Platfora Big Data

The top two of the Superman-Hadoop start-up This is no longer a secret, global data is growing geometrically, with the wave of data growing rapidly around the world in a large number of hadoop start-ups. As an open source branch of Apache, Hadoop has almost become a surrogate for large data. Gartner estimates that the current market value of the Hadoop ecosystem is about 77,000,000, which the research company expects will increase rapidly to 813 million by 2016 ...

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 ...

Big data in 2012 was thoroughly at the end of a fire. From your corporate executives to U.S. President Barack Obama is talking about big data. But are these arty people talking about large numbers able to accurately define the data for big data? Indeed, even experts seem to have a very divergent definition. 2012 Large Data Industry list we spent a year with suppliers and some large data early adopters on the issue of large data. We interviewed the business is not a web-based enterprise, as well as LinkedIn, Eventbrite ...

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 ...

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.

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, should review the data and find out ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, not only is it hard to develop large data infrastructure technology products, but it's hard to sell, particularly to big data infrastructures ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, not only is it hard to develop large data infrastructure technology products, but it's hard to sell, particularly to big data infrastructures ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. 　　According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, it's hard to develop large data infrastructure technology products, and it's hard to sell, specifically ...

August 10 News, according to foreign media reports, Yahoo CEO Mayer (Marissa Mayer) husband recently set up a special investment in the field of large data Capital Fund. Data Collective is a new venture venture company that can be watched for a number of reasons, one of which is that it is managed by Zache Bog (Zack Bogue). 　　And Borg is Yahoo CEO Mayer's husband. This company ...