What Is Data Warehouse

2012 is called the year of large data, more and more enterprises into the embrace of large data, the relevant manufacturers are also constantly introducing new products. According to the initial budget of the domestic relevant institutions, the future of China's large data potential market size is expected to reach nearly 2 trillion yuan. The IDC report also notes that the total amount of data created and replicated around the world in 2011 amounted to 1.8ZB, not only on the scale of the amount of data available in the physical universe known to humans, but also on the global amount of information every two years. This means that the opportunity for big data is already in the market. In order to grasp the market opportunity of big data, ...

People will expect you to give up some of the real work, such as programming, as your age increases and your personal conditions are limited. 　　Move to a bigger task, such as managing a team or raising money. This is true in academia, where the "real professor" decides the details, leaving only the "things in the direction". In other words, the organization faces vertical collaboration: Top managers manage some (cheaper) employees in a parallel structure. In research institutions, senior scientists put forward ideas, and the task of junior scientists is to achieve these ideas. Over time, advanced science ...

Large data is currently the hottest topic, although many manufacturers announced the introduction of large data products, but in practical applications, Hadoop has become the fact that large data processing standards, Facebook, Baidu, Ali and other Internet companies do not use Hadoop. Even business database companies such as IBM, Oracle, SAP, Teradata, and even Microsoft use Hadoop. 　　Jin Cang, the National People's Congress, also integrates Hadoop products in large data-side solutions. Hadoop ...

The rise of E-commerce, social media and mobile internet and the popularity of mobile smart devices have triggered explosive growth in large numbers of data. The real value of large data, so many traditional enterprises also want in the thinking, work mode, technology, etc., get large data wave baptism. 　　However, the lack of relevant talent is still the traditional enterprise to tame large data constraints. 2014 Mid-Autumn Festival to fall, whether it is a gift to friends or relatives or their own consumption, choose what brand of moon cakes have become a lot of people focus on the issue. At the end of August, China Statistical Information Service Center (CSISC) Large data research ...

The deeper insights provided by predictive analytics have created a much-appreciated competitive advantage for this specialist pharmaceutical company. Its internal http://www.aliyun.com/zixun/aggregation/10242.html "the questions asked by > Market researchers include: which diseases do not have any form of treatment?" Which drugs have serious side effects that can be avoided with new drugs? How satisfied are the patients with their treatment? How many patients can get help with some kind of medicine? The patient's knowledge of a particular drug is as much as ...

Wal-Mart, which created the classic business case of "beer and diapers", is one of the first traditional business giants to start investing and deploying large data applications, and it is popular to say that big data is not Wal-Mart, but Wal-Mart is a natural big data. Before the big data concept detonated the popular industry, Wal-Mart had already started the website database Integration migration and the Hadoop cluster expansion work, acquired Kosmix, built on this foundation Walmart Labs, and in recent years has embarked on the acquisition concentrates in the data mining or the mobile social start-up company like Oneops ...

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

"The big data is the soil, the Open data is the river on the land, the river flows, it will breed the developed data civilization." 　　"Shiji, an information management expert, said in an interview with reporters about the top of the data. 　　Shiji columnist, information management expert, graduated from Carnegie Mellon University in the United States, and received a master's degree in Information Technology science and public administration. The current discussion of large data is also limited to the conceptual and technical aspects of liberating the weekend: "Top of the data" is your second book after the big data, still focusing on big data. You ...

Over the past few years, with the transactional IT to interactive IT transition, corporate data began to show an explosive growth. Due to the rise of social media, the massive applications of digital sensors and the popularization of mobile devices have directly led to the rapid emergence of various large amounts of big data. This kind of multi-structured data market value is not high, but the huge amount of data contains a hidden huge wealth. Thus, how to effectively manage big data has become a topic of concern to the industry. According to 2011 Unisphe ...

Large data will evolve into important corporate assets in my opinion, the concept of large data can be explained in the following two aspects: 1. From a technical point of view, large data refers to the large amount of data and complex to be unable to use traditional database technology for governance and value discovery. 　　In this kind of demand, various NoSQL, Newsql, open source technology or commercial platform are emerging and evolving. 2. From a commercial point of view, large data will spawn many new business models. One, as long as the technology is sufficient, enterprises can integrate internal and external large data (such as social data, app data) ...

Research on the framework of large data analysis process Jinzongzefonyali Yang Zhengnan Zhang with the continuous innovation of information technology, the constant expansion of the volume of data has become a topic closely related to daily life. The value of digging up large data is already hot, and how to analyze large data more efficiently and quickly has become one of the major challenges of big data development. In recent years, academia and industry have studied the analysis of large data and obtained some research results, but the research on large data analysis is still very limited. In this paper, the traditional data warehouse and data warehouse of large data era are firstly ...

The Hadoop system runs on a compute cluster of commodity business servers that provide large-scale parallel computing resources while providing large-scale distributed data storage resources. On the big data processing software system, with the open-source development of the Apache Hadoop system, based on the original basic subsystem including HDFS, MapReduce and HBase, the Hadoop platform has evolved into a complete large-scale Data Processing Ecosystem. Figure 1-15 shows the Ha ...

Analysts and IT managers at Hadoop World told how important Hadoop is for the business. According to Kobielus, an analyst at Forrester Research, "Hadoop is a new type of data warehouse and a new source of data within the organization." Hadoop's advantage over traditional relational databases is its ability to store and manage more structured and unstructured data. Today's big data era, in order to open up customers, enhance industry ...

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

"Data will become a strategic ingredient, and every business, research team and government has a responsibility to collect, process, analyze and index data purposefully." "Zhou, director of the Internet Center of the Institute of Management, called for companies to devote large numbers to big data. But based on extensive research into 1144 business people and IT professionals in 95 countries, 26 industries, IBM has found that most businesses have recognized the potential of "big data" to improve decision-making processes and business outcomes, but they don't know how to start. It is true that ...

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.

Hive is what is in contact with a new thing the first thing to go back to is: What is this? Here is an introduction to the Hive Wiki: Hive is a data warehouse infrastructure built in top of Hadoop. IT provides tools to enable easy data ETL, a mechanism into put businessesflat-out ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host Technology Hall log is a very broad concept in computer systems, and any program may output logs: Operating system kernel, various application servers, and so on. 　　The content, size and use of the log are different, it is difficult to generalize. The logs in the log processing method discussed in this article refer only to Web logs. There is no precise definition, which may include, but is not limited to, user access logs generated by various front-end Web servers--apache, LIGHTTPD, Tomcat, and ...

With the full swing of large data analysis together grew up, is the daughter of hard to find "data scientists." The vision of Teradata's professional services team is to be the "data scientists" team that helps companies build. The continuous reduction of the price of computing and storage resources, the continuous evolution of Newsql and NoSQL database technology, the popularity of distributed processing systems on general-purpose server platforms such as Hadoop, make the task of statistical processing of large and unstructured data more rapid and cheaper than ever before. But the data itself has no value, only through tools and analysis, from the data to find ...

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.