With the rapid development of the Internet era, the data generated by enterprises is increasing day by day. How to make these complex and disorderly data generate value, and how to make enterprises easily control these massive data information to innovate and quickly insight into business opportunities are the urgent needs of enterprises today. Traditional data processing and analysis ability can no longer meet the requirements, the advent of big data era to solve this imminent demand.
The first step to learning big data as an individual is to have data, which is now very easy to access. Various events such as Kaggle, AI Challenge, DataCastle, Tianchi, and several companies and organizations provide data sets. Then there is the platform. However, how to obtain enterprise-level big data storage and computing capabilities, and build virtual machines on personal PCS or small enterprises’ servers to learn big data is ok, but practice is far from enough.
But a lot of times we waste too much time building experimental environments. Download some software packages from the Internet. Because of version updates or other reasons, many software packages soon become unusable. And encountered some environmental problems because the version and environment is very different, may be only a small problem, but it is difficult to find a solution. This time for you to bring a more suitable for personal practice of cloud experimental platform.
Huawei Cloud was launched in July 2017. In less than a year, it has launched 99 cloud services in 14 categories and 50+ solutions. One of the most eye-catching is EI big data MapReduce Service.
Huawei Cloud MRS service is from open source, so it is completely seamless for developers. In terms of data processing components, open source components such as Hadoop, Spark, HBase, Kafka and Storm are strengthened and encapsulated into MRS services, creating a highly reliable, highly secure and easy-to-use operation and maintenance platform, providing large capacity data storage and analysis capabilities, and meeting enterprise-level data storage and processing requirements. Users can independently apply for and use Hadoop, Spark, HBase, and Hive components to quickly create clusters on hosts and provide batch data storage and computing capabilities with low real-time requirements for massive data.
MRS is easy to use. It takes only 15 minutes to start the MRS cluster, and you do not need to spend time on node deployment, cluster configuration, and cluster debugging. MRS takes care of these tasks automatically and the user just needs to concentrate on the analysis. Provide SQL and OpenAPI and other easy-to-use interfaces, greatly reduce the programming difficulty of developers. After the data is stored and calculated, the cluster service can be terminated. After the cluster is terminated, no fees are generated. Of course, you can also choose to run the cluster for a long time.
Huawei has opened its 30 years of technological achievements and practical experience to the government, enterprises, partners and developers. We also spent some time and thought to do a “small thing”, combining the learning of big data with Huawei Cloud. The convenience brought by Huawei cloud EI big data MRS service is utilized to lower the threshold of big data learning, develop video learning courses, effectively solve the problem of big data learning, and let users experience how to develop big data at the enterprise level.
A good learning method and platform can save their own fumbling many detours. If you want to learn the big data development course, but can’t find the right way for you, then sign up for the 21-day Transformation Big Data Reality Camp, with the help of famous teachers, free learning, and gifts. You can scan the QR code to register.
