A Data Warehouse Is

"The large data platform installed in Windows Server and System Center is called Microsoft Hdinsight Server and is installed on Windows Azure by the Microsoft Hdinsight Service" This definition comes from an MSDN blog, which may seem abstract, TechEd 2012 Technical Conference site, Microsoft Asia Pacific Research and Development Group chief technology Officer Sun Boke's speech, for everyone demo demo Hdinsight ...

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 ...

In the past few years, the rise of social media, the large number of applications of digital sensors and the widespread proliferation of mobile devices have led to the rapid generation of massive amounts of data. At the same time, how to get the useful value of large data becomes the key of firm decision. In this article, the author brings the Big Data solution for SAP, but asks for the proposal. SAP large Data solution is mainly focused on the database and data Warehouse level and enterprise information management level. Among them, the data warehouse and Data Warehouse solution mainly by the real-time data platform Hana, analysis type database ...

According to IDC, global data will reach 10 trillion TB in 2015, and the annual composite growth rate will reach 38% in 2020. Due to the lower cost of data, the rapid increase of data volume, coupled with the emergence of new data sources and data technology has evolved a variety of data types. Big data is waving at us. With large data, large data analysis and proper management will have a great impact on the enterprise data center. 　　As the world's largest database software company, Oracle is in time to launch a number of technology products for large data to meet the needs of enterprises and enhance their own value. ...

The concept of "big data" is not new. The age of the big data has come, but not everyone is accepting its baptism. 　　More precisely, what we now call "big data" it's what the internet bosses of Silicon Valley did a few years ago, and it's a new and interesting thing to think about today, because the technology that drives big data now is completely open source and popular with most companies and companies. In conversations with many of Europe's traditional businesses, we can be more aware that large data can be used in addition to developing applications in non-Silicon Valley ...

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 next generation of business intelligence development ...

The big data boom has sparked a major change in thinking, production and lifestyles, and it can be said that a new era has been opened up. For the financial industry with natural data attribute, on the one hand, large data can provide sufficient information support for the operation and management of financial institutions. On the other hand, large data-breeding new financial forms pose serious challenges to traditional financial institutions. What the financial institutions will do in this great social revolution is very much expected. 　　To this end, The Economist has invited a number of senior managers of financial institutions as well as industry experts to explore the financial sector in the big data era of change and development. ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

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 ...

As two of the most popular technologies in the field of information management, the hardware architecture of database integration machine and large data technology is basically the same, but the software system has the essential difference, which leads to the different characteristic performance. With the rapid growth of enterprise data and the continuous improvement of users ' requirements for service level, the traditional relational database technology has shown obvious lack of ability in production practice for a long time. How to obtain high availability of massive data at reasonable cost has become a major challenge in modern it field. In order to meet this challenge, in recent years, it market ...

In "2013 Zhongguancun Big Data Day" Big Data Internet Financial Forum, the sky Cloud Big Data Feng Dazhi brings "big data and financial innovation" keynote speech. Feng Dazhi: Good afternoon! I am very glad to have the opportunity to discuss with you the big data to help our financial industry. I very much agree with director Liu said that only the industry's big data, not that I pass a big data to create a new industry. Therefore, we look from the sky cloud this angle of view, before our product release we all understand, we hope to help enterprises grow together to solve problems encountered by enterprises. ...

Large data wave sweeping the world, the rise of large data age in recent years, with the Internet, cloud computing, things such as the rapid development of information technology, a new wave of technological revolution is sweeping the world with an irresistible posture, and quietly changing the public decision-making, business management, marketing and life aspects, 　　As a new disruptive technology change, this is the hottest topic at the moment-big data. The so-called "big Data" has two aspects of the connotation-mass and unstructured, its characteristics are summed up to 4 V, that is volume,variety ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

Big data and Hadoop are moving in a step-by-step way to bring changes to the enterprise's data management architecture. This is a gold rush, featuring franchisees, enterprise-class software vendors and cloud service vendors, each of whom wants to build a new empire on the Virgin land. Although the Open-source Apache Hadoop project itself already contains a variety of core modules-such as Hadoop Common, Hadoop Distributed File Systems (HDFS), Hadoop yarn, and Hadoop mapreduce--...

As companies begin to leverage cloud computing and large data technologies, they should now consider how to use these tools in conjunction. In this case, the enterprise will achieve the best analytical processing capabilities, while leveraging the private cloud's fast elasticity (rapid elasticity) and single lease features. 　　How to collaborate utility and implement deployment is the problem that this article hopes to solve. Some basic knowledge first is OpenStack. As the most popular open source cloud version, it includes controllers, computing (Nova), Storage (Swift), message team ...

The basic concepts of A/b test are described above, and we continue to explore how to implement A/b test. Let's take a look at a diagram: (Note: Thank Algo for providing this picture.) The above illustration shows the implementation principle of A/b test. From left to right, the four thicker vertical bars represent the four key roles in A/b Test: Client, server, data tier (data), Warehouse (Data-warehouse). Three forms of access are represented from top to bottom: normal access flow without A/b test ...

Many people have a misconception that there is an intrinsic balance between the number of datasets and the quality of the data they maintain internally. This problem appears frequently and becomes Tom's Financial Services information http://www.aliyun.com/zixun/aggregation/16967.html ">sharing and Analysis Center (FS-ISAC) and other places ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...