Big Data Technology

Hadoop mapreduce The catalyst for the transformation of thinking patterns is the birth of a large number of new technologies. They can deal with the three challenges brought by big data analysis. Rooted in the open-source community, hadoop is already the most widely used technology on big data platforms, especially for unstructured data such as text, social media subscriptions, and videos. In addition to the distributed file system, hadoop also features a mapreduce architecture for processing large data sets. According to authoritative reports, many enterprises have begun to use or evaluate hadoop technology as the standard of their big data platform. Nosql Database We live in an interesting era. Some new technologies are still emerging in the relatively stable database market, and they will play a role in the next few years. In fact, nosql databases, on the basis of a broad faction, contain several seed technologies. In general, they focus on Relational Database Engine restrictions, such as indexing, streaming media, and high-traffic WebSite Services. In these fields, nosql is more efficient than relational database engines. Memory Analysis Among the top ten strategic technologies selected by Gartner in 2012, the application of memory Analysis in personal consumption electronic devices and other embedded devices will be rapidly developed. As more and more low-cost memory is used in data centers, how to use this advantage to maximize software optimization becomes a key issue. With its real-time and high-performance features, memory analysis has become the "new darling" of the big data analysis era ". Memory analysis may be the answer to how to turn big data into the best insight. In the context of big data, users and IT providers should regard it as a long-term technological trend.Integrated Device With the emergence of Data Warehouse appliance, the potential of business intelligence and big data analysis has also been stimulated. Many enterprises will use the advantages of new data warehouse technologies to improve their competitiveness. Integrated devices integrate enterprise data warehouse hardware and software to improve query performance, expand storage space, and obtain more analysis functions, and provide the same advantages as traditional data warehouse systems. In the big data era, integrated devices will become an important tool for enterprises to cope with Data Challenges.