What is streaming data?

Streaming data includes a variety of data, such as log files generated by customers using your mobile or web applications, online shopping data, in-game player activity, social networking site information, financial trading floors, or geospatial services, as well as telemetry data from connected devices or instruments in your data center.
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Six big data mistakes that enterprises should avoid

The application of big data is just like the use of credit cards. The better you use it, the greater the income. On the contrary, can enterprises bear the cost of mistakes in big data? This article describes 6 major mistakes and solutions.
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Has the development of big data come to an end?

The data grid can overcome many challenges inherent in big data by driving higher levels of autonomy and data engineering alliances among a wider range of stakeholders. However, big data is not a panacea, it brings a series of risks for enterprises to manage.
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How Big Data is changing the nature of consumer lending

In the digital age, the emergence of disruptive technologies has changed the nature of lending. Thanks to big data, the lending process is now less about the bank and more about the customer.
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3 Ways to Successfully Manage and Protect Your Data

Security solutions that work well locally or in the cloud can be vulnerable when used in a hybrid data center, and organizations need a new approach to meet the data security needs of hybrid data centers.
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Big data is transforming education

Big data offers educators unprecedented opportunities to reach and instruct students in new ways. Its also allows for a deeper understanding of students' educational experiences, reduces dropout rates, and helps schools adjust funding and enrollment strategies.
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What are the tips for storing big data in a Hadoop environment?

In learning Big Data process, Hadoop is important as a core module for Big Data development.
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What is the biggest gap in the big data trend sweeping the world?

With the continuous improvement of big data infrastructure, data analytics and business intelligence tools will gradually become the mainstay of big data. Therefore, the big data industry will develop toward these trends in the coming years.
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How to Improve Big Data Performance with Low Latency Analytics?

Low-latency analytics is a technology that enables processing and analyzing big data in real time or near real time. It is critical in big data processing because it allows organizations to extract insights from data faster.
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