Raw Data Type Oracle

The intermediary transaction SEO diagnoses Taobao guest stationmaster buys cloud host technology Hall the article before--the website data analysis Some questions 2 mainly collates the bi related question, this article mainly wants to organize some data warehouse related question. Because I recently looked back at some data warehouse information and books, want to put forward as well as the current problems to come up (blog about data Warehouse related content Please refer to the website Data Warehouse this directory), at the same time they also have the knowledge of the data warehouse under the reorganization and understanding, and for a long time ...

Recently, China Minsheng Bank Big Data Project officially launched. The project, with IBM and the giant FIR Database Company (SEQUOIADB), sequoiadb to build Low-cost, high-performance, highly reliable and horizontally expanding data platforms for CMBC through IBM biginsights large data solutions and enterprise-class NoSQL databases. To help Minsheng bank through large data analysis to meet the financial industry's big data challenges, to achieve profound industry insights. The platform uses the full set of IBM Biginsights and partner SEQUOIADB ...

Business Intelligence (bi,business FDI) can be traced back to 1958, when IBM researcher Hans Peter Luhn first presented the concept of business intelligence in an IBM magazine article. But until the 1980 's, Decision Support System (DSS) began to become popular, the 1990 's business intelligence has become popular, the industry uses business intelligence to collectively refer to the following areas of software innovation: including performance management, planning, reporting, query, analysis, online analysis processing, operational system integration, predictive analysis ...

Recently, we've heard too much about "big data", lots of new apps, about Hadoop, NoSQL and a variety of new analytics software. 　　I recently spent a lot of time talking to people and thinking about these trends, and finally convinced that the huge changes we've seen, including the data we've collected, and how we're going to deal with that data for individuals, companies and societies. What the organization should do with the data, how to translate the raw data into the information used to make decisions, we are only in the early stages of full reflection. However, I also believe that the term "big data" ...

A, virtualization virtualization refers to the ability to simulate multiple virtual machines on the same physical machine. Each virtual machine has a separate processor, memory, hard disk, and network interface logically. The use of virtualization technology can improve the utilization of hardware resources, so that multiple applications can run on the same physical machine with each other isolated operating environment. There are also different levels of virtualization, such as virtualization at the hardware level and virtualization at the software level. Hardware virtualization refers to the simulation of hardware to obtain a similar to the real computer environment, you can run a complete operating system. In the hardware virtual ...

Disk storage is like a closet, never enough, especially in the big data age. "Big data" means that more data is needed than a traditional storage platform. So what does this mean for CIOs? This means that they will need to do more, and there is little information available for reference. However, when choosing a storage service for large data, it is not entirely traceable. What is big data first, we need to be clear about the difference between large data and other types of data and the technology associated with it (primarily analytical applications). Large data itself means very much to use the standard save ...

Disk storage is like a closet, never enough, especially in the big data age. "Big data" means that more data is needed than a traditional storage platform. 　　The choice of storage services for large data is not entirely traceable. What is big data first, we need to be clear about the difference between large data and other types of data and the technology associated with it (primarily analytical applications). Large data itself means very much data that needs to be processed using standard storage techniques. Large data may consist of terabytes of (or even petabytes) of information, including structured data (...).

Today's international competition is not the competition of enterprises, nor the competition of products, but entered an unprecedented era of industrial chain war. If China has in the past on the one hand because of low start, after the reform and opening-up can only start from the processing and manufacturing links to participate in international competition; On the other hand, because of the lack of awareness of the importance of industrial chain competition in the global economic era and the loss of early layout in the traditional industry chain, Oil and labor prices are climbing in the economic environment struggling ...

Open source Hotspot Inventory 1984, Richard Stallman launched GNU and Free Softwarefoundation, which has been open source for more than 28 years. From the bottom of the operating system to advanced desktop applications, there are open source footprint. Linux, which is especially open source operating system, is a controversial issue and is subject to many commercial attacks. 　　Many people like to put open source and business together, to accuse Open source is how "irregular", "energy consumption", "instability" and so on, especially Microsoft. Talk about ...

"Editor's note" in the "Pioneer" series of business, High-performance, Wang Tao to build beyond the MongoDB NoSQL, we and Wang Tao talk about High-performance, have a business sequoiadb build experience. Readers need to interpret the advantages of each nosql from the data, we also invited relevant experts at home and abroad to MongoDB, SEQUOIADB, Cassandra, hbase four NoSQL Benchmarking, and published test cases, related data and test rules. This time we will give you the test of domestic experts, ...