What Is Data Warehouse

Big data is now a very hot topic, SQL on Hadoop is the current large data technology development in an important direction, how to quickly understand the mastery of this technology, CSDN specially invited Liang to do this lecture for us. Using Sql-on-hadoop to build Internet Data Warehouse and business intelligence system, through analyzing the current situation of business demand and sql-on-hadoop, this paper expounds the technical points of SQL on Hadoop in detail, shares the experience of the first line, and helps the technicians to master the relevant technology quickly ...

In the large data age, the Hadoop distributed processing architecture brings new life and challenges to it, data management, and data analysis teams. 　　With the development and expansion of Hadoop ecosystem, enterprises need to be ready for the rapid upgrading of technology. Last week, the Apache Software Foundation just announced a formal GA for Hadoop 2.0, a new version of Hadoop that will bring a lot of change. With HDFs and java-based MapReduce as core components, the early adopters of Hadoop ...

March 16, world-renowned 12th annual teradatahttp://www.aliyun.com/zixun/aggregation/8302.html "> Data Warehouse and Enterprise Analysis Summit held in Suzhou, the branch to" the ultimate interpretation of data value "as the theme , to explore how to make full use of the latest data warehouse and enterprise analysis technology, with the insight provided by the data source, quickly make the best business decision, grasp the business opportunities. In the afternoon of the branch field one, Verizon Technology project ...

The traditional business intelligence system only serves for the decision person, and is affected by the security factor, the analysis data can only be reflected in the local user terminal, but manifests the way almost is the ordinary computer. With the rapid development of computing and Internet technology, the mobility and activity space of sales, market and decision makers are more and more, more and more managers involved in decision-making, the real-time and interactive requirements of information transmission are more and more high, which puts higher demands on business intelligence. The development of the next generation business intelligence requires that it not only can provide strategic decision for senior decision-makers, but also can ...

Dynamic adjustment algorithm of file backup and distribution in telecom data Warehouse based on cloud platform Yang Miaomiao Li-Liu Jinghu Hadoop leverages a unified backup mechanism to ensure data availability and fault tolerance. However, for important blocks of files, you can only set the number of replicas by modifying the configuration file. By analyzing the access situation of data Warehouse files in telecom industry, this paper proposes a dynamic adjustment algorithm (BPDA) for file backup and storage to improve the data locality, so as to reduce the I/O and network consumption caused by data transmission, and to improve query efficiency. Using a multiple replica consistency hashing algorithm, probabilistic sampling and competitive weakening ...

Discussion on the construction of large data warehouse platform with cloud computing technology horse and good analysis of the current telecom operators in the construction of large data warehouses in the infrastructure faced by the technical problems, combined with the technical characteristics of cloud computing, this paper gives a solution of cloud computing technology and compares it with the traditional scheme, and analyzes the advantage factors of cloud computing scheme. Keywords: cloud computing technology, data Warehouse, large-scale parallel processing, column storage temp_12090709573798.p ...

The example demonstrates using the IBM BCU design architecture to benchmark TPC as data source (300GB data volume) and test case, showing the pull effect of "troika" on query performance. Whether in the POC test or in the real production system, query performance is an important indicator of customer concern. Through this article, the reader can fully understand the "troika" of the mystery, the text of the example demo to the reader has reference and referential significance. In the Http://www.aliyun.com/zixun/aggreg ...

Data Warehouse software and hardware provider Teradata released the third-quarter earnings, the quarter Teradata profit of 98 million U.S. dollars, or 59 cents per share, a total income of 666 million U.S. dollars, a 3% increase year-on-year. 　　Teradata has previously issued a warning that its sales and profitability will be lower than expected. Teradata said Hadoop had little impact on its business Teradata chief executive Mike Koehler said Teradata would continue to invest in large data analysis and integrated marketing tools, but ...

Hive is a data Warehouse architecture built on Hadoop. 　　It provides: • A set of convenient tools for implementing data extraction (ETL). 　　• A mechanism for users to describe their structure to the data. 　　• Support the ability of users to query and analyze massive amounts of data stored in Hadoop. The basic feature of Hive is that it uses HDFS for data storage and uses Map/reduce framework for data manipulation. So essentially, Hive is a compiler that puts the user ...

