The count query statement generated by entity Framework 4 was previously found to be a problem with the paging SQL statement that it generated today, and LINQ to SQL does not. >>> take a look, and see! On code: Look at the generated SQL statement: 1. Entity framework-generated SQL: A top, three from. 2. LINQ to SQL generated sql: ...
Author information: This article is a joint work by Madhan Arumugam and Guy Bowerman of the SQL Server Cloud infrastructure team. Where SQL data is hosted, Windows Azure gives you two choices, SQL Server on the VM (hereinafter referred to as SQL/VM) and Windows Azure SQL database (hereinafter referred to as SQL DB). SQL/VM and SQ ...
You can think of it as a cloud version of SQL Server, but you can't simply think of SQL Azure as a cloud-built SQL Server. SQL Azure is a relational database that can be deployed in the cloud to provide customers with a service based on a relational database at any time. We can think of it as a cloud version of SQL Server, but it's not easy to think of SQL Azure as a cloud-built SQL S ...
The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...
This article will introduce big SQL, which answers many common questions about this IBM technology that users of relational DBMS have. Large data: It is useful for IT professionals who analyze and manage information. But it's hard for some professionals to understand how to use large data, because Apache Hadoop, one of the most popular big data platforms, has brought a lot of new technology, including the newer query and scripting languages. Big SQL is IBM's Hadoop based platform Infosphere Biginsight ...
Windows Azure is Microsoft's cloud infrastructure platform, and today, cloud computing has been widely used in many ways, so it has become a major part of Microsoft's overall strategy, and as a Windows Azure SQL database (formerly known as SQL Azure), Windows Azure has developed a lot of power. Microsoft has great expectations for azure, especially for Windows Azure SQL database (for simplicity, hereinafter referred to as SQL A ...).
Presumably every DBA would like to challenge the data import time, the shorter the work efficiency, the more sufficient to prove their strength. In the actual work sometimes need to import a large amount of data into the database, and then for various program calculation, this article will recommend a challenge 4 seconds limit to let millions data into SQL Server experiment case. This experiment will use the 5 method to complete this process, and detailed records of the various methods of time spent. The tools used are Visual Studio 2008 and SQL Server 2000, SQL S ...
Based on the Apache Hadoop 2.2 released last month, concurrent, a large data application platform expert, today unveiled a new version of cascading--'s large data application framework. Concurrent also launched cascading lingual 1.0, an Open-source project that provides a full ANSI SQL interface. Cascading is a stand-alone Open-source Java application framework designed as an alternative API for MapReduce. ...
Migrating data to the cloud is a major focus of the current discussion. You can quickly run an instance of SQL Server in Microsoft's SQL Azure cloud database and quickly load data for data analysis applications such as a new transactional application or report. However, migrating data to SQL Azure or Amazon EC2 requires great care. Protecting data in the SQL Server cloud is important because you don't want to expose customer data to unrelated people. SQL Azure Data Protection Azure Firewall first remember to start using s ...
The operating language of the data is SQL, so many tools are developed with the goal of being able to use SQL on Hadoop. Some of these tools are simply packaged on top of the MapReduce, while others implement a complete data warehouse on top of the HDFs, while others are somewhere between the two. There are a lot of such tools, Matthew Rathbone, a software development engineer from Shoutlet, recently published an article outlining some common tools and scenarios for each tool and not ...
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