Common big data-related services include providing data collection, monitoring, analysis, supervision, and assessment to different types of service forms.

Big data service is a variety of data services covering data lifecycle related activities such as data collection, transmission, storage, processing (including computation, analysis, visualization, etc.), exchange, and destruction of massive, heterogeneous, and fast-changing data by supporting organizations or individuals through the underlying scalable big data platform and various big data applications on the upper layer.

In this era of rapidly evolving smart hardware, an important issue plaguing application developers is how to find that delicate balance between power, coverage, transmission rate, and cost. Enterprise organizations can use relevant data and analytics to help them reduce costs, improve efficiency, develop new products, make smarter business decisions, and more.

Trends in Big Data

1. Resourcing Data

What is resourcing refers to the fact that Big Data has become an important strategic resource of concern to business and society, and has become a new focus for all to compete for. As a result, enterprises must formulate a strategic plan for big data marketing in advance to seize the market opportunity.

2, and the depth of the combination of cloud computing

Big data can not be separated from the cloud processing, cloud processing for big data provides an elastic and expandable infrastructure, is one of the platforms to generate big data. Since 2013, big data technology has begun to closely integrate with cloud computing technology, and it is expected that the relationship between the two will be even closer in the future. In addition, the Internet of Things (IoT), mobile Internet and other emerging forms of computing will also come together to fuel the big data revolution.

3, breakthroughs in scientific theory

With the rapid development of big data, like computers and the Internet, big data is likely to be a new round of technological revolution. The accompanying rise of data mining, machine learning and artificial intelligence and other related technologies may change many of the algorithms and basic theories in the data world, realizing breakthroughs in science and technology.