Data service: meta-market
Data visualization: Tableau
Big data analysis: ParAccel
Business intelligence field: QlikTech
Data science: Kaggle
E-commerce data: TellApart
Social media data: DataSift
1, big data, also known as huge data, refers to massive, high-growth and diversified information assets, which need new processing modes to have stronger decision-making, insight and process optimization capabilities. The concept of "big data" was first put forward by Viktor Mayer-Sch?nberger and Kenneth Cookeye in The Age of Big Data, which means that all data are used for analysis and processing, not random analysis (sampling survey).
2. The strategic significance of big data technology lies not in mastering huge data information, but in specialized processing of these meaningful data. In other words, if big data is compared to an industry, then the key to the profitability of this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".
3. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and it must adopt a distributed architecture. It is characterized by distributed data mining of massive data, but it must rely on distributed processing of cloud computing, distributed database, cloud storage and virtualization technology.