Apache Migration

VMware today unveiled the latest open source project--serengeti, which enables companies to quickly deploy, manage, and extend Apache Hadoop in virtual and cloud environments. In addition, VMware works with the Apache Hadoop community to develop extension capabilities that allow major components to "perceive virtualization" to support flexible scaling and further improve the performance of Hadoop in virtualized environments. Chen Zhijian, vice president of cloud applications services at VMware, said: "Gain competitive advantage by supporting companies to take full advantage of oversized data ...

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For now, email is a key business tool for most companies, but for e-mail, there are flaws in the company's strategic management. As a result, many companies are reluctant to run mail servers 24x7 to focus on Microsoft Exchange's central coordination and efficient address management capabilities. Microsoft has entered the hosting/Cloud email host market, and Microsoft Office 365 is the fastest-growing product in Microsoft's company. In contrast, Office 365 migration becomes particularly important, and e-mail communication is particularly critical, so you must ensure that office ...

2008, http://www.aliyun.com/zixun/aggregation/1560.html ">facebook gave a gift to large data users. Social giants open source Cassandra--nosql large data distributed databases. 　　Today, with the advent of Cassandra 2.0, this gift is becoming more precious. Since 2008, under the direction of the Apache Software Foundation (ASF), Cassandr ...

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

There is no doubt that big data has become a buzzword for 2012 years. Large data processing has reached $70 billion trillion this year and is growing at an annual rate of 15–20%, according to reports from foreign statistical agencies. Almost all major tech companies are interested in large data and have invested heavily in the products and services in this area. These include IBM, Oracel, EMC, HP, Dell, SGI, Hitachi, Yahoo, and so on, and the list continues. IBM also released a large data processing and analysis technology in mid-2011: ...

Walking in the almost vacant, cave-like building, it still looks like a trucking depot until AMD took over more than two years ago and converted it into a data center. 　　Although the 153000-square-foot building looks more like an idle warehouse, Dominguez and Bynum see a space full of data halls where AMD, the chipmaker, runs the entire North American business and engineering work. Two executives are pushing a data center integration program for AMD, from Texas, California to branch ...

Analysis is the core of all enterprise data deployments. Relational databases are still the best technology for running transactional applications (which is certainly critical for most businesses), but when it comes to data analysis, relational databases can be stressful. The adoption of an enterprise's Apache Hadoop (or a large data system like Hadoop) reflects their focus on performing analysis, rather than simply focusing on storage transactions. To successfully implement a Hadoop or class Hadoop system with analysis capabilities, the enterprise must address some of the following 4 categories to ask ...

Cloudstack was developed by Vmops in 2008, and Vmops renamed Cloudstack.com in May 2010, with the release of version 2.0. Last July, Cloudstack.com acquired the 3.0 edition. This April, Cloudstack contributed to the Apache community with open source. October Cloudstack released the first version of--cloudstack4.0 as a community. Mid-November, in Las ...