Mongodb Big Data Analytics

MongoDB and Cloudera, respectively, are heavyweight companies in the NoSQL and Hadoop markets. 　　Recently, two companies have proposed to share marketing and sales channels, claiming that there is only one purpose: to provide customers with large data solutions to eliminate customer concerns. MongoDB is a successful database supplier in the NoSQL market, and Cloudera is also a leading company in the Hadoop market, and two companies recognize that customers are still confused about big data, and if they can remove these concerns for customers, provide customers with a complete ...

To make it easier for everyone to introduce analytics into their large data storage systems, Pentaho today announced that the latest version of its Business analytics and data integration platform has officially entered the general phase. The Pentaho 5.1 is designed to provide a bridge between the "data and analysis two separate realms" to support all Pentaho users-from developers to data scientists to business analysts. Pentaho 5.1 for the direct MONGODB data storage system brought to run without making ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

The term “big data” has been on fire for several years. In the last one or two years, the limelight seems to have been taken away by the concepts of artificial intelligence and deep learning, and has gradually become a “out of gas” technical vocabulary.

One day, when you set foot in a department store in the United States, the indoor camera will monitor your movements, a few minutes later, you walk through the aisle, the products you pick or put down, the last thing you choose to buy even when you pick up and put down the object of an instant expression, will be crawled by the camera and sent to a software company. 　　Of course, it's not that you're a pickpocket, it's just that we're in a big data age, and these videos are just for data analysis. "Big Data" is basically an all-encompassing term that refers to the collection and analysis of a large amount of information ...

On the face of it, looking for the wisdom of big data on Twitter seems like an ironic suggestion. 　　In fact, most ordinary consumers and business users use Twitter as a platform for data generation, and the information provided will be used as a source of analysis rather than as a guide to analyzing the solution. Twitter does, however, carry a huge amount of valuable data expertise--provided we know where to find them. Like other social platforms, Twitter is sometimes as noisy as it has no real value. If you add "large number ...

In 2013, "Big Data" replaced "cloud computing" as the most sought-after it hot word. 　　However, this technology concept is still a long way from vigorous application. Over the past year, large data has been mentioned frequently on a wide variety of occasions, and the technical conference on large data subjects is your song. According to the technology maturity curve of the research institute Gartner, the big data at this stage are climbing to the peak of the so-called "expected expansion period". Although in the evolution of large data technology, we saw a lot of progress in 2013, including the open source framework representative ...

In large data projects, the full release of data value is often an important but complex goal. As I mentioned in the Enterprise deployment Hadoop solution (putting Hadoop to Work in the Enterprise), the Data warehouse is an important part of the [Big Data] puzzle ... 　　But successful big data projects need to integrate Hadoop, NoSQL and other open source platforms. To complete the large data puzzle, Teradata company recently announced the acquisition of Revelytix (development of H ...

From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology. December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (Big&n ...

Entrepreneurs are pouring into the big data market, followed by the VC is also spendthrift, leading to large data start-up market is now very crowded. Although big data startups are already crowded, there is still plenty of room for new startups, and current innovations in big data infrastructure and analytics tools are attracting a lot of money, The Mattturck of Firstmark Capital has plotted a large data eco-MAP version 2.0, covering 38 business models of large data, and is being hailed by the industry as a big data venture investment in the Qingming River map. After a long wait, Turck finally pushed ...