This is my 47th original article \

Come on, cut the crap and get straight to the dry stuff! \

Reporting platform

Still do report form up to now, already very few. The above three are the mainstream report manufacturers in China. However, in the face of market pressure from foreign BI manufacturers, BI kits have also been made. Mainstream sail on soft and dry, crystal statements recently seen less.

General small factory, 1 or 2 data workers, it is recommended to purchase a report platform, do not buy BI software.

Fan-soft has complete functions, good ecology, easy recruitment, and upgraded VERSION OF Fan-soft BI. But the price is a little too high, so Party B does not suggest using it. \

Run dry price is cheap, a set of ten thousand dollars, if the annual payment, can be unlimited installation, more than a set of more than one thousand dollars. More suitable for Party B. The market has “south sail soft, north run dry” argument

The BI platform

In the early days, BO, Brio, Cognos, MSTR, etc., are all established BI vendors. When I was doing pure technology, I used their products a lot. Things are not cheap, and the product + user double charge, not very cost-effective. \

Early domestic only statements, the results of large single were taken away by foreign BI manufacturers, so they reflect on the pain, serious study, there are soft fan BI, Haizhi BDP, Rungan BI, SmartBI, Yixin BI and other products. Things are not bad, the price is much more beautiful than abroad. And basically only limit the server, do not limit the number of users, how to use all OK.

But with BI, it’s not a matter of two or three people. You have to build a data warehouse, and then do all kinds of visualization, multidimensional analysis, etc. So you have to have warehouse engineer, ETL engineer, BI engineer and so on. Of course, if you’re a bull, you can do it all.

For medium-sized manufacturers with several systems, it is recommended to purchase a BI system, which can provide data warehouse, index system, fixed report form, multidimensional analysis and data visualization. Construction period more than a few people, after the construction is very comfortable, fixed business, leave two people to maintain it.

Big data Platform

Around 2013, the continuous improvement of Hadoop system indicated that big data application scenarios could be satisfied. At this time, some cutting-edge enterprises began to do big data platform. There are many manufacturers, and there are 3 mainstream ones:

In recent years these vendors have also begun to move toward the concept of “data center”. However, as traditional software manufacturers, they do not quite understand what is the “data center” proposed by Internet companies, which seems to be no different from the big data platform they make.

In fact, all big data platforms already have the basic capability of “data Center”. If you compare the products of big data platform and data Center, various functions are basically the same, but data Center has added some concepts like 3One and label factory.

If your company has a lot of business systems, the amount of data is very large, faced with massive data storage, computing requirements, randomly pick one of the three, certainly enough.

Data from China

The concept of “Zhongtai” was popularized by Ali. It’s something That Ali learned from SuperCell and then developed internally and then exported. “Data center” was also promoted together at that time. So the main manufacturers are ali people out of the start-up companies.

Kangaroo Cloud, Talan, singularity cloud are ali’S P9 out of the founded companies, the technology is similar.

Kangaroo Cloud is the ali DBA team out of the comparison of chicken thieves, firmly tied to Ali, Ali took the order, kangaroo cloud work, the same as in Ali.

Talan is the product team of Ali. The product design is ok and the publicity is good. The business is booming.

Singularity cloud is ali number warehouse and number plus team out, it seems that the propaganda is not strong enough to contact much.

Digital Plus is Alibaba’s own product.

Cloud migration technology is interesting. Their own technical ability is not strong. However, it has been playing the concept of “dual middle stage”. After receiving the project, it is responsible for the business side of the middle stage, and the technology side is subcontracted to kangaroo Cloud. They only do the head of the industry.

If your company’s business is complex, large amount of data, multiple customer application scenarios, need a large amount of customer data value discovery, then you can consider a mid-stage.

For more information on the Data Center, check out my other article, The Data Center in one Breath – Gives You an Architect’s Perspective.

conclusion

Report platform to solve fixed reports, data visualization; 1, 2 report engineers can do it;

BI platform is to increase the ability to solve multidimensional analysis and self-query reports on the report platform. The data warehouse team is required to support the underlying data, and BI engineers are required to set various measures and dimensions to make multidimensional analysis reports. Need not do a fixed report form; \

Big data platform is based on BI platform to solve the problems of storage, calculation and real-time calculation of large amount of data. No need to pay attention to mass data storage, computing, real-time computing and other issues at the bottom; It is necessary to increase big data engineers for cluster maintenance and various development work based on big data platform. \

Data Center is based on the big data platform, to provide the ability of ID opening, unified model, unified service, additional label factory, user analysis and other partial Internet attributes. The staff needs to increase the data center product manager, and other work is still done by big data engineers and big data analysts. \

The data governance capability starts from BI platform and is constantly strengthened in big data platform and data center. Therefore, BI platform, big data platform and data center all have data governance capabilities. Data assets and billing concepts and capabilities have also been added to the data center.

I sorted out some relevant materials and shared them with you:

If the background replies to “Report platform”, you can obtain the related information of report platform manufacturers.

If the background replies to “BI platform”, relevant information of BI platform manufacturers can be obtained.

If you reply to “Big data platform” in the background, you can obtain relevant information about big data platform manufacturers.

Background reply “data center”, you can get data center manufacturer related information;

Highlights from the past

Hot article | how to build your exclusive communication field

Dry goods | breath finished data warehouse modeling method

Dry goods | data governance – the core content of China

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