Do you need data scientists to have these 7 big data tools companies?

As John Ginder, a big data director at Ford, and other business executives have described, the industry lacks simple tools to solve big data problems.

"We are moving towards the great end of the big data. John Ginder said in an interview with the media, "although Ford has experts to develop tools and specific problems for some special applications, but in the face of the future of all the data will be excavated, we do not have enough staff and tools." Data experts, not computer scientists, examine the data and find relationships that have not been mined before. This is obviously a very good future, but unfortunately we do not have that ability now. ”

7 Large data tool companies in the United States (product testing phase)

In other words, running a Hadoop cluster or performing an analysis requires professionals with special skills. But the first challenge, if you want to make a big data revolution, is to simplify data processing as much as Netscape (Netscape) simplifies the Internet experience. There are 7 innovative companies in the United States that are doing this, and the unique products of these companies will help you abandon your "data scientists".

DataHero: About visualization of innovative enterprises. The data can be turned into beautiful pictures, which will help customers or others to better understand and comprehend the data in order to bring new cooperation. Users can submit their data files directly to DataHero.

Prior knowledge: Relatively new, founded in August 2011, was founded by MIT graduates. The core is to let non-data scientists play with the data. It provides services that allow people to upload data and correlate it with the prior Knowledge database API, providing an assessment of relevance information and helping application developers build predictive models. It has won 14000000 of billions of dollars from founder funds and Angel Investments.

P (K) databases do behind-the-scenes mathematical groupings of visual examples

Platfora: In Hadoop, everyone likes a big data batch platform, but it's not easy to use. The goal of Platfora is to help you deal with large data through an intuitive user interface with advanced data science features rather than query capabilities. has raised 57000000 of dollars and is expected to launch its products next year.

ClearStory: A big, innovative enterprise that provides services that compete with software. Google, Andreeseen Horowitz and Khosla all have investments. The goal is to aggregate data from various sources (also including Hadoop) into a single place where customers can interact and visualize data through the GUI.

The purpose of Karamasphere:karmasphere products is to reduce the development process in workloads and applications and even desktops. It allows users to write similar SQL query statements to connect to their favorite intelligent tools and analysis software, and to perform correlation analysis.

Datameer: Like other businesses, Datameer is also hoping to make the application of Hadoop easier. By creating a more user-familiar, reusable spreadsheet, companies can use this table to analyze the work of Hadoop, create visualizations, and draw relationships. It is closer to Karamasphere, but there are new features, such as allowing someone to run multiple partitions on a single machine.

BIGML: Just like Prior KNOWLEDGE,BIGML is a start-up that combines data and machines to help users get a way to solve their data problems. BIGML wants users to implement the following four steps: Building a data source, creating a dataset, building a model, and generating predictions. It is implemented in Private-beta mode.

Processing of BIGML image files

(Responsible editor: The good of the Legacy)