Is An Excel Spreadsheet A Database

Metamodel a model for creating a compatible SQL database domain. A meta model is a model that contains classes that represent a database (schema, table, column, relationship) and run the Database (query) interactive structure in the same way as sql/linq. In short, it is a http://www.aliyun.com/zixun/aggregation/14208.html "> Data Model" in databases and other data stores. The meta model can query different data stores in the database, CSV ...

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 ...

Lead: In the big data age, manufacturing enterprises should take advantage of manufacturing intelligence (MI) technology to fully explore the huge business value behind the data. 　　Enhance http://www.aliyun.com/zixun/aggregation/9139.html "> product quality, reduce quality cost, in order to stand out in the fierce market competition. "In the big data age, manufacturers have to re-examine their production quality data and, with the help of manufacturing Intelligence (MI) technology, discover the huge amount of sleep behind the data ...

Emerging big data companies have sprung up. The rapid rise of major manufacturers, "large Data" is the program to strive in the future huge market demand relies on its own innovation for customers to create unique value. IBM offers biginsights, Bigsheets, and Bigcloud just a few years ago, IBM started experimenting with Hadoop in its labs, but it incorporated products and services into the commercial version last year, before Oracle and Microsoft announced they would actively accept the platform. IBM in the last year ...

The year of "Big Data" for cloud computing, a major event for Amazon, Google, Heroku, IBM and Microsoft, has been widely publicized as a big story. However, in public cloud computing, which provider offers the most complete Apache Hadoop implementation, it is not really widely known. With the platform as a service (PaaS) cloud computing model as the enterprise's Data Warehouse application solution by more and more enterprises to adopt, Apache Hadoop and HDFs, mapr ...

Data reporter's essential skills a complete data news department typically requires three types of people: editors, data reporters, and network engineers. In some large online and nonprofit news organizations, data reporters often work with network engineers, one for content integration and the other for technology. With the advent of the large data age, we can access more and more data, but to the vast database analysis and collation, it requires some statistics and programming knowledge. I first contacted the "Data News" is in the Graduate school, when the Professor introduced some common tools for everyone, such as e ...

As the key word in the IT field, the "Big Data" is always in the spotlight, and the analysis and utilization of it has attracted much attention. On the other hand, problems that cannot be solved by IT technology, existing organization and talent skills are gradually surfacing. This requires "the analysis of data and its integration with the business technology." This paper summarizes the technologies needed to apply data analysis to the business and how to implement effective information applications in the enterprise. At the same time, it also lists the advanced examples of Japan and abroad. Three major technologies below, let's take a look at the big data age of the technology companies need? Business Skills This ...

At present, there are many talk about large data at home and abroad, mostly talk about the operation level, or from the service side, the service side raised more. I want to communicate with you the problem is as a variety of enterprises, especially the client side of the enterprise, the big data and what their relationship, or as the enterprise side how to participate, this is the biggest problem facing the enterprise now. The main answer to this question is that large data should start small. Because now many enterprises are facing the biggest problem is not how to use large data, but some of the internal small data integration problems, or small data are not good in the case of how to use ...

How do I get data to drive a business? This is a key issue that companies must think about in the big data age. Today, enterprises need to deal with too many business unit needs, and the complexity of data determines that enterprises must use business intelligence to cope with the change of business needs and uncertainty, information processing capability determines the success or failure of the enterprise key. Many enterprises spend a lot of financial resources, manpower, material resources to build online transaction processing (OLTP) and Enterprise Resource Planning (ERP), accumulated a large number of data, but the traditional analysis tools are difficult to timely and accurate business analysis of these data, business intelligence ...

At present, there are many talk about large data at home and abroad, mostly talk about the operation level, or from the service side, the service side raised more. I want to communicate with you the problem is as a variety of enterprises, especially the client side of the enterprise, the big data and what their relationship, or as the enterprise side how to participate, this is the biggest problem facing the enterprise now. The main answer to this question is that large data should start small. Because now many enterprises are facing the biggest problem is not how to use large data, but some of the internal small data integration problems, or small data are not good in the case of how to use ...