Use Hadoop to help business intelligence practice "full data"

September 2013, Etu, an Asian native Hadoop navigator, Etu, a large data integration machine with knowledge and intent, was awarded the "Big Data Product Award" by the host in the "Big Data Age Business Intelligence" forum, which is also awarded by Dell , Huawei, Wave, SAS and other well-known industry friends.

"It is a great pleasure Etu to be the only representative of a large data platform to receive this award," said Courio, Etu, director of
. ”


the business intelligence of the big Data age is the intersection of the business value of data processing and data mining. Traditional business intelligence is still based on a structured data warehouse, showing results in the form of reports and cockpits to help users quickly find new business opportunities and make more accurate decisions from the data.


since there is intersection, there will be competition, but now it seems that the competition between the two sides is not obvious, the two are more integration: the Hadoop ecosystem and other technologies to create a large data based on semi-structured, unstructured processing capacity, which undoubtedly make up for the traditional BI in the data base of the congenital deficiencies; and the traditional BI for the user business logic induction, understanding, modeling, etc. after a long period of accumulation, obviously has formed the inertia of enterprise users, and this is the large data in the short term difficult to make up.


The fact that Hadoop, as the basic technology for large data, is feasible with the integration of traditional BI, is also a very obvious technology trend, Etu known as the Asian native Hadoop brand, while focusing on the simplicity and optimization of the Hadoop platform itself, also in Hadoop With the business logic level of integration, support for BI, as well as visualization, has carried out in-depth research and practice. At present, the Etu intention has been with many BI vendors from business logic to the system architecture research and discussion, the result is very positive.


according to Etu's practical experience, the combination of Hadoop and BI is usually done in two ways: the first is to clean and preprocess the data collection into Hadoop, then transform it into a structured data input data Warehouse for BI calls, and the other is the BI vendor Platform Open Interface, or connector, from which BI directly invokes data from Hadoop. "So far, the second situation we have encountered more," said Jiang Yu.


Using Hadoop to bring traditional BI and large data together, it can be said that because of the addition of Hadoop, users can achieve "full data" analysis and processing, to make more accurate value judgments, but on the other hand, this is based on Hadoop Large data processing platform has brought higher requirements: as in any previous platform, enterprise users require it to be secure, stable, easy to manage, and extensible. Although the client's requirements are almost harsh, the providers of a large Hadoop data-processing platform such as ETU are already well prepared. Even stripping Hadoop itself, Etu is also designed to provide the most basic protection for automatic deployment and efficient operation of the Hadoop cluster by customizing a cost-effective mainstream x86 server with a self-developed Etu OS.

"We are committed to providing our customers with superior and reliable Hadoop platform products to help make up for the barriers that can easily span a large data-processing infrastructure to compensate for traditional BI," said Jiang Yu,
, who understands the intent to understand the ' pain ' of users using Hadoop Etu. It is difficult to deal with the shortcomings of semi-structured and unstructured data, the better to play its value, is the direction of our continuous efforts, I believe this is the real reason for Etu to know the intention of this award. ”

In September 2013,
, a large data integration machine with Etu knowledge and intent, created by the Asian native Hadoop Navigator, was awarded the "Big Data Excellent Product Award" by the organizer at the "Big Data Age Business Intelligence" forum hosted by the computer World, Together with the award of the Dell, Huawei, Wave, SAS and other well-known industry friends.

"It is a great pleasure Etu to be the only representative of a large data platform to receive this award," said Courio, Etu, director of
. ”


the business intelligence of the big Data age is the intersection of the business value of data processing and data mining. Traditional business intelligence is still based on a structured data warehouse, showing results in the form of reports and cockpits to help users quickly find new business opportunities and make more accurate decisions from the data.


Since there are intersections, there will be competition, but now it seems that the competition between the two sides is not obvious, the two are more integration: the Hadoop ecosystem and other technologies to create a large data based on semi-structured, unstructured, the data processing capabilities, which undoubtedly make up for the traditional bi on the basis of the inherent lack of information, and traditional BI For the user's business logic induction, understanding, modeling, etc. after a long period of accumulation, obviously has formed the inertia of enterprise users, and this is the large data in the short term difficult to make up.


The fact that Hadoop, as the basic technology for large data, is feasible with the integration of traditional BI, is also a very obvious technology trend, Etu known as the Asian native Hadoop brand, while focusing on the simplicity and optimization of the Hadoop platform itself, also in Hadoop With the business logic level of integration, support for BI, as well as visualization, has carried out in-depth research and practice. At present, the Etu intention has been with many BI vendors from business logic to the system architecture research and discussion, the result is very positive.


according to Etu's practical experience, the combination of Hadoop and BI is usually done in two ways: the first is to clean and preprocess the data collection into Hadoop, then transform it into a structured data input data Warehouse for BI calls, and the other is the BI vendor Platform Open Interface, or connector, from which BI directly invokes data from Hadoop. "So far, the second situation we have encountered more," said Jiang Yu.


uses Hadoop to combine traditional BI with large data, so that by adding Hadoop, users can perform "full data" analysis to make more accurate value judgments, but on the other hand, it's based on Hadoop Large data processing platform has brought higher requirements: as in any previous platform, enterprise users require it to be secure, stable, easy to manage, and extensible. Although the client's requirements are almost harsh, the providers of a large Hadoop data-processing platform such as ETU are already well prepared. Even stripping Hadoop itself, Etu is also designed to provide the most basic protection for automatic deployment and efficient operation of the Hadoop cluster by customizing a cost-effective mainstream x86 server with a self-developed Etu OS.


　　"Etu knows the intention to understand the ' pain ' of users using Hadoop," said Jiang Yu. So we are committed to providing customers with superior and reliable Hadoop platform products that can easily overcome the barriers to building a large data-processing infrastructure to make up for the shortcomings of traditional BI's difficulty in dealing with semi-structured and unstructured data.