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"Editor's note" predicts the future is a very crazy thing, and now the development of enterprise technology is always beyond our imagination. Eric Knorr, InfoWorld's editor-in-chief, predicts that 9 of the big technologies will be in place in 2015 or in the coming years. He believes that open source is the first choice for enterprises to obtain competitive advantage, as a developer should pay attention to technical hotspots, and around the core technology to build a similar docker, Hadoop and other ecosystems. The following is: 1. The public cloud will be successful this year, IaaS and PAAs of the melt ...

Docker is undoubtedly the most popular open-source technology this year, and Docker is now the darling of entrepreneurs and innovators in the IT world. Regardless of Google, Microsoft, Amazon, IBM and other technology manufacturers are actively supporting Docker technology, Docker although the introduction and use is very simple, but the whole ecosystem is quite large, and its underlying technology is also very complex, the current based on Docker technology projects springing up, today, The author summarizes the rapid evolution of the Docker related technology, to share with you. Kubernet ...

Absrtact: In the spring of 2014, USV established a new fund called USV 2014. The fund has so far made 6 investments, 5 of which are seed investments. Although this ratio will not continue to be maintained, it is indeed a return to USV investment style. Early stage (seed 2014 spring, USV established a new fund called USV 2014. The fund has so far made 6 investments, 5 of which are seed investments. Although this ratio will not be maintained, it is indeed a return to the USV investment style ...

On the evening of July 28, the "Data mining in the field of financial securities trading application Experience sharing", organized by the CTO Club of CSDN's senior technical Management headquarters, was held successfully at the Haidian Bridge Garage Café, the first line of the CTO Club's financial industry software Professional Committee since its inception. The event invited to Phoenix Senior technical manager Wang, and Rui Network CTO Gang Jianhua, Sohu Financial Division, senior engineer Zhaoschang, finance technical director Wu Yu and other guests, sharing in the securities trading market data analysis field involved in the experience and technology, and data mining ...

There seems to be a plot in a thriller that says, "It's easy ... It's so easy. "And then all things began to fall apart. When I started testing the top-tier Java cloud Computing in the market, I found that the episode was repeating itself. Enterprise developers need to be more concerned about these possibilities than others. Ordinary computer users get excited when there are new scenarios in cloud computing that make life easier. They will use cloud-based emails and if the emails are lost they can only shrug their shoulders because the electrons ...

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 ...

The platform is a service that allows cloud architects to use their own code as their first choice without having to provide virtual machines and manage the operating system, reducing the management of the infrastructure. In a market for emerging cloud computing, no one will question why you are not working with PAAs vendors, and the reasons are subtle. It is important to determine the correct PAAs model, as this is the only way to ensure that you build a flexible, flexible, and portable enterprise cloud. Therefore, which type of PAAs vendors should be aware of a platform for a particular programming language 、...

To understand the concept of large data, first from the "Big", "big" refers to the scale of data, large data generally refers to the size of the 10TB (1TB=1024GB) data volume above. Large data is different from the massive data in the past, and its basic characteristics can be summed up with 4 V (Vol-ume, produced, and #118alue和Veloc-ity), that is, large volume, diversity, low value density and fast speed. Large data features first, the volume of data is huge. Jump from TB level to PB level. Second, the data types are numerous, as mentioned above ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall recent open source database company MongoDB Vice President Matt Asay publishes an article, analyzes the Microsoft enters the big data domain, the possible development and the superiority, Asay thinks Microsoft has the historical tradition which develops the simple tool, So the development in the Big data field is still hopeful. Matt Asay is a well-known Open-source software expert with more than 10 years of experience, and before joining MongoDB he was vice President of social platform nodeable, and ...

In the week, 3 Big data startups got high investments: Splice Machine received $4 million in funding to develop a SQL engine for large data applications; MONGOHQ $6 million in investment to improve its database services BloomReach 25 million dollars in investment and will be used for large data application development. What is the reason for VC to big data favor? The three companies themselves are the answer. Splice machine executives say that using Splice's SQL engine ...

The first chapter: introduction of the portal, BBS, network community, personal blog, SNS, micro-blog, "Light blogging" has become a popular trend of internet development in the past 2011 years. This new network service, like microblogging, blog, is committed to providing users with the content to express their platform. 　　"Light Blog" not only has the expression of the blog and professionalism, but also has a simple and convenient microblogging and social communication skills. This article is from the development history of micro-blogging at home and abroad, Brief introduction of the concept of light blog, domestic and foreign well-known light blog providers and other angles to compare the narrative,...

During build 2012, we announced a new feature of Windows Http://www.aliyun.com/zixun/aggregation/13357.html ">azure: Windows Azure Store. Windows Azure Store makes it extremely easy for you to find and purchase the advanced add-on services provided by our partners for your cloud-based applications. For example, you can use wind ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

In large data projects, the full release of data value is often an important but complex goal. As I mentioned in the Enterprise deployment Hadoop solution (putting Hadoop to Work in the Enterprise), the Data warehouse is an important part of the [Big Data] puzzle ... 　　But successful big data projects need to integrate Hadoop, NoSQL and other open source platforms. To complete the large data puzzle, Teradata company recently announced the acquisition of Revelytix (development of H ...

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 ...

A few years ago, when people talked about the emerging NoSQL database technology, a considerable part of the view was that it was only a matter of time before NoSQL replaced traditional relational databases in large data markets. 　　Now, this prophecy has not materialized, Mitchell Kertzman's general manager Hummer Winblad that in most cases, NoSQL did not show the so-called revolutionary. As a veteran of the database, here's an excerpt from some points of view of Kertzman's video interview this week: What people need is actually SQL ...

Today, the concept of big data has flooded the entire IT community, with a variety of products with large data technologies, and a variety of bamboo seen for processing large data tools like rain. At the same time, if a product does not hold the big data of the thigh, if an organization has not yet worked on Hadoop, Spark, Impala, Storm and other tall tools, will be the evaluation of obsolete yellow flowers. However, do you really need to use Hadoop as a tool for your data? 　　Do you really need large data technology to support the data type of your business processing? Since it is ...

Research and Development Weekly: API dead, API forever! Published in 2013-03-15 13:18| Times Read | SOURCE csdn| 0 Reviews | Author She Bamboo Research and Development weekly Apigithub open source programming language Abstract: We carefully prepared for you the CSDN Research and Development Channel One week the most exciting technical hotspot, readers! Highlights of the week: Former Google senior researcher Zhao returned to venture sharing computer vision/pattern recognition experience; TIOBE March 2013 programming language rankings, Java, C ...

Hunt Cloud September 17 report (compile: Colin) are you still scratching to understand hive, Spark, pig these programming languages?       Don't worry, a competition is making it easier for non-professional users to use the complex, big data technology like Hadoop, and you can enjoy the extra benefits that make you rich.       Yes, that's you. A few years ago, Cowen&.

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...