very faster.
- Synapse Analytics Studio: Azure Synapse Analytics Studio is a web-based SaaS tool that allows users to manage everything in one unified platform. It supports data integration, workflow orchestration in data pipelines, data creation, advanced data analysis and reporting, and data visualization. With Azure Synapse Analytics (Microsoft Synapse), users benefit from powerful features such as performance optimization, code debugging, and seamless collaboration across data engineering and analytics teams.
- Connectors for ingesting/integrating data from data sources: Synapse features 85 native connectors for integrating the most popular data sources to ingest all data into the data warehouse.
Benefits of Azure Synapse Analytics
- Azure Synapse Analytics offers industry-leading SQL capabilities with both dedicated and serverless resource models, providing flexible options tailored to your specific needs. This versatility is highly beneficial for optimizing cost, enhancing performance, and managing unplanned or ad-hoc data workloads efficiently.
- In Spark applications, Microsoft Synapse .NET for Spark enables you to leverage your existing C# expertise and reuse .NET code.
- SQL and Spark can explore stored data lake files like CSV, JSON
- Monitoring Data Flow activity without any code via pipelines.
- Flexibility of heterogenous data management.
- Highly secured in Cloud platform.
Conclusion
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Author – Nilam Rathod
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