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Copy file name to clipboardExpand all lines: articles/synapse-analytics/overview-cheat-sheet.md
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The Azure Synapse Analytics cheat sheet will guide you through the basic concepts of the service and important commands. This article will be helpful for both new learners and those who want highlights of the essential Azure Synapse topics.
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The Azure Synapse Analytics cheat sheet will guide you through the basic concepts of the service and important commands. This article is helpful for both new learners and those who want highlights of the essential Azure Synapse topics.
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## Architecture
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|**Linked service**| Connection strings that define the connection information needed for the workspace to connect to external resources.|
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|**Dataset**| Named view of data that simply points or references the data to be used in an activity as input and output. It belongs to a Linked Service.|
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## Next steps
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-[Create a workspace](quickstart-create-workspace.md)
Copy file name to clipboardExpand all lines: articles/synapse-analytics/overview-faq.md
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### Q: What is Azure Synapse Analytics
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A: Azure Synapse is an integrated data platform for BI, AI, and continuous intelligence. It connects various Analytics runtimes such as SQL and Spark through a single platform that provides a unified way to:
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A: Azure Synapse is an integrated data platform for BI, AI, and continuous intelligence. It connects various analytics runtimes such as SQL and Spark through a single platform that provides a unified way to:
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- Secure your analytics resources: network, managing single sign-on access to pool, data, and development artifacts.
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- Secure your analytics resources, including network, managing single sign-on access to pool, data, and development artifacts.
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- Easily Monitor and quickly optimize, react, and debug events happening in your workspace activities at any layer.
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- Manage your metadata across engines. Create a Spark table and it will be automatically available in your SQL Analytics databases.
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- Interact with the data through a unified user experience. Synapse Studio brings Big Data Developers, Data Engineers, DBAs, Data Analysts, and Data Scientists on the same platform.
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- Manage your metadata across engines. Create a Spark table and it will be automatically available in your Azure Synapse databases.
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- Interact with the data through a unified user experience. Synapse Studio brings Big Data Developers, Data Engineers, DBAs, Data Analysts, and Data Scientists on to the same platform.
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### Q: How do I get started with Azure Synapse Analytics
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A: To start using Azure Synapse Analytics, create a Synapse workspace (it's free!) and create the resources that you want under that workspace. You can follow one of our quickstart tutorials that will walk you through simple use case. You can also find sample notebooks and SQL scripts into our repository. If you need to connect to public dataset, create a new linked service with the following attributes:
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A: To start using Azure Synapse Analytics, create a [Synapse workspace](https://portal.azure.com) (it's free!) and create the resources that you want under that workspace. You can follow one of our quickstart tutorials, such as [Create a Synapse SQL pool](quickstart-create-sql-pool.md) or [Create a workspace](quickstart-create-workspace.md), that will walk you through simple use case.
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You can also find sample notebooks and SQL scripts in our [repository](https://github.com/Azure/azure-synapse-analytics/tree/master/samples). If you need to connect to a public dataset, create a new linked service with the following attributes:
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A: Azure Synapse has the following capabilities:
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-SQL Analytics offers analytics capabilities either with SQL pool or SQL on-demand (preview) (Serverless).
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- Analytics capabilities are offered through SQL pool or SQL on-demand (preview) (Serverless).
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- Apache Spark pool (preview) with full support for Scala, Python, SparkSQL, and C#
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- Data Flow offering a code-free big data transformation experience
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- Data Integration & Orchestration to bring your data and operationalize all of your code development
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- Data Integration & Orchestration to integrate your data and operationalize all of your code development
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- Studio to access all of these capabilities through a single Web UI
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### Q: How does Azure Synapse Analytics relate to Azure SQL Data Warehouse
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A: Azure Synapse Analytics is an evolution of Azure SQL Data Warehouse into an analytics platform, which includes SQL pool as the data warehouse solution. This platform combines data exploration, ingestion, transformation, preparation, and serving analytics layer.
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A: Azure Synapse Analytics is an evolution of Azure SQL Data Warehouse into an analytics platform, which includes SQL pool as the data warehouse solution. This platform combines data exploration, ingestion, transformation, preparation, and a serving analytics layer.
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## Use cases
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### Q: Does Azure Synapse Analytics provide APIs
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A: Yes, we provide an SDK to programmatically interact with Azure Synapse Analytics. More information is available [here] on which operations are supported by Synapse.
