How does big data start? From small data to big data

To do big data, first of all, you should understand what is the core of your own enterprise or industry. We often find that many enterprises are defeated not by their current competitors, but by many competitors who are not your competitors. For a simple example, everyone thinks that Amazon is an e-commerce company, but this is wrong. Its main revenue now comes from the cloud (cloud service). That is to say, enterprises need to find their own core data (value).
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Production control equipment maps, multi-source data analysis issues in-depth mining

High-end equipment manufacturing enterprise factory, there are many production-related equipment and various types of equipment, equipment management work more difficult.
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3 Ways to Overcome Big Data Obstacles

In order to unlock the potential of advanced visualizations that enable organizations to analyze multiple sources of information and uncover hidden patterns and trends, certain challenges of leveraging big data should be addressed.
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Talking about data lake and data warehouse

Data Lake is a term that has emerged in the past decade to describe an important part of the data analysis pipeline in the big data world.
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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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Transforming the construction industry through digital twin modeling

The digital twin is a technology for real-time virtual modeling of objects, from buildings to entire cities, an emerging concept that could transform the built environment and real estate industry in many ways.
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Do I need to know Python to learn Big Data?

Python as a recognized language suitable for big data, want to do big data development and big data analysis, not only to use Java, Python is also very important a core.
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How Research Institutes Should Use Data Analytics Tools to Improve Research Efficiency

With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.
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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 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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