What is hadoop_Huawei big data platform hadoop you know how much
Hadoop has been widely used in big data processing applications thanks to its natural advantages in data extraction, transformation and loading (ETL). Hadoop's distributed architecture puts the big data processing engine as close as possible to the storage, and is suitable for batch operations such as ETL, because batch results like this can go straight to storage. Hadoop's MapReduce feature breaks down a single task and sends a fragmented task to multiple nodes, which are then reduced to the data warehouse as a single data set. Hadoop is a software framework that enables distributed processing of large amounts of data. Hadoop handles data in a reliable, efficient, and scalable way. Hadoop is reliable because it assumes that the computational elements and storage will fail, so it maintains multiple copies of the working data, ensuring that the processing can be redistributed for failed nodes. Hadoop is efficient because it works in parallel and speeds up processing through parallel processing. Hadoop is also scalable and can handle petabytes of data. In addition, Hadoop relies on community services, so its cost is low and anyone can use it. When it comes to big data platforms, you have to mention Hadoop. Hadoop has three major genes: First, Hadoop requires a sharenothing architecture, so it can scale-out. Second, it is a computational storage decoupling architecture, the benefit is that the computing engine can be diversified. For example, batch processing has Hive, interactive query has Spark, machine learning can also have these deep learning frameworks of tensorflow. Third, Hadoop is near-data computing. Because the big data platform is a data-intensive computing scenario, IO can be a bottleneck in this non-scenario, so moving the calculation to the location of the data will improve the performance of the calculation. The development of network technology is a key factor driving the development of big data platforms. Before 2012, it was an era of the Internet. During this period, Internet companies and telecom operators had a huge amount of data, so they began to use the Hadoop platform to process big data. At that time, the programmer wrote the program himself to run on the Hadoop platform to solve the application problem. The rapid development of mobile Internet after 2012 has made the service industry the first to digitize. For example, in the financial industry, mobile apps allow users to query and transfer money anytime, anywhere. At this time, banks are facing the impact of massive data and high concurrency, and a big data platform is needed to solve this problem. This is why Huawei launched FusionInsight, a big data platform product for the industry market in 2013. Next, the development of the Internet of Things will make more physical industries digital. The characteristics of data are more semi-structured and unstructured. More new search technologies such as AI will help us to easily use the big data platform. Huawei FusionInsight Big Data Platform is a converged data processing and service platform that integrates Hadoop ecosystem distribution, massively parallel processing database and big data cloud service. It has end-to-end lifecycle solution capabilities. In addition to providing comprehensive data processing capabilities including batch processing, memory computing, stream computing and MPPDB, it also provides data analysis and mining platform and data service platform to help users realize the transformation from data to knowledge and knowledge to wisdom. Help users mine data values ​​from massive amounts of data. In addition, Huawei's FusionInsight big data platform is a solution optimized according to industry customer needs. To solve the user's problems in specific scenarios, provide many innovative technical capabilities, to name a few: The first is unified SQL. There are many components in big data technology that can use the SQL language for data processing, such as Hive, SparkSQL, Elk, MPPDB, etc. When users develop business for these components, they need to perform different components separately, which causes great inconvenience. FusionInsight provides unified SQL. Only one SQL development management interface appears on the external business interface. The service distribution is implemented through the unified SQL service distribution layer, which simplifies business development. At the same time, Huawei also provides the SQLonHadoop engine Elk, which is fully compatible with the SQL2003 standard. It can pass the TPC-DS test without modifying the test script, and its performance is 3 times higher than that of the open source product. By using unified SQL technology, a large insurance company realized the replacement of traditional data warehouses with big data platforms, and its performance improved by 10-100 times in complex computing business scenarios. The second is real-time search. Huawei FusionInsight is the first to realize unified and full-text search for Hadoop platform and MPPDB multi-warehouse platform. It is the first to support SQLonSolr interface, improve business development efficiency by more than 5 times, and create a unique label indexing scheme to improve search performance by 3-10 times. Currently, real-time search technology has been commercialized in the safe city and financial industries. In the safe city project of a certain province in China, the tens of billions of scale data are centrally queried, and the real-time search response time is "3 seconds." The third is real-time decision making. Many businesses that are closely related to daily life require real-time decision making, such as risk control in the process of using a bank card transaction. Due to the speed of traditional technology processing, it is often only possible to achieve after-the-fact risk control. That is to say, after the user completes the card swiping, the bank can check whether the transaction is risky. This will have a lot of risks for banks and customers. Huawei's FusionInsight real-time decision-making platform can implement risk checking of millisecond-level complex rules and provide millions of TIPS business processing capabilities, so that risk control can be turned into an event and ensure that end-to-end transactions can be completed within 500 milliseconds. Does not affect the experience of trading users. The fourth is graph analysis technology. There are many times in life that require user relationship analysis for risk control and business processing. If one of our customers is a VIP customer, then it is highly likely that his friend will meet VIP customer conditions. Therefore, if we can find his circle of friends through relationship analysis technology and conduct targeted marketing for his friends, the possibility of business success will also increase greatly. However, traditional database technology is very difficult to deal with customer relationship discovery. A company has done a test and wants to find the relationship information between customers in 20 million customers, but it has not been able to figure it out. But using graph analysis technology can solve this kind of problem very well. Because in the graph database, the user is the point, the user relationship is the edge, and the discovery of the user relationship becomes a problem that requires several edges between the discovery point and the point. Huawei's distributed graph database can realize real-time query of tens of billions of vertices, so that user relationships can be quickly discovered. In a project, Huawei helped customers achieve 1.37 billion relationship graph data, and the 3 layer relationship query second-level response, which greatly improved the speed of business response. Finally, Huawei's big data platform is a product with rich market practices. Huawei's FusionInsight big data platform has been successfully commercialized in 40+ countries in a total of 700+ projects. Customers include China Petroleum, FAW Group, China Commercial Aircraft, Industrial and Commercial Bank, China Merchants Bank, China Mobile, Spain Telecom and many other Fortune 500 companies. At the same time, Huawei has established 13 open laboratories around the world. Here, Huawei and its 200+ partners have jointly innovated big data solutions, including SAP, Accenture, IBM, Yuxin Technology, ChinaSoft International, etc., to jointly promote big data technology. Application in all walks of life. The number of fairs is going on, meeting several fairs, and working with Huawei to open a bright future for the big data era!
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