Scale Out Architecture In Big Data

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. For now, large data processing is facing three bottlenecks-large capacity, multiple format and speed, and the corresponding solution is proposed, which is extensibility, openness and next-generation storage technology. Capacity-high expansion ...

Dong Xin: Ladies and gentlemen, good afternoon, welcome to the Hello Cloud architecture of the sub-forum, I am sure that many of you have participated in the morning meeting this afternoon in the Cloud Architecture forum, where they sat together to discuss how to put the cloud's vision, how to put the big data to the final landing, how to make our calculation , our storage, our network, can be better integrated and played in the era of cloud application architecture change. So we are also very happy today to invite experts in the industry, corporate executives, including our customers and our partners, so here I also represent super ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

"Tenkine Server Channel" with the advent of cloud computing and large data, data growth is out of control, the lack of flexibility of data layout is easy to produce islands of storage resources, migration data is also a large number of human intervention, date upgrade cost and disruptive is very high, the traditional IT environment has been unable to adapt to rapid changes in demand. "Data growth out of control" for the drawbacks of traditional storage, businesses need storage that is able to achieve higher efficiencies at lower cost, requiring time-saving rather than time-consuming storage solutions, with the need for business needs.

As the most popular open source database, MySQL is widely used in Web applications and other small and medium-sized projects. However, in many large IT companies, MySQL has gradually deviated from the original open source version after being highly optimized and customized, more like a branch, such as the Webscalesql of Facebook, which was not long ago open source. 　　Recently, Mr. Xiong has published a blog post, from the perspective of large-scale web site architecture development of the changes in MySQL application, here for you to share. This article mainly describes the different and ...

With the rise of new businesses such as cloud computing, mobile Internet and Web2.0, traditional data centers have been unable to meet. The industry is setting off a new wave of data center construction, with the next generation of cloud computing data centers. Network is one of the important components of cloud data center, the network Architecture of cloud data center must have five new technology features: 100G Ethernet technology, surge cache, network virtualization, unified Exchange, green energy-saving technology. 100G Ethernet Technology Bandwidth pressure is the core problem of cloud data center network. In the data center, like video-on-demand, 10G FCoE ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

Large data will challenge the enterprise's storage architecture and data center infrastructure, and will trigger the ripple effect of cloud computing, data Warehouse, data mining, business intelligence and so on. In 2011, companies will use more TB (1TB=1000GB) Datasets for business intelligence and Business Analytics, and by 2020 global data usage is expected to rise 44 times-fold to 35.2ZB (1zb=10 billion TB). The challenges of large data for the vast number of data information, how the complex application of these data into the current data warehousing, business intelligence and data analysis technology ...

Microsoft recently announced the development of a open-source version of Hadoop compatible with Windows Server and Windows Azure platform. IBM announced the creation of a new storage architecture on Hadoop to run DB2 or Oracle databases as a cluster to enable applications to support high-performance Analytics, data warehousing applications, and cloud computing purposes. EMC has also launched the world's first custom, high-performance Hadoop dedicated data processing equipment--greenplum HD Data computing equipment, providing customers with the most powerful 、...

Now almost any application, such as a website, a web app and a mobile app, needs a picture display function, which is very important for the picture function from the bottom up. Must have a forward-looking planning picture server, picture upload and download speed is of crucial importance, of course, this is not to say that it is to engage in a very NB architecture, at least with some scalability and stability. Although all kinds of architecture design, I am here to talk about some of my personal ideas. For the picture server IO is undoubtedly the most serious resource consumption, for web applications need to picture service ...