How to get started with big data development you have to know that.

How to get started with big data development you have to know that.

yesterday, chatting with three students majoring in computer science chatted about the topic of big data development, and three of them, two of whom had already entered the business, the other was a sophomore, but had already opened their own studios. They are all working in the field of process development. Big data development is naturally concerned, but the current big data skill level can only be said to be "small rookie" bar, even the introduction is not yet.

of course, big data development I can only be regarded as a "pupil", but also with the teacher behind the study. Natural Hadoop, blockchain fire after the discovery of a lot of programs developed in the "yards" friends have been put into the embrace of big data development. For many years "code farming" experience of friends, learning big data development must have a better foundation for getting started, but turned into big data development embrace is not all "battle-hardened" of the yards, such as my yesterday's three friends. How do you get started with big data development for newbies like them?

Search the Web for "Getting Started with big data" and see a lot of articles about how to get started in a short time and learn big data development. After reading these articles total sleep is misleading new, big data application development too biased to the bottom, it's the difficulty of learning really not you 32 share the article can be said clear, it involves too many technical aspects, are to a large extent restricting the popularization of big data, or big data talent will not be so scarce!

Some things you need to know about friends who want to learn big data development are:

1. What technology is needed to develop big data:

Big Data technology, is the fast access to valuable information from various types of data technology, big data processing key technologies generally include: large data acquisition, big data preprocessing, storage and management of big database, big data analysis and mining, Big data presentation and application (Big database search, Big Data visualization, Big Data application, big data security, etc.).

2, recommend a big Data integration development framework:

The above mentioned that big Data application development too biased to the bottom, this is too difficult for beginners, it will inevitably affect the progress of learning or even enthusiasm. Recommend a big Data integration development Framework --freerch Big Data integration development framework. This big data integration development framework has put some of the common reusable basic code and algorithms in big data development into class libraries, and the threshold for big data learning is greatly reduced for beginners or novices, and the difficulty is much lower if you want to try to develop something. Now this freerch-integrated development framework supports three programming languages, namely Java, PHP, and. NET.

Friends who are learning Big data can download a version to study:

How to get started with big data development you have to know that.