What Is Data Warehouse

The public cloud not only changes the price structure of computing and storage, but it also expands the scope of what enterprise it can do. This is especially true when working with large datasets, where there is no practice for flexible computing and storage access. The loose definition of "big Data" is a dataset that is too large to be processed with traditional data management techniques and infrastructure. Detailed server logs, click Stream data, social network data, and mobile device data are complementary to transactional data types in the Data warehouse and in business intelligence systems. In addition, the public cloud data repository and Third-party accelerators also provide large data set topics from T ...

Today we have entered a large data age, because the emergence of innovative data management technologies enables organizations to analyze all http://www.aliyun.com/zixun/aggregation/18278.html "> Data types." It also allows businesses to discover new business opportunities every day. With the development of Internet technology, a great amount of information is produced every day in the network, which includes semi-structured and unstructured data. Organizations can learn about them by analyzing massive amounts of information ...

Large data is not only a http://www.aliyun.com/zixun/aggregation/8302.html "> Data warehousing Technology or BI (business intelligence) upgrade version, but also a revolution." Big Data Manifesto: No Fear, no doubt, big data is a big change. When the first world revolution, we were thinking about how to reduce the number of data and how to archive it, but how to collect more data and analyze it. At that time, we were not afraid of being threatened by the volume of data ...

1. Understanding large data large data analysis originated from large network service providers, such as Google, Yahoo, Twitter, they need not only the data generated by users, but also want to maintain the competitiveness of enterprises. Your company may be a very small company, and there will be a lot of data. "In the next few years, many industries, including healthcare, the public sector, retailing and manufacturing, will benefit from big data analysis," said GigaOm research director Jo Maitland, a consultancy firm in a recent report. ...

July 12 News, 2012 China CIO Summit Forum held in Jiuzhaigou, the following is the main title "Big Data is a lie?" Peak dialogue. Sun Yu: Welcome you back, our afternoon meeting to continue, the morning of our activities, in micro-blogging business launched a lively discussion, the Jiuzhai activities we use Sohu and Tencent Weibo, users can send: #2012中国CIO高峰论坛 #+ arbitrary content participation, Mobile phone users to participate in the way please see the big screen below, welcome attention and participate in the on-site interaction. I am "IT Manager World" magazine senior Editor ...

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 ...

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 ...

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.

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 ...

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 ...

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!...

Communications industry reporter Igia 3G business makes the telecom market competition environment become more and more intense. In terms of business, the 3G provides a more flexible, diverse, personalized business and application; In business models, unimpressed is a more open system and a more complex value chain, which poses great challenges to operators in customer service and business management.　　Therefore, the operator for user analysis and data mining needs become more and more obvious, the background of the Business Analysis System (BASS) to become a successful 3G business operation of the basic guarantee. Shanxi Mobile as the earliest introduction of BSS ...

Data value-added applications: For operators, data analysis has great prospects in the government service market. Operators can also make big data technologies play a bigger role in transportation, emergency response, and stability.

Early enterprises are also relatively simple. The data stored in relational databases is often the source of all their data. At this time, their corresponding big data technology is the traditional OLAP data warehouse solution.

In order to meet the ever-changing business changes, Jingdong's Jingmai team has adopted a popular open source big data calculation engine such as Hadoop on the basis of Jingdong Big Data Platform to create a decision-making data product for JD operations and products.

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.

= 08 Graduation, unknowingly infiltrated the e-commerce industry, and unknowingly did three years of data analysis, just catch up with the internet E-commerce industry development of the fastest years, is not bad, after all, feeling the future is still very bright. Three years, can say with a lot of colleagues learned a lot of things, need to thank a lot of people, they selflessly taught me a lot of things. As far as the data analysis profession is concerned, personal feeling is very important for internet companies and it is something that can actually bring real results. For example, the use of data analysis to make members of the subdivision for precision marketing;