High-end equipment manufacturing enterprise factory, there are many production-related equipment and various types of equipment, equipment management work more difficult.
Big Data
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.
The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.
Big data analysis is a complex process of analyzing a large amount of data to discover information such as hidden patterns, relevance, market trends and consumer preferences, which helps enterprises make better decisions.
Big data has always been a relatively mysterious industry, in recent years because of big data discriminatory pricing only by more than the average person to understand, so have you ever thought about big data whether it is developed or analyzed, where the data inside are coming from?
2013 is called the first year of big data, and all walks of life are gradually opening the era of big data applications. Until now, big data is still talked about.
Big data has been closely related to our life, many enterprises have started to use big data, even a small thing in our life may be related to big data.
The enterprise data space is growing twice as fast as the consumer data space, in part because organizations are increasingly using the cloud for storage and consumption. Much of this raw data is often located in disparate silos at the point of collection, limiting its use in the enterprise.
When executives hear the term "big data", they naturally think of an amazing amount of available data. This data comes from e-commerce and omni channel marketing, or from connected devices on the Internet of Things, or from applications that generate more detailed information about trading activities.
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.