What Is Data Warehouse

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

Microsoft customers running SQL Server will gain real big http://www.aliyun.com/zixun/aggregation/14345.html > Data processing capabilities through the introduction of Hadoop. Microsoft has released early-stage code that allows customers to access the Java architecture to SQL Server 2008 R2, SQL Server Parallel Data Warehouse, and the next generation of Microsoft ...

The wide application of science and technology makes the market environment and social state become more and more object-connected (instrumented), interconnect (interconnected) and intelligent (intelligent), and these three elements change the source of data, transmission way and use way, bring "big Data" The change in the information society. The big Data age has two distinct differences--a large number of new data is no longer applicable to traditional databases, while analytical capabilities are crucial to enterprise implementation of large data. These two differences mainly come from the big ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

Why large data analysis is important to the enterprise the purchase of analysis software and application system suppliers by major IT companies has become a daily phenomenon. We have seen the term "Big data analysis" used in many enterprise solutions. Large data is a general term used to represent a large number of unstructured data that is not stored in an enterprise database in a traditional relational format. The following are the general features of large data. Storage limit of data storage relative to current enterprise TB (TERA BYTES) byte, defined in PB (PETA BYTES) byte, ...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

When new technologies emerge, large telecoms, pharmaceutical and energy companies are deployed quickly, and retail, government and smaller businesses typically start to deploy after new technology has entered the mainstream market. In view of the fact that data virtualization is already in the mainstream market, how is the data virtualization deployment of SMEs? How will these companies benefit from this? What is Data virtualization? Data virtualization is a method of data consolidation, a technology that companies use to provide users with data business perspectives, improve business agility, and reduce IT costs. Data virtualization technology is a data integration middleware form, it ...

Teradata drives Global database technology change the smartest database software, the most intelligent analysis of China, Suzhou-the world's leading data analysis solutions manufacturer Teradata (Teradata Corporation, NYSE: TDC) Recently announced in the global issue of Teradata database 14 databases, the database has more than 80 new features and 60 new built-in analysis functions, to provide customers with transformative database technology, support breakthroughs ...

With the advent of cloud computing, "big data" has become one of the most widely discussed keywords in the industry, and many companies are already looking for the right bi tool to handle large data collected from different sources, but despite the increased awareness of large data, 　　But only a few companies, such as Google and Facebook, can really use big data to tap into business value. In fact, with the advent of the large data age, the enterprise's understanding of large data should not be limited to the basic technology such as Apache Hadoop, the enterprise should be from the infrastructure perspective to understand and ...

The NYSE, the world's largest stock exchange, faces a series of big Data challenges: processing input files up to 4,400, recording up to 145 + different types of transactions (or events), total trading volume 2.1 billion, total output 600000, and output record totals of 5.1 billion. In addition, each of the ETL characters involved in processing, transformation, enrichment and verification of DBK Trading securities, to meet the 300 analyst real-time data analysis needs, the most important thing is to protect the success rate of 99.999%. With such big data challenges, the NYSE needs to find ...

In the era of "big Data", modern information technology represented by Internet will fundamentally change the mode of modern financial operation. The characteristics of data magnanimity, diversification, rapid transmission and value will bring new challenge to commercial bank market competition. In the face of this "data earthquake", how is the banking industry changing and homeopathy? How to use high-quality data and strong and stable data analysis capabilities to develop a wealth of data applications to provide customers with intelligent and targeted services? How to deepen the application of large scale financial data and transform it into industrial competitiveness from two levels of strategy and implementation? Recently, Beijing ...

China Mobile unveiled the cloud computing system based on open source software, Sutra BC1.0, at its second cloud Computing conference, held yesterday. 　　It is understood that this time China Mobile released a large cloud products include part of the parallel data mining tools, distributed mass Data Warehouse, flexible computing system, cloud storage systems, parallel computing execution Environment of five products. Shaho, vice president of China Mobile, said at the press conference that the Chinese mobile has become a member of the country's first cloud computing development test bed and has built 1024-node cloud computing platforms and implemented the actual cloud computing ...

SQL Server introduces http://www.aliyun.com/zixun/aggregation/14255.html ">hadoop large data processing capacity release time: 2012.05.11 14:48 Source: Engine Room 360 Author: Computer room 360 Microsoft has released early code, so that customers can put this ja ...

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall with the rapid growth of network information resources, people pay more and more attention to how to extract the potential and valuable information from massive network information quickly and effectively, so that it can effectively play a role in management and decision-making. Search engine technology solves the difficulty of users to retrieve network information, and the search engine technology is becoming the object of research and development in computer science and information industry. The purpose of this paper is to explore the application of search engine technology in Network information mining. First, data mining research status Discussion network information digging ...

According to the IDC survey, global data volumes reached 1.2ZB at the end of 2010. By 2020, global electronic devices will have a 30 times-fold increase in data storage, up to 35ZB (equivalent to 1 billion 1TB of hard disk capacity). But for the prepared enterprise this is undoubtedly an information gold mine, with the progress of data mining technology, valuable information will become easy to obtain. With the advent of the large data age, data storage, data mining, and processing and analysis of large data-related technologies are more concerned than ever. Big data is becoming the cornerstone of enterprise development, and gradually ...

From the 2008 60-man "Hadoop in China" technology salon, to the current thousands of-person scale of the industry technology feast, the seven-year BDTC (large data technology conference) has fully witnessed the transformation of China's large data technology and applications, faithfully depicting the large data field of technology hotspots, Precipitated countless valuable industry experience. At the same time, from December 2014 12 to 14th, the largest China data technology event will continue to lead the current field of technology hotspots, sharing the industry experience. In order to better understand the trend of industry development, understanding of enterprises ...

Wayne Eckerson is a senior data specialist with over 15 years of industry experience in the fields of data warehousing, business Intelligence (BI) and performance management. At the turn of 2012 and 2013, he forecasts the direction of the BI market for the New Year and provides six key phrases for the broad DBA's reference. Hadoop changes the Data warehouse. Internet companies that want to try Hadoop and cloud computing need to migrate all their data, including master data, into Hadoop and turn those relational databases into data marts. This ...

The design and development of hospital financial management and decision system based on large data four military medical University Tang This thesis mainly completes the following work: 1. Analysis of the system requirement of hospital financial management and decision making based on large data the data from the existing hospital financial management information system and related subsystems, Through the export of financial and related data acquisition and analysis, and in accordance with China's financial software data Interim standard interface for standardization, standardization and customization. Through the establishment of modern hospital financial management framework, to meet the current hospital financial management digital ...

As more and more companies begin to dive into the torrent of big data technology, market demand for IT professionals is rising. 　　Today, people with the ability to collect, organize, analyze and build data from different sources are on the rise for their careers. In the current digital age, the volume of data is much richer than any period in history, and many times this richness even becomes a heavy burden. Companies are starting to devote a lot of resources to cloud technology, mobile technology and social media. Combined with these emerging areas, coupled with the enterprise's own operation of the inevitable ...