Six start-ups make big data visualization fun

Data visualization is the most challenging and challenging part of data analytics, but its importance does not allow us to question it. In fact, visualization is definitely one of the most important parts of analytical data analytics. Of course, storage, database query processing and algorithms are all very important. And without them visualization is impossible. But in a data-driven world, they are just at the base level. Here are six startups who are trying to radically change the visualization of their data. Some of them are highly complex visual processes, some are not. While none of them is perfect, what they do will make us reflect: What exactly does data mean?

Ayasdi

Ayasdi is from Indian and is "looking for" meaning. Gurjeet Singh, Gunnar Carlsson and Harlan Sexton of Stanford University have been working on the application of topological research methods to data analysis. In 2008, they co-founded Ayasdi. After Ayasdi was founded, it received $ 3.5 million in funding from DARPA (the Defense Advanced Research Projects Group).

The underlying layer of Ayasdi uses HBase data storage and then uses topological data analytics and hundreds of machine learning algorithms to process complex data sets that ultimately determine the similarity between data nodes. For end users, this looks more like a topology for a data set, but rather emphasizes the associated data points in the cluster.

Ayasdi's technology has an important feature. Unlike other systems that require similar search-query statements, Ayasdi automatically finds hidden patterns in the data. One of Ayasdi's uses is that in the field of medical research, Eric Schadt, director of the Department of Gene and Multiscale Biology at Mount Sinai School of Medicine, led a team that used Ayasdi's technique to study the genetic predisposition for some diseases and used Ayasdi's data analysis techniques , Helped find 14 variants of breast cancer.

BeyondCORE

In fact, the basic premise of BeyondCore's operation is the same as that of Ayasdi - just showing the connections that are significantly related to the user, regardless of how the result was discovered - while BeyondCore uses a standardized chart, it actually provides another Choice: Make the avatar (see image) notify the user when it finds the result of the association.

ClearStory

ClearStory has a unique product, even though many details of the product are not released. Maybe only after the product is officially released can we "see the real content." ClearStory connects to data stored on databases, networks, and other sources, dynamically updates data sources as they change, and adds virtual data mining components that enable users to analyze data and understand information. In March of this year, ClearStory won favors from a number of venture capitalists such as Google Ventures, Andreessen Horowitz, Khosla Ventures, and the amount of financing was unknown.

Datahero

Datahero was co-founded by Chris Neumann, Aster Data's backbone of big data analytics, and Jeff Zabel, a senior BMW engineer, who was still getting $ 1 million in funding in its infancy. Their slogan, "Your data is your masters," seeks to bridge the gap between big data and ordinary users by helping users analyze not only closely related data, but also visually giving users a better understanding of the data.

According to foreign media reports, Datahero is a browser-based platform, the data output, finishing and interpretation will be done in a separate window, rather than the usual meaning with different applications. Through the browser, users can input information of various network services into Datahero, download reports from a public database, and upload spreadsheets and files to Datahero locally. Datahero automatically classifies the information according to its algorithm and tags them.

Platfora

Start-up Platfora claims "to bring the Hadpoop to civilian life." The company believes that big data can only become a real business if it is effectively manipulated and visualized so that it can be understood by average users. The big data startup has won $ 20 million round B financing.

Platfora operates on the basis of Hadpoop data and provides users with an easy-to-use operating platform. Because there are many different releases of Hadpoop, one of Platfora's priorities is ensuring that it runs on all distributions, greatly reducing Hadpoop's usage threshold and allowing more people to experience the benefits of Hadpoop technology for true The meaning of "civilians."

Zoomdata

Startup ZoomData is one of the few data-analytics-enabled mobile devices that has a data visualization system that transforms the implementation of big data streams into touch-friendly, artistically-pleasing 3D data. Apple iPad and Android tablet users can use their fingers to zoom data visualization interface, with different levels of interface zoom, the data will be updated in real time. ZoomData's data visualization technology supports a variety of data sources, including social media, enterprise applications, and Hadoop HDFS data.