best big data books

1. Data Visualization (full color) In the face of complex big data, visualization provides a good interpretation angle and method, and is a powerful tool for big data analysis and application. For the first time, this book comprehensively and meticulously combs the histo

This article by larrylgq prepared, reproduced please note the Source: http://blog.csdn.net/larrylgq/article/details/7395261 Author: Lu guiqiang Email: larry.lv.word@gmail.com I recently saw someone reading a book order online. I also followed suit to record the good books I have read and keep updating them. At the same time, you are welcome to recommend a book you think is good to me ^ -Data Mining Machine

Let me tell you, Big Data engineers have an annual salary of more than 0.5 million and a technical staff gap of 1.5 million. In the future, high-end technical talents will be snapped up by enterprises. Big Data is aimed at higher talent scarcity, higher salaries, and higher salaries. Next, we will analyze the

? I feel that the first one is useless, The second method is useless, The third method must have an effect, but it seems so abnormal. it takes a long time to debug several pages of books! This is too slow! How can we improve the performance? ------ Solution -------------------- If you want to learn, you must not take the nearline approach. The first method is to follow the nearline approach. According to the code, what does he mean? Let you design a

-side session data management solutionReactive extensions for JSJavascript minifiers Every byte counts when you're sending files via HTTP and best practices dictate that on a production, you need to optimize all of your files to minimize page load times. compressing JavaScript code is one of the easiest ways to do that and these tools will help. on the jquery project, we 've started using Google's closure compiler because it's generated the best compr

Three myths about big data as the industry's interest in big data grows, one of my favorite topics I've done in 2013 was the big data public speaking more than any previous year in my career. I've made a lot of speeches at industr

positive and negative display is 50% each.Yes, automatic Big Data Mining is based on this principle.There is no rigorous cause-and-effect analysis here, instead of using data analysis to determine the cause and then export the result. Instead, you can know through statistics that such a situation usually produces such a result, that is, the correlation between p

Access to big data has been used for Hadoop for several years. Compared with the ever-changing front-end technology, I still prefer big data-this has been stir for many years, but also believe that the technology research in big data