What Is Data Warehouse

When you hear the name Guevara, most people will Guevara summed up as one word - "sell movie tickets." Cinema ticketing can be said that Guevara is the core business, whether it is from the user volume (15 million users), the number of seats available online selections (expected by the end of more than 1000 mainstream cinema), or sales (accounting for 75 % Of the share, this year is expected to achieve sales of nearly 1 billion yuan) point of view, in the movie ticketing this segment, Guevara can be said at the moment is a dominance. The operation of O2O projects has its own complexities, requiring the settlement of a certain area of ​​the franchise, so Guevara will also account for ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...

Those who recommend putting everything in the Hadoop database clearly forget some of the bitter lessons that have occurred in the history of the database. Although there is a proverb called "Elephants will never forget", I still doubt the meaning of this proverb. I know a special kind of elephant--their name is Hadoop, and these elephants don't seem to remember that they are http://www.aliyun.com/zixun/aggregation/8302.html to enterprise class.

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...

Microsoft is currently identifying applications, cloud computing and large data products that are most likely to be the next 1 billion dollars in its business. Currently, Microsoft has more than 10 unique products or services that have an annual revenue of more than $1 billion, including Windows, Office, Xbox, SQL Server, System Center, Unified Communications, SharePoint, development tools, Dynamics (ERP & CRM), as well as online display and search ads, which SharePoint revenue in 2012 ...

Information from multiple sources is growing at an incredible rate. The number of Internet users has reached 2.27 billion in 2012. Every day, Twitter generates more than TB of tweet,facebook to generate more than TB log data, and the New York Stock Exchange collects 1 TB of trading information. Approximately 30 billion radio frequency identification (RFID) tags are created every day. In addition, the annual sales of hundreds of millions of GPS equipment, is currently using more than 30 million network sensing ...

IBM's business intelligence began with data marts, helping IBM address reporting and http://www.aliyun.com/zixun/aggregation/11009.html "> Analysis issues for specific business areas such as finance and marketing." However, we also find that data marts create problems at the same time, such as the ability to achieve compliance, security, governance, and increasingly popular (increasingly scary) data redundancy! Many CFOs were jailed for failing to disclose the truth.

The Apache hive is a Hadoop based tool that specializes in analyzing large, unstructured datasets using class-SQL syntax to help existing business intelligence and Business Analytics researchers access Hadoop content. 　　As an open source project developed by the Facebook engineers and recognized and contributed by the Apache Foundation, Hive has now gained a leading position in the field of large data analysis in the business environment. Like other components of the Hadoop ecosystem, hive ...

One of the biggest hot topics at the Hadoop summit this year is http://www.aliyun.com/zixun/aggregation/13456.html "> Cloudera and Hortonworks the competition between the highly renowned competitors. Now, as the market matures, the rivalry between the two sides has been white-hot, and Cloudera's recent news of a large financial bailout led by Intel has helped. But it's really a ...

The operating language of the data is SQL, so many tools are developed with the goal of being able to use SQL on Hadoop. Some of these tools are simply packaged on top of the MapReduce, while others implement a complete data warehouse on top of the HDFs, while others are somewhere between the two. There are a lot of such tools, Matthew Rathbone, a software development engineer from Shoutlet, recently published an article outlining some common tools and scenarios for each tool and not ...

NoSQL database is currently managing http://www.aliyun.com/zixun/aggregation/13584.html "> Mass data in Web applications and other systems. 　　In the future, the NoSQL system will adapt to real-time analysis, and become a part of enterprise-class NoSQL Data system integration work. Recently, executives from Oracle, MarkLogic and FOUNDATIONDB, as well as nosql-field companies, held nosq in San Jose, California ...

With the advent of the software definition era, business is growing, data volume and the pressure of the system also follow. From the traditional relational database to the dedicated data warehouse, from the minicomputer to the current popular x86 server, the technical architecture has changed greatly. Users need to focus on not just a single server or storage node, but the entire IT system, including the performance, security, and reliability of the overall system architecture. According to traditional concept, users may be more inclined to choose minicomputer when they build enterprise data center, and now the x86 server is from performance, reliability and security ...

Hadoop is a highly scalable, large data application that can handle dozens of TB to hundreds of PB of data through fewer than thousands of interconnected servers. This reference design realizes a single cabinet of Hadoop cluster design, if users need more than one cabinet of Hadoop cluster, can expand the design of the number of servers and network bandwidth easy to achieve expansion. Hadoop solution The features of Hadoop design Hadoop is a low-cost and highly scalable large data place ...

What exactly is hive? Hive was originally created and developed in response to the need for management and machine learning from the massive emerging social network data generated by Facebook every day. So what exactly is the definition of Hive,hive's official website wiki? The Apache hive Data Warehouse software provides query and management of large datasets stored in distributed, which itself is built on Apache Hadoop and provides the following features: it provides a range of tools Can be used to extract/Transform Data/...

While technology like http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb,mapreduce" is seen as a hallmark of innovation, companies rely on sophisticated technologies such as SQL. 　　Mining important business models from these data becomes very difficult when the enterprise needs to collect more data formats, especially when new formats are not supported by SQL. When faced with such a problem, the market ...

The BI (business Intelligence) system is a popular system for CIOs, because it allows CEOs to personally experience the value of information, and the growing popularity of mobile bi speeds up the use of business intelligence systems by CEOs. "Ufida Huabiao general manager Miao to reporters. As we all know, the source of BI is data, and the object of BI is data. According to IDC forecasts, from 2009 to 2020, the total amount of data will increase 44 times times, to reach 35ZB. Of these, 80% of the data is unstructured data. There is no doubt that with the advent of the big data age, massive data to B ...

Recently, in the Sybase IQ 15.4 Media activities, CSDN United several technical media jointly interviewed Sybase China technical director Lu Dongming. Lu Dongming shared views on the impact of large data on traditional database vendors, the comparison of column-and row-style databases, and other hot topics. Sybase China technical director Ludoming Ludomin first introduced SAP's 5 major database products: Sybase re-use Server enterprise abbreviation ASE (line database) Sy ...

The hottest three key words in the big Data age are: Cloud, big data, analysis. The heat of cloud computing does not need to repeat, because no matter you look at Weibo or browse the site, if three pages can not see a cloud word, that means you must not be in IT industry. However, people often see cloud computing, and do not know how to do, what kind of things. Cloud computing, if not used to do analysis, then you can only cloud, the cloud, never to the cloud for rain. What is large data? What is the rationale? Let's take a look at the history of the word big data. In the 60 's, people ...

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. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...

From the current development of retailing industry, the construction and promotion of business information automation management system can be divided into two parts: extension function and internal function. First, how to build, enhance the extension function 1, efficient consumer response (ECR): ECR is the retail enterprise to meet customer demand solutions and core technology, the goal is the most efficient to meet the growing and diverse needs of consumers. Only in order to better meet the needs of consumers, retailers, distributors and manufacturers can survive and development, to be more competitive. ECR is the circulation of the supply chain of enterprises in the way of business partners tight ...