The moment, the employment aspects of big data has three major directions:
First, data analysis class big data talent,
Second class big data system development personnel,
Third, application development class big data talent.
Their jobs are the big data base system R & D engineers, big data application development engineers, large data analyst.
For job seekers, big data is only engaged in a career direction, and professional positions which are determined to do something? Big data practitioners / job seekers according to their Big Data technologies and features its own interest in the school, choose a suitable related jobs. Here we will introduce ten kinds of jobs associated with the popular big data.
1
ETL development
Enterprise data types and increasing sources of data integration and processing is becoming increasingly difficult, enterprises urgently need a kind of talent data integration capabilities. ETL developer This is a demand in this professional positions at the birth of the foundation. One of the reasons ETL talent in the big data era is hot: in the early stages of large enterprise data applications, Hadoop is just poor ETL.
2
Hadoop development
With the increasing size of data, data processing costs of traditional enterprise BI excessive burden. The cheap Hadoop data processing capabilities to be re-excavated, business needs continue to grow. And become a big data technology personnel must master. [Big Data to develop learning materials collection method: adding big data exchange technology to learn q group 522,189,307, private letters administrator can receive a free
3
Visualization Tools Development
Visual development on the graphical user interface is the visualization tool provided by the user interface elements, there is visual development tools automatically generate the related application software, easily across multiple resources and connect all levels of the data.
In the past, data visualization belong to the category of business intelligence developers, but with the rise of Hadoop, data visualization has become an independent professional skills and jobs.
4
Information Architecture Development
Big data re-energize the boom master data management. Full development and utilization of enterprise data and support decision-making requires very specialized skills. Information architects must understand how to define and archive key elements to ensure that the most effective approach to data management and use. Key skills include information architect master data management, business knowledge and data modeling.
5
Data Warehousing
To facilitate business decision-making, for the purposes of reporting and analytical decision support and data warehouse to create research jobs strategy is a collection of all types of data. Providing business intelligence services and guidance on business process improvement and monitoring time, cost, and quality control.
6
OLAP development
OLAP line analysis developer, responsible for data extraction from relational or non-relational data sources out of the model, and then create a data access user interface that provides high-performance pre-defined queries.
7
Scientific data
Data scientist is a new type of work, it will be able to enterprise data and technology into the commercial value of the business. With the progress of science data, more and more work will be directed at the actual data, which will allow human knowledge data to understand nature and behavior.
8
Data predictive analytics
Marketing departments often use predictive analysis to predict user behavior or targeted user. Predictive analytics developers have spotted some scenes somewhat similar data scientists, namely to test threshold and to predict the future performance of the enterprise on the basis of historical data by assuming.
9
Enterprise Data Management
Enterprises should improve data quality must consider data management, and data stewards need to set up to this end position, this position need to be able to use a variety of technological tools pooled large amounts of data around the enterprise, and data cleansing and normalization, data import data warehouse, becoming a usable version.
10
Data Security Studies
Data security in the office, is responsible for large-scale enterprise servers, storage, data security management, and network planning, information security project design and implementation.