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Google BigQuery

Product
The name of the base system (platform): Google Cloud Platform (GCP)
Developers: Google
Technology: BI,  Big Data,  Cloud Computing,  Data Mining

So far as concerns Big Data, most often it is meant that the systems of their processing will be locally implemented customers. The Google company creates service which will allow to analyze huge amounts of data in a cloud.

Service carries the name BigQuery. With its help the organizations will be able to process the data without independent creation of the corresponding infrastructure, the product manager of Google Ju-Kay Kvek at the GigaOm Structure Data conference which took place in New York said.[1]

BigQuery is the service allowing to create applications and to provide shared access to data, he added. Google offers it to certain users in the fact-finding mode. Terms of full input of BigQuery in action are not called yet.

Google considered logical to create similar service as in the company some of its elements were already developed for internal use. "Indexation of Web is first of all a problem of processing of Big Data" — Kvek claims. The systems of Google are also widely analyzed by use of various online services of the company, such as Gmail. The analysis of operational data helps to understand what functions of services were useful and what — are not present.

For Google it is extremely important to save and analyze all data generated by its services, claim in the company. "The analysis of 'fine sand' of data is very valuable — Kvek says. — It is just necessary to ask many questions to data. The more it is set questions, the these questions become 'more smart'".

Users of trial version of service test it by various methods. For example, load into it a data set, and afterwards add updating as they appear. Using the algorithms developed in Google and language of requests data can be subjected to analytical analysis. Operators of banner networks using service collect data on actions of users and estimate advertizing efficiency. One more customer, the operator of hotel chain, analyzes its profitability using service, doing forecasts on the basis of data from different financial systems.

The cloud model of the analysis of Big Data has several advantages, Kvek believes: the most important is that it saves the organization from need to purchase and configure own data warehouse. "Google undertakes all technical cares — he claims. — Mechanisms of security and data backup are built in service. Thanks to it extraction of useful data from Big Data accelerates".

One of users of BigQuery — the French company We Are Cloud offering the system of the business analysis in the form of a cloud service under the name Bime. It is expected the small and medium enterprises at which can not be own system of the business analysis and the corresponding technicians. The dashboard of service can receive data from a set of sources, for example from local relational databases. "Customers need similar tools to feel confidence in the business" — Rachel Delacour, the founder and the CEO of We Are Cloud believes.

As the beta user of BigQuery, the company has the right to offer a Google service to the customers. One of them, the telecommunication operator from the Middle East, loaded for the analysis using Bime 15 Tbyte of data on the subscribers. According to Delacour, she has no right to disclose how many money of Google takes for a hosting of data, however, according to her, a rate quite acceptable.

"In the dynamic environment it is very convenient to use BigQuery — service almost instantly issues results of processing of huge data sets" — the head of We Are Cloud claims.

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