The big data age is putting pressure on data storage, and more and more organizations need to build a storage platform that can store large amounts of structured and unstructured data on the basis of cloud computing technology. 　　Cloud storage should be "cloud"-born. The so-called cloud storage, refers to through the cluster application, grid technology or Distributed file system functions, the network of a large number of different types of storage devices through the application software together to work together to provide data storage and business access functions of a system. The key to implementing cloud storage that adapts to user needs is to choose a strong data architecture based on application and deployment requirements ...

Data Warehouse Environment, ORACLE rac,100t data, daily archive that amount of 5T (for data that does not need to be backed up, has been adopted in a nologging way to reduce the number of files), how to develop backup and recovery scenarios? Programme I: DataGuard DataGuard is the most cost-effective backup and disaster-recovery solution, but when the archive exceeds a certain scale, DG Restore becomes the bottleneck, the daily production of the archive can not be restored in time, we have tried many tuning methods, including parallel recovery, can not be resolved, recovery ...

In recent years, more and more enterprises have focused on optimizing their business in order to gain greater and more lasting competitive advantage, which is inseparable from the analysis and utilization of the existing data of the enterprise, in order to create more value or avoid more risks and better optimize the business, the construction of a new generation of data center is put on the agenda. The new-generation data center is developed on the basis of traditional data warehouse and Dynamic Data Warehouse, which can be divided into three kinds: relational data center, non relational data center (based on Hadoop or enterprise content Management) and mixed data according to different data types.

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 ...

Column Message: cloud computing has opened the door for us. Enhancing cloud technology, adding cloud applications and highlighting the value of cloud, "China Computer News" and Microsoft (China) Co., Ltd. jointly organized the Windows Server cloud Chuangyi Competition, which lasted more than five months attracted a total of nearly ten thousand players to sign up, 103 teams participated in the enterprise level competition. The official website of the high volume of visits as much as 1.8 million times, the official microblogging interaction reached more than 10,000. Competition for the IT people to understand a cloud, cloud applications, experience the exchange of cloud, interactive, sharing platform. You think, cloud ...

Big data is changing the IT world completely. So, what kind of data can be discussed? According to IDC, global data will increase 50 times times over the next decade. In 2011 alone, we will see large data creation of 1.8ZB (i.e. 1.8 trillion GB). This is equivalent to every American writing 3 tweets a minute, and still writing for 26,976 years. Over the next decade, the number of servers managing the Data warehouse will increase by 10 times times to cater for 50 times times larger data growth. There is no doubt that large data will challenge the enterprise's storage architecture and data ...

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 ...

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Internet giants Google and Facebook have achieved huge value by managing and analyzing big data, prompting CIOs to ask whether emerging technologies can create brilliant results within their own businesses. The idea is partly encouraged by industry analysts predicting that big data will grow at breakneck speed. Wikibon predicts that by 2015 the big data market will jump from $5 billion trillion in 2012 to more than $30 billion trillion, up to $53.4 billion in 2017 (where you can ...).

As the pioneer of the Internet finance field, founded at the end of 2009 Ali Small Loan development intention is to Taobao and Cat on the seller to provide microfinance business, to achieve "let the world No difficult business" goal. With the rich form of products, the expansion of service objects, small loan business growth quickly, on average annual growth rate of four to five times times.       After nearly 5 years of development, there have been more than 360,000 people from Ali small loan loans, the minimum loan amount of 1 yuan. With the traditional bank ...

Teradata, chief executive of the Greater China region, Singlun, said in an interview with Sina Science and technology, with the arrival of large data era, enterprises should be in the internal training of three kinds of ability: first, the ability to integrate enterprise data; second, explore the value behind the data and the ability to develop precise action programmes; The ability to perform accurate and rapid real-time operations. Data rapid growth Teradata Company is an intelligent analysis solutions vendors, mainly for enterprises and government agencies do data integration, analysis, exploration, mining data behind the value, thereby enhancing customer production competitiveness ...