Shulou(Shulou.com)06/02 Report--

Gami Valley big data training Please add a link to describe the founder Mr. Zhang told you that big data's employment mainly has three directions: first, big data talents in data analysis, second, big data talents in system research and development, and third, big data talents in application development. Their basic positions are big data system research and development engineer, big data application development engineer, big data analyst.

Here are ten popular positions related to big data.

I. ETL research and development

With the increasing types and sources of enterprise data, the integration and processing of data is becoming more and more difficult. Enterprises urgently need a kind of talents with the ability of data integration. ETL developer this is a professional position created on the basis of this requirement. One of the reasons why ETL talents are so hot in big data's era is that in the early stage of big data application in enterprises, Hadoop was just the ETL of the poor.

II. Hadoop development

With the continuous increase of data scale, the data processing cost of traditional BI is too high and the burden on enterprises is increased. While the cheap data processing capacity of Hadoop has been re-discovered, enterprise demand continues to grow. And become a kind of technology that big data talents must master.

III. Development of visualization tools

Visual development is on the graphical user interface provided by visual tools, through the operation of interface elements, visual development tools automatically generate relevant application software, easily connecting all data across multiple resources and levels.

In the past, data visualization belonged to the category of business intelligence developers, but with the rise of Hadoop, data visualization has become an independent professional skill and position.

IV. Information architecture development

Big data reignited the upsurge of master data management. Making full use of enterprise data and supporting decision-making requires very professional skills. Information architects must understand how to define and archive key elements to ensure that data is managed and utilized in the most efficient manner. Key skills of information architects include master data management, business knowledge, and data modeling.

Research on data Warehouse

To facilitate enterprise decision-making, the data warehouse research post created for the purpose of analytical reporting and decision support is a strategic collection of all types of data. Provide business intelligence services for enterprises to guide business process improvement and monitor time, cost, quality and control.

VI. OLAP development

OLAP online analysis developer is responsible for extracting data from relational or non-relational data sources to build a model, and then creating a user interface for data access to provide high-performance predefined query functions.

VII. Data science research

Data scientist is a new type of work, which can transform the data and technology of the enterprise into the business value of the enterprise. With the development of data science, more and more practical work will be carried out directly on data, which will enable human beings to understand data and thus understand nature and behavior.

VIII. Data prediction and analysis

Marketing departments often use predictive analysis to predict user behavior or target users. Some scenarios of predictive analysis developers look like data scientists, that is, testing thresholds and predicting future performance based on enterprise historical data through assumptions.

IX. Enterprise data Management

In order to improve data quality, enterprises must consider data management, and need to set up a data housekeeper position for this purpose. The personnel of this position need to be able to use a variety of technical tools to gather a large amount of data around the enterprise, and to clean and standardize the data. Import the data into the data warehouse and become an available version.

X. research on data security

The position of data security is mainly responsible for the management of large servers, storage and data security within the enterprise, as well as the planning, design and implementation of network and information security projects.

If you are still confused and don't know what to learn, it is a good choice to come to Gami Valley big data to learn big data development. Are you really not tempted to start with an average salary of 20,000 yuan?

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