课程简介
数据工程师目前的需求量巨大， 甚至企业的对数据工程师的需求量远大于数据科学分析师。 “figures from job posting websites show much higher demand for data engineers than for data scientists.” Faced with a tsunami of big data, companies are eager for experts who can “ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple constituents in the enterprise.” 基于这样的工作需求的缺口， 我们特设了这个4～5月零基础强化培训， 把一个新手打造成一位合格的数据工程师。
课程大纲
(Total hours： Est. 80 H)
* Linux for dummies (3 hours)
* Database architectures (3 hours)
* SQL language and programming (15 hours)
* Data warehousing solutions (6 Hours)
* Amazon Cloud–AWS Essentials（6 Hours）
* NoSQL technologies (12 Hours including projects)
* Python for Data Analysis (15 hours including projects)
* Big Data ECO System (Hadoop/Map Reduce/Pig/Spark) (20 Hours including Projects)
开课时间： 2/8/2017 （Every Wed night & Sunday afternoon）
限时优惠价格 $1388 (before 1/10)
其他优惠：2人同行 第二人价格减半
另免费赠送，
1, 挂职实习经历
2，Bi-weekly Interview/Study Q&A
3, 工作机会推荐
4，简历改写
5，工作面试1/1辅导
6，一次免费积分课程
如何获得最佳学习效果？
按照我们以往教学的经验， 学习者需要花3倍于教学的时间， 比如这门课的课时在75小时， 那你线下要准备花上200小时的时间来完成我们讲师布置的作业与项目。
后继课程
如果你的目标是FLAG一线的好公司， 那你还得加上一门算法基础课。 这些一线公司的Data Engineer职位都会要求面试者有一定的算法基础。 这门课会在2017年5月开课。
什么是（大）数据工程师『(Big) Data Engineer』
An Interview with a Real Data Engineer
HOW IS THE ROLE OF DATA ENGINEERS CHANGING/EVOLVING?
A: We are in a data revolution, and these are exciting times. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA and the data consumer. Beyond the ubiquitous spreadsheet, graduating from RDBMS (which will always have a place in the data stack), we now work with NoSQL and Big Data technologies.
As the tools and processes become more complex, and because raw data is always dirty, data engineers will always have a place in the workforce. I do think the tools we use will become more refined and more powerful, but I don’t see raw data ever arriving clean. Also, I think we will have new, as-yet-unknown to us, data models that will keep things fresh and keep data engineers always learning.
数据工程师的收入如何？
Data Engineer
Average Salary (2015): $95,936 per year
Minimum: $66,000
Maximum: $117,000
Senior Data Engineer
Average Salary (2015): $124,338 per year
Minimum: $105,000
Maximum: $147,000
Big Data Engineer
Average Salary (2014): $110,250 – $152,750
Average Salary (2015): $119,250 – $168,250
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Ryan, System Support
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