1. Big data (English: Bigdata), also known as megadata, is the term used to refer to large or complex data sets that are insufficiently processed by traditional data processing applications. Big data can also be defined as large amounts of unstructured or structured data from a variety of sources.

2. Big data technology refers to the application technology of big data, covering various types of big data platforms, big data index systems and other big data application technologies. Big data is a collection of data that cannot be captured, managed and processed with conventional software tools within a certain time frame.

3. Big data refers to a collection of data that is very large and cannot be processed, stored, analyzed, and managed by traditional data processing methods. This data can come from a variety of different sources, such as social media, the Internet, sensors, mobile devices, and so on.

4. Big data, an IT industry term, is a collection of data that cannot be captured, managed, and processed within a certain timeframe using conventional software tools, and is a massive, high-growth, and diversified information asset that requires new processing modes in order to have stronger decision-making, insight discovery, and process optimization capabilities.

5, big data (bigdata), refers to a certain time frame can not use conventional software tools to capture, manage and process the collection of data, is the need for a new processing model in order to have a stronger decision-making, insight discovery and process optimization capabilities of the volume, high growth rate and diversity of information assets.

6, a large number (Volume): a large number of reflected in the volume of data, big data collection, storage, calculation of the volume are very large. Generally more than a petabyte of data can be called big data, in practical applications, big data data volume is usually as high as dozens of terabytes, or even hundreds of petabytes.