Vertica Data Warehouse

I think the data Warehouse can help the enterprise to deal with the data problem in three ways: first, in an enterprise Data warehouse, you divide your data according to the subject area, which is often more stable. 　　Organizations that want to understand the "big data" concept need to make a choice between the traditional data warehouse concept and the existing Data Warehouse architecture, or the increasingly popular open source Hadoop distributed processing platform, or the combination of the two. Those who want to move from simple BI reports to deep data mining and predictive analytics ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

As data grows in hundreds of terabytes, we need a unique technology to address this unprecedented challenge. Big data analysis ushered in the great era of the global organizations of all walks of life have realized that the most accurate business decisions from the facts, not a figment of the imagination. This means that they need to use the decision model and technical support based on data analysis in addition to the historical information of the internal trading system. Internet-clicked data, sensing data, log files, mobile data with rich geospatial information and various kinds of comments involving the network have become various forms of mass information. ...

As data grows in hundreds of terabytes, we need a unique technology to address this unprecedented challenge. Big data analysis ushered in the great era of the global organizations of all walks of life have realized that the most accurate business decisions from the facts, not a figment of the imagination. This means that they need to use the decision model and technical support based on data analysis in addition to the historical information of the internal trading system. Internet-clicked data, sensing data, log files, mobile data with rich geospatial information and various kinds of comments involving the network have become various forms of mass information. Have a great ...

Will there be a war in the database format field? Hadoop and Big data will the two worlds merge or conflict in the business world? Just in Janath Manohararaj, Blue Cross and Blue Shield Assoc.: America's largest private health http:// Www.aliyun.com/zixun/aggregation/6173.html "> Insurance company Group----Translator) database service ...

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations? 　　Don't worry, this little book from the Wikibon community wants to help you. 　　Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. AC ...

On the afternoon of December 6, Cai Suchang, deputy director of Shaanxi Provincial Ministry of Industry and Information, said a little thing before his speech at the "2012 West Salt new District Big Data Summit Forum": A friend in Beijing learned that Shaanxi is going to hold a forum on big data in Beijing to ridicule: "You shaanxi people have been quite real, how now also learn to cheat!" "From the Internet of things to smart cities, from cloud computing to large data, facing the rapid development of information technology in recent years, the people who are accustomed to the development of information technology from the perspective of traditional industrial development are really dazzled, and think that Shaanxi development data is only the wind of the wind is obviously this mentality ...

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? Today's enterprise Data Warehouse ...