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Simplilearn:大数据职业综合指南(中译版)(7页).pdf

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1、BIG DATA CAREER GUIDEA Comprehensive Playbook To Becoming A Big Data EngineerOVERVIEWBECOME A PART OF THE BIG DATA UPRISING Over the last few years,technology has evolved at a rapid pace,enabling faster changes and processes.With the emergence of diverse technologies,skilled professionals can deepen

2、 their knowledge to become specialists in several fields or seek new career paths in these fields.This is particularly true of Big Data,where the types of jobs are increasing as the rate of data generated each day rises exponentially.New-age technologies arent just bringing in zettabytes of data,but

3、 changing the very nature of handling and processing data.For professionals with the right skill set,the Big Data market offers plenty of job opportunities and lucrative salaries.2020 is going to be an exciting time for professionals to stay current with tech trends and acquire cutting-edge technolo

4、gy skills.Simplilearns 2020 Big Data Playbook is your complete guide to the skills required,career opportunities available and the ideal learning path to propel a career in the thriving and lucrative field of Big Data.Our Playbook also provides the most trending technologies,the top companies that a

5、re hiring,and ways to jumpstart your career.Read this Big Data Playbook for a personalized roadmap to a successful Big Data career,and take a sneak peek into the world that awaits you.2|MARKET STUDY FORBIG DATA ENTHUSIASTS INDUSTRY UPDATEWhats Next for Big DataBig Data has taken the world by storm.E

6、verything in todays cloud-based business world moves fast,producing and compiling data at a rapid rate.The possibilities(and potential pitfalls)of managing and utilizing data operations are endless with new applications of Big Data being discovered every daycreating jobs across sectors and giving ri

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本文主要介绍了大数据工程师的职业指南,强调了大数据领域的发展迅速,数据生成量每天都在 exponentially 增长,为专业人才提供了丰富的就业机会和薪酬。文章指出,到2026年,大数据应用市场预计将从2018年的53亿美元增长到194亿美元。大数据技术正在改变各个行业,如金融、医疗、零售、教育、制造、运输等。大数据工程师的角色是设计、创建、测试和维护数据管理和处理系统,需要掌握的十大技能包括数据挖掘、数据可视化、Python、概率与统计、C++、定量分析模型、Java、Apache Spark、Hadoop和NoSQL。文章还提到了一些知名的公司正在招聘大数据专业人士,如谷歌、亚马逊、微软等。最后,文章推荐了Simplilearn平台提供的大数据相关课程,以帮助专业人士快速进入这个领域。
如何成为大数据工程师? 大数据在不同行业的应用有哪些? Simplilearn提供哪些大数据相关课程?
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