Data center migration, the development of big data and the Internet of things

Data center migration, according to research Gartner company predicts that by the end of 2020, there will be 26 billion internet of things equipment worldwide, and lead to substantial growth in big data analysis. As more and more Internet devices can be connected to the Internet and communications with people and devices, the Internet of things is changing people's lives, jobs, entertainment and travel patterns.
This ubiquitous connection generates a large amount of big data, which is an extremely large set of data, difficult to analyze with traditional tools, including unstructured data or information that is not within the scope of traditional databases. IDC predicts that the big data market will increase from just $five 3 billion 200 million years ago to $32 billion 400 million, and big data has great potential in the financial services industry, healthcare industry, manufacturing and other industries. But driverless cars, smart kitchen, health and fitness products, smart grid, smart city, intelligent train and other emerging industries are booming, the development of large data networking and data center operators will be forced to completely rethink their infrastructure.

Today's data centers are experiencing the transition from design and operation to application centric data centric models to accommodate the influx of storage and analysis data, as well as to meet the needs of computing and storage resources. Because of this shift, the data center will have to focus on scalability, connectivity and availability, as they try to provide the necessary infrastructure to handle large data driven by the huge number of things.
Due to the big data and the Internet of things in the organization and deployment time is not long, so the storage demand is unpredictable and volatile, which forced the organization needs to establish a very flexible data center environment, the environment must be adaptable. Enterprises usually store PB or more data, the facilities must be scalable, and can immediately increase the configuration and capacity, without the need to close other storage systems. The architecture and design of the new data center must be able to rapidly increase the capacity that is available on demand.
Big data and networking and data center operators to consider the construction of data center investment opportunities, they will continue to edge data center, so that the content or Web application closer to end users, so as to ensure very fast and secure access to the required data. Distributed data centers will ensure fast and secure access to big data, and 26 billion network enabled devices that will increasingly become a pillar of global business and personal life.
Local data centers will also reduce operating costs, thereby preventing multiple networks from sending unstructured data and providing valuable analysis to local users only.
Many large organizations run large scale computing environments to adapt to big data. These systems can be rapidly and efficiently extended to handle large amounts of data from web services, databases, data analysis, high-performance computing, and other applications.
The large increase of traffic makes the data center connection more prominent.  Infrastructure developers must make connectivity easy, data centers must greatly increase bandwidth, and provide reliable and high-performance network. To achieve this, data centers need to provide a variety of cable connections and network operators. The neutrality of operators provides flexibility and also reduces the risk of connection failure.
Providing low latency network connections with high availability, and allowing businesses to keep in touch with customers, is also crucial. Network latency is also a key factor in data center infrastructure to avoid data obsolescence and access to real-time information needed for enterprise real-time decision-making.
It is important for companies to recognize the exponential growth rate of Internet of things growth. In order to maintain the high availability of new Internet of things services and big data, the excessive supply will become unsustainable and costly. For many of the data center, data center infrastructure management (DCIM) solutions will provide the missing link, make things become feasible in technology and economy, and provides an economical and efficient scalable way to support its huge infrastructure. DCIM is the integration of IT and architectural facilities within the organization. The DCIM solution also creates value through the efficiency and automation of data center operations through its ability to collect data from multiple sensors and devices.