Sql Server Scalability Best Practices

Today's post comes from http://www.aliyun.com/zixun/aggregation/16689.html ">jason Roth, the main programming writer." He provides an overview of the new white paper from our customer consulting team, covering best practices for designing large services on Windows Azure. We have recently released a new white paper: Best practices for designing large services on Windows Azure cloud services. This document brings together the actual customers ...

Disk storage is like a closet, never enough, especially in the big data age. "Big data" means that more data is needed than a traditional storage platform. So what does this mean for CIOs? This means that they will need to do more, and there is little information available for reference. However, when choosing a storage service for large data, it is not entirely traceable. What is big data first, we need to be clear about the difference between large data and other types of data and the technology associated with it (primarily analytical applications). Large data itself means very much to use the standard save ...

Social media, E-commerce, mobile communications, and machine-machine data exchange make terabytes or even petabytes of data that the enterprise IT department must store and process.   Mastering fragmentation best practices is a very important step in the cloud planning process when users process data for cloud computing databases. Fragmentation is the process of splitting a table into a manageable size disk file. Some highly resilient key-value data stores, such as Amazon simple DB, Google App engine ...

The cloud storage Standard--CDMI specification, published by SNIa in April 2010, may have been a thrill for cloud-storage-related vendors, but how much does it do for the security and stability of cloud storage and the scalability of the current user's suspicions?     We don't know. Cloud storage was originally a concept that came out after cloud computing, but it didn't come up with a standard before cloud computing. This also fulfilled the phrase Bill Gates once said: "Cloud storage will be faster than cloud computing." Cloud ...

As companies begin to leverage cloud computing and large data technologies, they should now consider how to use these tools in conjunction. In this case, the enterprise will achieve the best analytical processing capabilities, while leveraging the private cloud's fast elasticity (rapid elasticity) and single lease features. 　　How to collaborate utility and implement deployment is the problem that this article hopes to solve. Some basic knowledge first is OpenStack. As the most popular open source cloud version, it includes controllers, computing (Nova), Storage (Swift), message team ...

Editorial Staff Note: This article is written by Azurecat Cloud and the senior project manager of the Enterprise Engineering Group, Shaun Tinline-jones and Chris Clayton. The cloud service base application, also known as "csfundamentals," shows how to build Azure services supported by the database. This includes usage scenarios that describe logging, configuration, and data access, implementation architectures, and reusable components. The code base is designed to be used by the Windows Azure Customer consulting Team ...

This paper mainly introduces the ISAS5710 system for Data mart and ODS application, and takes ISAS5710 Medium system as an example, it focuses on how to install and configure the ISAS5710 system, how to design and deploy the database of User data mart and relevant analysis and application, To help you quickly learn the basics of using ISAS5710 Rapid Deployment Data mart applications. With the continuous improvement of user's business system and the increasingly fierce market competition, more and more enterprises are building data Warehouse, Data mart ...