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## Next steps
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-[Create a workspace](quickstart-create-workspace.md)
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Today enterprise analytics requires operating at massive scale on any kind of data--raw, refined, or highly curated. To build these kinds of analytics solutions, enterprises have needed to stitch together big data and data warehousing technologies such as Spark and SQL. Then integrate them into rich data pipelines that work across data in relational stores and data lakes. Solutions like this are difficult to build, configure, secure, and maintain and delay enterprises from quickly getting the insights they need.
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Today enterprise analytics requires operating at massive scale on any kind of data, whether raw, refined, or highly curated. In the past, building these kinds of analytics solutions required enterprises to stitch together big data and data warehousing technologies such as Spark and SQL. Next, they'd need to integrate them into rich data pipelines that work across data in relational stores and data lakes.
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**Azure Synapse** is an integrated analytics service that accelerates time to insight from all data at any scale, across data warehouses and big data analytics systems. It brings together the best of the **SQL** technologies used in enterprise data warehousing, **Spark** technologies used in big data analytics, and **Pipelines** to orchestrate activities and data movement. Azure Synapse comes with a web-native **Studio** user experience that provides a single experience and model for management, monitoring, coding, and security.
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Solutions like this are difficult to build, configure, secure, and maintain, which delays the swift extraction of intelligent insight.
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Azure Synapse provides the simplest and fastest way for an enterprise to get insights on any data at any size, using the analytics they are most familiar with. It integrates deeply with **Power BI** allowing data engineers to build analytics solutions that work end-to-end to provide Business Intelligence. Azure Synapse lets enterprises build predictive analytics with machine learning via its built-in support for **AzureML**.
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**Azure Synapse** is an integrated analytics service that accelerates time to insight from all data at any scale, across data warehouses and big data analytics systems. It brings together the best of the **SQL** technologies used in enterprise data warehousing, **Spark** technologies used in big data analytics, and **Pipelines** to orchestrate activities and data movement.
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Azure Synapse comes with a web-native **Studio** user experience that provides a single experience and model for management, monitoring, coding, and security.
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Azure Synapse provides the simplest and fastest way for an enterprise to gather insights on any data at any size, using the analytics they're most familiar with. It integrates deeply with **Power BI** allowing data engineers to build analytics solutions that work end-to-end to provide Business Intelligence.
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Additionally, Azure Synapse facilitates predictive model building and advanced analytics with machine learning via its built-in support for **AzureML**.
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## Key features & benefits
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### Industry-leading SQL
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***Synapse SQL** is a distributed query system, enabling enterprises to implement data warehousing and data virtualization
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scenarios using standard T-SQL experiences familiar to data engineers. It also expands the capabilities of SQL to
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address streaming and machine learning scenarios.
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***Synapse SQL** is a distributed query system that enables enterprises to implement data warehousing and data virtualization
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scenarios using standard T-SQL experiences familiar to data engineers. It also expands the capabilities of SQL to address streaming and machine learning scenarios.
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* Synapse SQL offers both **serverless** and **provisioned** resource models, offering consumption and billing options to fit your needs. For predictable performance and cost, provision pools to reserve processing power for data stored in SQL tables. For unplanned or bursty workloads, use the serverless, always-available SQL endpoint.
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* Use built-in **streaming** capabilities to land data from cloud data sources into SQL tables
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### Built-in orchestration via pipelines
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Azure Synapse comes built-in with the same Data Integration engine and experiences as Azure Data Factory allowing you to create rich data pipelines without using a separate orchestration engine.
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Azure Synapse comes built-in with the same Data Integration engine and experiences as Azure Data Factory, allowing you to create rich data pipelines without using a separate orchestration engine.
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* Move data between Synapse and 85+ on-premises data sources
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### Synapse Studio
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**Synapse Studio** is the web-native experience that ties it all together for data engineers, allowing them in one location to do every task they need to build a complete solution.
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**Synapse Studio** is the web-native experience that ties everything together for data engineers, allowing them in one location to do every task they need to build a complete solution.
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* Build an end-to-end analytics solution in one place: ingest, explore, prepare, orchestrate, visualize
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* Industry-leading productivity for data engineers writing SQL or Spark code: authoring, debugging, and performance optimization
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* Integrate with enterprise CI/CD processes
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## Next steps
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*[Create a workspace](quickstart-create-workspace.md)
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