Ashpatel: Four trends in large data

Morado Ventures was an early Angel fund launched by a former Yahoo executive Ash Pater (Ash Patel). On the 2013 Cloud World Congress, Ash Patel uses the enterprise case they've invested in to explain the four trends in big data and what you can do with the data. The first trend, real-time data analysis. Look at the global situation, 9 billion of the equipment is connected with the Internet, by 2020 will have 15 billion of the equipment, including mobile phones, machines, sensors. It's a big trend that our data volume is exploding and the machine will be much larger than the data that people used to bring. For example, the plane I'm sitting on will bring 22T of data per hour. The data generated 24 hours a day is huge, and we live in a world where different data are produced every minute. Data is most effective at this stage, so we have to do real-time data processing around the world. Without data processing, you have no way to store well, which is why we should consider dealing with real-time data. We once invested in a company called Data TORRENT. Hadoop processes your data and sends you a report every hour to tell you how the data changes. This is also true for data torrent, which allows you to use the architecture on Hadoop to give you a real-time, streamlined stream of data. You may have only a small hardware, every hour, every minute you can handle a lot of data, do some predictable analysis. Why is this important? Because you can monitor the data in real time, and you can make the status of the business update in real time. This is what we call a real-time platform, and its real-time nature is very important. Now a lot of feedback can generate data, like the financial industry. When financial fraud occurs, you need to find a channel for financial fraud. Or on the platform of oil drilling, you find the problem of which well's oil pressure, which requires real-time data analysis. The image is just one node together and the amount of data is very large. In Hadoog data, we store data in a certain form. Now the global situation is very complex, social networks are actually one of the charts. Transportation network, supply chain and so on these equipment, a machine is from the global thousands of parts together, each enterprise has its own transportation network. If there is a problem with a business, or if there is a problem with the transportation or the railroad line, you have to analyze the chart to measure its impact. This is difficult because for the analysis of graphs, this is also a difficult point in large data analysis. There is also a technology that we have invested in. Make full use of the effective figures in the chart to continuously expand and upgrade. Why is the data on the chart very important? Bitcoin has been hot lately. In a bank account you can transfer money if you want to know if this person isNot in "money laundering". A The money to B, in the financial transactions, the normal bank account will have a record, the money from the account a moved to account B. But now there are millions of financial data, you want to track, from a account to B account, you do not have a database to do. There are also some customer data for the customer, and we can see from the millions of data that a is not sending money to B. So it's also very important for the financial industry. This is what we call the importance of the chart. For chart-type data, you can analyze it, not just in social networks, but in other areas like infrastructure. Another trend is that as people use cloud computing a lot, you have the ability to manage. People have seen this change, like a container sending a thing to another location. In the area of software you can't easily pack and transfer software like a container. But one business Docker they can get people to pack their data, and apps can be easily packaged like containers. Now everyone in the cloud is using virtualization, and packaging is getting easier. You can classify your network processes, not necessarily only virtualization can be achieved. You have the entire operating system, you have your hardware, on this basis you have your own browser, for each application to be collected, on this basis for analysis. This is a very complex process, and Docker companies can package your software in a container that can be deployed on the same operating system. You can apply all the applications more accurately, and we can get all the benefits through virtualization. The company has Open-source software, and Google and other partners are working with him. Docker can do more things in the future, you can package the whole process, from development and production to expand to achieve integration, in a very simple way can be achieved. The last trend, the software defines the datacenter. Before the cloud, all the technologies were based on hardware, and now we need to rethink the architecture. Old data Center Some machines have a lower balance, this is a very common data center structure, after the invention of the cloud, we can apply virtualization to the hardware, in the cloud environment to run. Look at the network, the network is still hardware, we need to be in tandem, now there are ways to make some changes. So the calculation is now defined by the software. One company, Pluribus, provides the equipment to virtualize the entire architecture, routing, and so on. As you expand, as you join new customers, you can reconfigure the entire network, and you can do it on the software, without the need for greater change.