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SQL Server2019帮助文档

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Microsoft SQL Server 是一个全面的数据库平台，使用集成的商业智能 (BI)工具提供了企业级的数据管理。Microsoft SQL Server 数据库引擎为关系型数据和结构化数据提供了更安全可靠的存储功能，使您可以构建和管理用于业务的高可用和高性能的数据应用程序

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ContentsContents
 SQL Server
 Docs navigation tips
 Previous versions 2005
-
2014
 Overview
 What's New
 SQL Server 2019
 SQL Server 2017
 SQL Server 2016
 Editions & Features
 SQL Server 2019
 SQL Server 2017
 SQL Server 2016
 Release Notes
 SQL Server 2019
 SQL Server 2017
 SQL Server 2016
 SQL Server 2014
 SQL Server 2012 Service Pack release notes
 SQL Server 2012
 SQL Server 2008 R2 SP2
 Big Data Clusters
 Overview
 What are SQL Server Big Data Clusters?
 Release notes
 Install
 Get Started
 Deploy
 Load sample data
 Install Tools

 Install big data tools
 Install azdata
 Install
 macOS
 Windows
 Linux with apt
 Linux with yum
 Linux with zypper
 With pip
 Deploy
 Deployment guidance
 Deployed resources
 Upgrade to a new release
 Customize deployments
 Configure storage
 Offline deployments
 Active Directory mode
 Deploy with high availability
 Master instance
 HDFS node name and Spark
 Kubernetes clusters
 Azure Kubernetes Service
 Kubeadm
 OpenShift
 Deployment scripts
 AKS python script
 ARO python script
 Single node kubeadm script
 Deploy with notebooks
 Concepts
 Application deployment
 Controller

 Master instance
 Data pool
 Storage pool
 Compute pool
 Security
 Private cluster
 Deploy
 Manage
 Restrict traffic
 How
-
to guides
 Configure
 Cluster
 SQL Server master instance
 Configure Apache Spark & Apache Hadoop
 Data virtualization
 Relational data
 Virtualize relational data
 Query Oracle data
 HDFS data
 Virtualize CSV data
 Query HDFS data
 HDFS tiering
 Mount ADLS Gen2 for HDFS tiering
 Mount S3 for HDFS tiering
 Manage HDFS permissions
 Data ingestion
 Load data with curl
 Load data with SQL
 Load data with Spark
 Restore a database
 Deploy and consume apps
 Deploy with azdata

 Deploy with VS Code
 Consume apps
 Run apps
 Monitor apps
 Big Data/Machine Learning
 Use Machine Learning Services 
(
Python, R
)
 Machine learning quickstarts
 Python
 Run Python scripts
 Data structures and objects
 Python functions
 Train and score a model
 R
 Run R scripts
 Data types and objects
 R functions
 Train and score a model
 Machine learning tutorials
 Python
 Ski rental 
(
linear regression
)
 Categorize customers 
(
k
-
means clustering
)
 NYC taxi tips 
(
classification
)
 R
 Ski rental 
(
decision tree
)
 Categorize customers 
(
k
-
means clustering
)
 NYC taxi tips 
(
classification
)
 Manage Python, R packages
 Python
 Get Python package information
 Install with sqlmlutils
 R
 Get R package information

 Install with sqlmlutils
 Create a miniCRAN repo
 Tips for using R packages
 Data wrangling using PROSE Code Accelerator
 Spark machine learning models with MLeap
 Use Sparklyr from RStudio
 Integrate Spark with SQL Server
 Manage
 Connect
 View cluster status
 Manage with controller dashboard
 Manage existing notebooks
 Run a notebook with Spark
 Performance
 Tuning guide
 Secure
 Kubernetes RBAC for BDC
 Update AZDATA_PASSWORD
 Manage user access
 Non root containers
 Multiple BDCs in the same AD domain
 Auto
-
generated AD objects
 AD DNS reconciliation
 Spark jobs
 Submit Spark jobs in Azure Data Studio
 Submit Spark jobs in IntelliJ
 Submit Spark jobs in Visual Studio Code
 Use extended Spark History Server
 Troubleshoot
 Troubleshoot Kubernetes
 Troubleshoot pyspark notebook
 Active directory domain group scope

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谭奇Tryharder

2021-09-08

全英文，。。。。。。。。。。。。。。。。。

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