Azure SQL Database Edge
Furkejuvvon:
| Publikašuvnnas: | Database Trends and Applications vol. 33, no. 4 (Aug/Sep 2019), p. 39 |
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| Váldodahkki: | |
| Almmustuhtton: |
Information Today, Inc.
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| Fáttát: | |
| Liŋkkat: | Citation/Abstract Full Text Full Text - PDF |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
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MARC
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| 045 | 2 | |b d20190801 |b d20190930 | |
| 084 | |a 111814 |2 nlm | ||
| 100 | 1 | |a Kline, Kevin | |
| 245 | 1 | |a Azure SQL Database Edge | |
| 260 | |b Information Today, Inc. |c Aug/Sep 2019 | ||
| 513 | |a Commentary | ||
| 520 | 3 | |a [...]Introducing Azure SQL Database Edge Millions of developers worldwide are familiar with the SQL Server database engine and want Microsoft to provide them with a consistent programming experience no matter where their application resides, whether that be in the cloud, on-premise, or at the edge. Here is what Azure SQL Database Edge offers: * Build once and deploy anywhere, including Azure SQL Database, SQL Server, and Azure SQL Database Edge * Bi-directional data movement between the edge and on-premise or the cloud for an intelligent store-and-forward pattern * Strong security built into Azure SQL Database for fully encrypted data both at-rest and in-motion on edge nodes and edge gateways * Ability to combine data streaming and time-series with in-database machine learning to enable low latency analytics * Cloud connected and fully disconnected edge scenarios with local compute and storage. Management of the entire system from a central management portal from Azure IoT. * Support for existing data visualization tools such as Power BI and Tableau. * Full programmatic support for T-SQL language, as well as analytic support using R, Python, Java, and Spark. * Support for processing and storing graph, JSON, and time series data in the database, coupled with the ability to apply analytics and in-database machine learning capabilities on non-relational datatypes. | |
| 610 | 4 | |a Microsoft Corp | |
| 653 | |a Encryption | ||
| 653 | |a Data base management systems | ||
| 653 | |a Scientific visualization | ||
| 653 | |a Internet | ||
| 653 | |a Mathematical analysis | ||
| 653 | |a Storage | ||
| 653 | |a Cloud computing | ||
| 653 | |a Data transmission | ||
| 653 | |a Software upgrading | ||
| 653 | |a Machine learning | ||
| 653 | |a Servers | ||
| 653 | |a Query languages | ||
| 653 | |a Databases | ||
| 653 | |a Computer centers | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Edge computing | ||
| 773 | 0 | |t Database Trends and Applications |g vol. 33, no. 4 (Aug/Sep 2019), p. 39 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Trade & Industry | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2296535401/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2296535401/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2296535401/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |