Programming Technologies List

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

Let's not dwell on how much data a disk can hold or whether it will use Hadoop. 　　The real question about big data is how the business user will use Hadoop, how far our system can go on the intelligent path, and how we're going to make sure it's all under control. Over the past few years, big data technologies have come a long way, from an optimistic and positive buzzword to a difficult illness that people hate, and the focus shifted from sheer data to the pursuit of type and speed. The so-called "big Data" and its related technologies are experiencing ...

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

MapReduce: Simple data processing on large cluster

Blockchains have recently become more and more popular, with companies, stocks and products related to the concept of countless blockchains. There is even a blockchain phone.

You have a great idea, but what about programming? Outsourcing, partnership development or zero-learning programming? Here's another way to do it--using a DIY developer tool without programming. DIY development tools not only save the development of time and money, more those creative unlimited love of the application of people to provide a convenient way to develop, without programming can let the creative landing forming. In addition, DIY development tools to meet the needs of the refinement of the application market, these market users are small, may only be to meet the work of communication and management needs, may only be to interact with fans, may be only ...

As a software programmer in the IT industry, the day-to-day hard work that drives us day by day comes from our interest and passion in programming. But to make programming always fun, we must learn to stick to some of the basics of being good programmers. I'm not trying to write a few spells, but you can be a good programmer by executing it. My purpose is to record some useful lessons I have learned and used to help me get better results. There is no clear definition of good programmers, and here we mean those who created excellent IT solutions.

"The development effort goes beyond just writing code," says Dan Frost from the 3EV site, who wrote an article detailing a few things that should be noticed in the development process. The original text is as follows: Developers are the main force in creating the digital world. They should not just play the role of programming tools, but should have higher requirements for their development efforts. So, what are the ways developers can improve their development capabilities? Now let me talk about my idea. My advice may not be comprehensive, but I hope I can bring you some help. ...

http://www.aliyun.com/zixun/aggregation/7026.html "> A great programmer looks at both sides as he crosses a one-way street. As a software programmer in the IT industry, The hard work that drives us day after day comes from our interest and passion for programming, but for programming to always be fun, we must learn to stick to some of the basics of becoming good programmers and I'm not writing Some spells, you can follow the implementation of ...

The distributed computing technology proposed by Google makes it easy for developers to develop global application services, and cloud computing technology automates the management of communication, task allocation, and distributed storage among a large number of standardized (heterogeneous) computers. 　　The cloud comes from a decentralized, parallel operation, but better than the grid. Data computing cloud technology can be considered as a sub-set of grid technology, both of which are designed to hide the complexity of the system, so that users need to use it without knowing how the system works inside. The parties follow up with Google to promote cloud services, but the definition is different ...