Big Data Emerging Technologies

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课程主页: https://www.coursera.org/archive/big-data-emerging-technologies

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课程简介

Yonsei University

课程大纲

The first module “Big Data Rankings & Products” focuses on the relation and market shares of big data hardware, software, and professional services. This information provides an insight to how future industry, products, services, schools, and government organizations will be influenced by big data technology. To have a deeper view into the world’s top big data products line and service types, the lecture provides an overview on the major big data company, which include IBM, SAP, Oracle, HPE, Splunk, Dell, Teradata, Microsoft, Cisco, and AWS. In order to understand the power of big data technology, the difference of big data analysis compared to traditional data analysis is explained. This is followed by a lecture on the 4 V big challenges of big data technology, which deal with issues in the volume, variety, velocity, and veracity of the massive data. Based on this introduction information, big data technology used in adding global insights on investments, help locate new stores and factories, and run real-time recommendation systems by Wal-Mart, Amazon, and Citibank is introduced.

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课程详情

Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!

大数据新兴技术:每次您使用Google搜索商品,每次使用Facebook,Twitter,Instagram或任何其他SNS(社交网络服务),以及每次从Amazon.com上推荐的产品清单中购买商品时,使用大数据系统。此外,大数据技术每天都支持您的智能手机,智能手表,Alexa,Siri和汽车(如果是较新的型号)。当前,世界顶级公司正在使用大数据技术,每个公司都需要先进的大数据技术支持。简而言之,大数据技术不是贵公司的选择,而是生存和增长的必要条件。因此,现在正是学习大数据以及如何利用大数据为您的公司服务的合适时机。这6个模块的课程首先重点介绍大数据硬件,软件和专业服务在全球的行业市场份额排名,然后介绍主要大数据公司在世界上排名第一的大数据产品线和服务类型。然后,讲座重点讨论了如何基于世界上最受欢迎的三种大数据技术Hadoop,Spark和Storm进行大数据分析。最后一部分着重于提供有关世界上最著名,使用最广泛的大数据统计分析系统之一IBM SPSS Statistics的经验。本课程旨在帮助您准备在即将到来的大数据时代成功开展业务战略规划。欢迎来到神奇的大数据世界!

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