To work on big data-related high-wage jobs, first you need to sort out the big data industry distribution

Big data is booming now, and salaries are higher than the usual software industry, so many young people want to enter the industry. But not every big data-related job is well-paid, and it's mainly about choosing to develop according to your own expertise. Big data involves a wide range of knowledge, if you want to be an all-rounder, it is very difficult, a person's energy is limited. Select a subdivision and then specialize in the right path. To learn big data, if it is a programmer, in fact, it is very convenient to enter the main or big data development direction, to learn the content, mainly in their previous basis to extend the extension. If it is to enter the big data analysis is equivalent to another area, operational direction, it is relatively easy to cut into. Learn how to learn big data and find your own direction.
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Big data involves a wide range of knowledge: massively parallel processing databases, data mining, data analysis, Distributed file systems, distributed databases, cloud computing platforms, the Internet, scalable storage systems, and development techniques. More detailed is related to: Data collection (where to collect data, if the tool is collected, cleaned, transformed, then integrated, and loaded into the data warehouse as the basis for analysis); Data access-related databases and storage architectures such as: cloud storage, Distributed file systems, data processing, database mining, model prediction and and statistical analysis, big data development technology, such as: Java, Python and so on.

1, development direction. can develop big data related application according to requirement, analyze the result. Master development languages such as Java, Python, and Scala, as well as relational and non-relational databases such as MySQL, Oracle, and non-relational NoSQL databases, and data processing frameworks for unstructured data processing requirements, such as: Hadoop, It includes hdfs,mapreduce and hbase,mapreduce are data processing frameworks, HBase and Cassandra are primarily databases. Of course, more advanced, able to master some algorithms, become the building code submitter, that is better.

2, big data analyst direction. It includes data collection, cleaning, data analysis, model building and so on. Master some tools, such as Excel, Storm,RapidMiner and so on. Of course, you can master the data analysis method of Big Data platform, master some languages, such as Python, Scala, SQL, etc., can deal with various types of complex data, can extract valuable information from it. If it is a big data scientist, it is more necessary to master statistics, probabilistic linear algebra and other data theory, in addition to the book Data ETL process, business process, but also to model prediction and establishment of work, to this step revenue that is quite considerable.

3, Big Data operation and maintenance direction. Rarely involves development and analysis, but also familiar with some of the best, mainly on the big data hardware and software and monitoring tools to be very skilled use. For example: Master the configuration and application of Linux, can build Hadoop cluster, big Data software maintenance, daily maintenance and monitoring, of course, more proficient in the shell, Python and other development tools, run the script language Automation cluster deployment, management and monitoring, master the installation of common set up, optimization , improve the overall performance and be familiar with the data center security policy.

Big data is a need to master a lot of knowledge of the field, the General people who choose these several directions. As programmers, transferring to this is quite fast, because it is primarily a work of development that has the foundation for development. But big data companies are not easy to survive, data sources, how to analyze the results of the trend, are to have a considerable background.

To work on big data-related high-wage jobs, first you need to sort out the big data industry distribution