Mongodb 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 ...

To ease restrictions on the organization's large data services, Red Hat integrates 10gen MongoDB data into its new Identity Management Pack Rhel suite. 10gen Product Marketing Director Kellystirman that "a more robust identity management system it has a central infrastructure through which companies can be used for identity management in many different types of applications." "With the unification of MongoDB and Red Hat authentication management systems, stores that already use Rhel will be easier to build and run using Mon ...

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 ...

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to ...

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 ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

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 ...

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 ...

Large data is one of the most active topics in the IT field today. 　　There is no better place to learn about the latest developments in big data than the Hadoop Summit 2013 held in San Jose recently. More than 60 big data companies are involved, including well-known vendors like Intel and Salesforce.com, and startups like SQRRL and Platfora. Here are 13 new or enhanced large data products presented at the summit. 1. Continuuity Development Public ...