Sql Query Best Practices

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Windows Azure SQL Reporting best practices for development

Editor's note: This blog post comes from the Windows Azure SQL Reporting project manager David Magar. Although people tend to adopt an existing Reporting Services project and place it on the cloud, you really shouldn't. Reports that are running well on the local server are deployed to the SQL Reporting reporting server may not have the same performance on the local server. Luckily, 3 simple modifications can produce faster running reports. This blog post will detail ...

Data Management DMS Service Platform Interprets DevOps Best Practices in Enterprise Databases

Shrinking to achieve, in Alibaba's 2017 double 11 singles day, our domestic trading unit used cloud resources to sharpen and expand at the peak, and after the spike, the expansion resources will be returned to the cloud, but in the actual operation, we really want What can we do to get the resources to the cloud when we need it, and go smoothly when we don't need it.

Delve into the performance of new levels in Windows Azure SQL database

April 24, we released a preview version of the SQL Database base level (preview) and standard (preview) new service levels and new business continuity features. In this blog post, we delve into the performance of new levels in SQL Database. Begin with the need for change. We focus on performance (specifically predictable performance) in new service levels, driven primarily by strong customer feedback on SQL Database Web-Level and enterprise-class performance. Web-and enterprise-level performance ...

Using hive to build a database to prepare for the big data age

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have.   This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

Post-large data age: from it to the user-oriented role transition

The implementation of the "TechTarget China original" Large data solution has put many IT departments in a dilemma. Large data applications do not require the same infrastructure as the support team does for applications. As companies accept big data, management assumes that the size of their workforce will be reduced. And what do non-essential technicians do? One answer is to transform it into a technical advisor and collaborate with the business unit. In other words, it's giving them a customer-facing role. The state of information technology after large data &nbs ...

Windows Azure Cloud Service Base –RDBMS partitions

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 ...

How to better develop large data strategy for enterprises

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...

How to better develop large data strategy for enterprises

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...

Following Cloudera, MapR announces full support for Spark

April 19, 2014 Spark Summit China 2014 will be held in Beijing. The Apache Spark community members and business users at home and abroad will be gathered in Beijing for the first time. Spark contributors and front-line developers from AMPLab, Databricks, Intel, Taobao, NetEase, and others will share their Spark project experience and best practices in production environments. MapR is well-known Hadoop provider, the company recently for its Ha ...

Component blocks Windows Azure uses to build powerful cloud applications

Following the publication of a design-strong cloud Application blog, the http://www.aliyun.com/zixun/aggregation/13357.html ">azure CAT Team Program provides code projects for publishing on the MSDN code base Detailed information and technical Instructions for components in the cloud services infrastructure in Windows Azure. We will launch a series of blogs and technical articles to illustrate the use of these basic building blocks, which we call components. In the next ...

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