Sync Two Sql Server Databases

We are pleased to announce that the SQL Data Synchronization service has been updated and can now operate in all Windows http://www.aliyun.com/zixun/aggregation/13357.html >azure data centers. The past two updates (June, August), in addition to the general reliability improvements for the preview version, bring the following enhancements: • Enhanced support for spatial data types (including geography and geometry) • New features: Users can cancel ongoing data with ...

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier. Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. Today, service providers are using cloud technology to introduce more ways to host these databases in a public cloud, from cumbersome ...

IDC predicts that large data will increase structured and unstructured data at a rate of 60% per annum. Industries need to be well prepared for these new data, and the traditional database has been the answer to this question. However, through cloud technology, vendors have introduced more ways to host these databases in the public cloud; cloud service providers provide a range of services that allow users to easily complete database extensions, freeing users from cumbersome database hardware customizations. Jeff Kelly, an expert in Wikibon, a big data research firm, said: "Given the trend of big data, ...

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

Symmetricds is a data synchronization/replication software based on a web-independent database. It is an open-source software that supports replication of multiple primary databases, filtering synchronization, network crossover in heterogeneous environments, and a single direction or two-way asynchronous data replication provided by multiple users. It uses web and database technology to replicate between real-time http://www.aliyun.com/zixun/aggregation/22.html "> relational databases and tables." The software is designed to extend ...

The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But what's the difference? Today's enterprise Data Warehouse ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But what's the difference? Today's enterprise data warehouses and relational databases are good at dealing with ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...