Clearstory Data

News and technology information Beijing time March 20, according to TechCrunch reported that Google VCs, Andrison Hollowitz, Khosla Ventures and a number of individual investors, has been to large data technology, the new company ClearStory to provide seed funds, the specific amount is unknown. 　　ClearStory data is a newly established company that focuses on providing large numbers to the public. ClearStory data development technology to enable collection and research from the enterprise source ...

According to a report published last month by IDC (International Data Company), sales of large data technology and services are expected to grow from $3.2 billion trillion in 2010 to $16.9 billion in 2015, with an annual growth rate of 7 times times the average it market. The McKinsey Global Institute points out that data is becoming a factor in products such as physical capital and human capital. Companies that can take advantage of big data will defy the data. Data capital will be as important as brand capital. Business is already adapting to big data, and the data revolution is disrupting already-established industries and business models. No matter ...

Although visualization is not the most challenging part of the data analysis field, it can be said to be the most important aspect. Of course, storage, database query processing, and algorithms are all very important--visualization is not possible without them--but in a data-driven world, they are just at the base level. There are 6 startups that are trying to fundamentally change the visualization of the data. Some of these are highly complex visual processes, some not. Although none of them is perfect, what they do will make us rethink: what data means ...

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. Although none of them is perfect ...

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

Data scientists are described by the media as the sexiest career in the 21st century and as a superstar of the IT industry who are struggling to make big data, but in fact there are no data scientists Under the same enterprise can play big data. Up to now, as long as big data is mentioned, the most talked about is the shortage of talent, data scientists have become the most sexy career in the 21st century and so on. The report from McKinsey, a Harvard business review and consulting firm, also said that with the help of data scientists themselves naturally happy ...

For large data, there is a phrase: "Big information is like teenage sex,everyone talks about It,nobody really knows you to do it,everyone everyone 　　else is doing it,so everyone claims tightly are doing it. " See this sentence, everyone to ...

What do you think data engineers do every day like http://hackertyper.net/, and then create one great product after another? Wrong! The New York Times reporter interviewed a number of large data engineers who said they had spent 80% of their time as a "big Data Drudge", it's not what humans can imagine. Tedious work--extracting useful data from massive amounts of raw data, sorting, converting formats, adjusting to structured data in the same format as the algorithm can understand ... Therefore, these data engineers call themselves "Data cleaners", "...

The popular word "Big data" contains a wide variety of digital data, from networks, sensors to mobile phones and computers. Using intelligent software to dig up this data, you can get a lot of discoveries. It makes the data-oriented decision-making process in various fields possible. This is why data scientists have become popular careers. But do you know what data scientists usually do? Collating data in fact, the data scientists are Bell their time to sort out the disordered data ...