What Are Some Databases

In today's technology world, big Data is a popular it buzzword. To mitigate the complexity of processing large amounts of data, Apache developed a reliable, scalable, distributed computing framework for hadoop--. Hadoop is especially good for large data processing tasks, and it can leverage its distributed file systems, reliably and cheaply, to replicate data blocks to nodes in the cluster, enabling data to be processed on the local machine. Anoop Kumar explains the techniques needed to handle large data using Hadoop in 10 ways. For from HD ...

To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...

The development of the big data industry has been included in the National Development plan, and in 2014, "Big Data" first appeared in this year's "Government work Report". 　　"Government work Report" pointed out that to set up new industries entrepreneurial innovation platform, in large data and other aspects of overtaking advanced, leading the future industrial development. Large data construction is inseparable from high-performance database software, unfortunately, the current database market in China, Oracle [micro-BO], ibm[Micro-BO] as the representative of the foreign database software is still in the dominant position, a lot of database software for the government procurement is still accustomed to using foreign products, ...

Http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb and Cassandra are the two most popular NoSQL databases, MongoDB is the NoSQL field is worthy of the popularity of the king, while the Cassandra is the perennial occupation of the column storage field chief, compared with the hbase of concern for many reasons have been second. Recently Mydrive soulutions operation and Frame ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Large data is not only large, but also very complex, content and form are diverse, does not conform to the traditional database on the storage structure requirements. 　　A very important area for large data analysis is to develop database tools that can handle highly diverse workloads. This demand also explains why tech media are so focused on Hadoop. But a recent ...

If you think that Hadoop is ready to be your "single version facts" comprehensive repository, consider this before you leap. It is true that Hadoop has rapidly become the core component of the large data strategy for most enterprises http://www.aliyun.com/zixun/aggregation/14294.html >. But it is not mature enough to completely replace the Enterprise Data Warehouse (EDW). Because all of the benefits of Hadoop are concentrated as a unstructured data integration layer ...

Some problems faced with large data OLAP analysis release time: 2012.05.16 09:25 &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Source: Sadie Network Author: OLAP analysis requires a large number of data grouping and inter-table association, which is obviously not nosq ...

"IT168" April 2013 18-20th, the Third China Database technology conference (DTCC 2013) will be kicked off at four points by Sheraton Beijing Hotel. The Conference will continue to share the best practice of it application, focusing on large data applications, data architecture, data management (data governance), traditional database software and other technical fields, and will invite a group of top technical experts to share. This session will be based on the traditional theme of retaining database software application, to large data, data structure, data management and analysis, business intelligence ...

Big data and Hadoop are moving in a step-by-step way to bring changes to the enterprise's data management architecture. This is a gold rush, featuring franchisees, enterprise-class software vendors and cloud service vendors, each of whom wants to build a new empire on the Virgin land. Although the Open-source Apache Hadoop project itself already contains a variety of core modules-such as Hadoop Common, Hadoop Distributed File Systems (HDFS), Hadoop yarn, and Hadoop mapreduce--...

I first http://www.aliyun.com/zixun/aggregation/7415.html "> Self-introduction, I engaged in IT industry 10, years ago is an architect, now in an internet company as product manager, below is personal experience , as well as with some cloud computing architects to exchange the experience of the summary, the following on the Beijing-East Cloud Database For example, there are improper please forgive me. What is a shared database talking about "shared database", what puzzles us most is "...

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 ...

After Oracle formally acquired SUN in 2010, Oracle CEO Larry Ellison disclosed to the public that it will compete with and beat IBM in high-end systems and compete with SAP in the application area And beat it. In 2013, Oracle's high-end M systems redefined extreme performance by defeating IBM Power systems in terms of price / performance and memory capacity. In addition, Oracle SaaS applications have been fully brought to market, with subscriptions up 35% by the end of the year. & nb ...

Tencent Technology News (Lou Chi) July 3, Microsoft and Oracle announced a partnership, customers can run and deploy Oracle software on Windows Server Hyper-V and Windows Azure. The specific terms of the cooperation plan are not disclosed. Microsoft CEO Ballmer said: "Microsoft has long been committed to fully meet the needs of enterprise development, and a clear insight into the private cloud, the public cloud and at the same time across the two companies to run the business tasks of the demand." Now, our customers can be like over the years in wi ...

Recently, I am convinced that the APM Application Performance Management version 2.0 has been released, further enhancing the breadth and depth of its APM solution in the field of in-depth monitoring and analysis of application component performance. Deep conviction technology Optimization product line operation Manager Yuan said that the APM2.0 version enhanced performance monitoring of Oracle databases and WebLogic middleware, and added active detection technology for the health of application systems, which would help users better manage their applications. APM (creator configured Management ...

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for Web applications. Products between relational and non relational databases are among the most functionally rich and most like relational databases in relational databases. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. MONGO the most characteristic is that he supports the query language is very powerful, its syntax is somewhat similar to the object-oriented query language, can almost actually ...

The internet has never been a peace, whether in the era of cloud computing or large data era, the Internet world is always undulating, before the advent of cloud computing, Oracle, MSSQL, MySQL, Postgres and other relational databases entrenched data kingdom most of the country, few can shake its position. But now the information is flying in the era changed this situation, with the rapid increase in data traffic ...

I have opened eight services, but in fact may be used in two or three kinds, today I come to a novice perspective ECS cloud server, relational database RDS, open storage services OSS, content distribution network CDN, cloud engine ACE I have no thought of using Alibaba cloud, because I am currently on a blog (Japanese IP, however, before 5, on the million net virtual host), in addition to write some of their own Test program DEMO, on Sina SAE (write cloud engine AC later ...

For all applications around cloud computing, the current application of public cloud services represents only a fraction of total IT spending. This will not change unless key mission applications, which account for the bulk of the corporate budget, move to the public cloud. The biggest bottleneck in public cloud applications seems to be the high cost of cloud storage. Web-related cloud applications may store hundreds of megabytes of data, while mission-critical applications may store terabytes of data, which, at current prices, are more expensive to store than most users can afford. But thankfully, we have two strategies to ...

The concept of "cloud computing" is rapidly rising around the world: 2010, China's cloud computing market size reached 55.93 billion yuan, an increase of 29.3%. It is estimated that 2011-2015, the annual composite growth rate of more than 50%. 2011 Global Cloud Computing Market size will reach 40.7 billion U.S. dollars, 2020 will increase to 241 billion U.S. dollars.       By 2015, China's cloud computing industry chain will reach 750 billion to 1 trillion yuan. But again ...

Location-and time-dependent VPD for privacy-preserving WIRELESS accesses to CLOUD SERVICES Jong P. Yoon MATH /cis Department, Mercy Eton, Dobbs Ferry, New York, usaabstract ...