Big Data Insights
Big Data: The Basics
All Big Data Insights
- Article 统计建模和机器学习的区别之我见我们可以通过数据所承担的角色来区分统计建模、经典机器学习和现代机器学习。
- Insights Page Article 大数据分析强势助力数字化转型中国在经济新常态下，面临更多新挑战。企业必须借助更新的科技力量来应对挑战、脱颖而出，数字化转型将成为未来10年所有行业用户的主旋律。
- What can big data analytics do for you?We outline five broad ways that analytics is being used to meet business goals. And we include examples from organizations who are already seeing results.
- Article 新一轮的数据分析“军备竞赛”Rogue trading and dodgy deals are not the only things keeping chief risk officers awake. Today’s regulators now employ big data analytics to uncover troubles in the commodity swaps market. Staying ahead of innocent compliance errors – and quickly identifying the occasional bad actor from within – will require some tough analytics of your own.
- Analytics at the edgeStreaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
- Modernize Your Approach to Big DataModernization is not just about systems and technology. In fact, technology changes can seem easy when compared with cultural change. Learn how to evolve your mind sets and leverage your data sets to accelerate knowledge throughout the organization.
- Using Hadoop as an analytics catalystLearn how to get the most out of Hadoop by developing a sound strategy for analyzing data in this new storage environment.
- Are You Late to the Big Data Party?Have you recently embraced all things big data? But only superficially? Find out what the real big data experts have been doing for the last decade. And what they're doing now with data virtualization.
- A Getting Started With Hadoop ChecklistFrom low-cost storage to distributed processing, Hadoop offers many promises. But there’s an expanding analytics ecosystem evolving around this big data platform that’s worth some study. Read our checklist and make sure you’re not overlooking anything important in your rush to get value from Hadoop.