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This article mainly introduces what is the difference between big data data lake and data center. What is introduced in this article is very detailed and has a certain reference value. Interested friends must finish reading it!

I. the definition of the data lake

Wikipedia defines a data lake (Data Lake) as a repository or system that stores data in its original format. It stores the data as is without the need to structure the data in advance. A data lake can store structured data (such as tables in relational databases), semi-structured data (such as CSV, logs, XML, JSON), unstructured data (such as email, documents, PDF) and binary data (such as graphics, audio, video).

However, with the integration and development of big data technology, the data lake continues to evolve, bringing together a variety of technologies, including data warehouse, real-time and high-speed data flow technology, data mining, deep learning, distributed storage and other technologies. It has gradually developed into a unified data management platform that can store all structured and unstructured data of any size, and can run different types of big data tools for big data processing, real-time analysis and machine learning.

Second, the definition of the data center

With regard to the data center, the author consulted a lot of information, and did not find the exact and standard definition of it. In fact, the data center is a concept with "Chinese characteristics". In foreign countries, not many people talk about the data center.

Generally speaking, the data center platform is a set of sustainable mechanism to "make the enterprise's data use", a strategic choice and organizational form, which is based on the enterprise's unique business model and organizational structure, supported by tangible products and implementation methodology. build a mechanism that continuously turns data into assets and serves the business.

The relationship between the data lake and the data center, and the difference between the data lake and the data center.

In the era of big data, the amount of data is becoming more and more, and the form of data is becoming more and more complex, while the existing data storage and processing technologies represented by data warehouse are unable to meet the needs of massive and diverse data processing. "data Lake" is to materialize complex things, more technical, with an image name, reflects its advantages and capabilities in big data storage and big data processing.

As a centralized repository, the data lake can store data of any form (structured and unstructured) and of any size. In the data lake, the stored data can not be structured, but only when the data is used, the powerful big data query, processing, analysis and other components of the data lake are used to process and apply the data. Therefore, the data lake has the ability to run different types of data analysis.

What is the difference between the data lake and the data center?

The data center station inherits the technology of the data lake from the technical level, collects, processes, stores and calculates massive, multi-source and diverse data through data technology, unifies the standard and caliber at the same time, and stores the data in a standard form to form big data's asset layer to meet the needs of foreground data analysis and application.

The data lake emphasizes the application, is closer to the business, emphasizes the ability to serve the foreground, realizes the precipitation and reuse of logic, algorithms, labels, models and data assets, and can more quickly meet the needs of business and application development, traceable and more accurate.

The above is all the contents of this article entitled "what is the difference between big data data Lake and data Center". Thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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