A Root password is setup on the instance (via console).A public IP address is configured on the instance (via console).A new Alibaba Cloud ECS instance with Ubuntu 14.04/16.04 server installed.Sign up for a Free Trial if you don't have one already. For this reason, it is enough to select "General Purpose" hardware on Alibaba Cloud for R Studio installation, which does not require high RAM and CPU. The special packages in R are responsible for orchestration and connection to these systems. Technologies such as Apache Hadoop and Apache Spark, which are specialized technologies for processing data in large data worlds, are often used in large data processing. At the core level, "Compute Optimized" machines offered by Alibaba Cloud are preferred. With special packages that support parallelization in R, functions can easily work in multi-core. In particular, parallel execution of machine learning algorithms is of great importance. To utilize the power of parallel calculation At this point, Alibaba Cloud's Memory Optimize ECS machines will be a good choice.ģ. When there is little work on data editing and data preparation on R and machines with high RAM are required to run machine learning models on commonly available table structures. General-purpose ECS machines provided by Alibaba Cloud will be sufficient to conduct experimental studies and examine new packages with R. Choosing the Right Instance Typeīefore we start the tutorial, it is important for you to decide on the hardware architecture according to your purpose of using RStudio.īasically we can talk about 4 types of needs for RStudio on Alibaba Cloud ECS: In this tutorial, we will be installing RStudio on an Alibaba Cloud Elastic Compute Service (ECS) instance to perform statistical data analysis and train machine learning algorithms. In this work, the RStudio server will go through the open source licensed version. There are two versions, RStudio server and local version, and commercial and open source versions of these two versions. Many R program developers work with RStudio, a tool that is easy to develop visually, and they can also document their work with the facilities provided by the documentation side. RStudio is one of the leading IDEs that support the R programming language. They can also visualize and present the data with very large visualization libraries. Users can connect to different sources and access the data. The R language, which is an open source and extensively used in the world of data science, has a very large library structure related to data analysis and machine learning algorithms. There are many commercial and non-commercial tools used in this specific area I have mentioned above. Another popular use of data science is the increasing importance of predictive maintenance work, which is widely adopted by manufacturing and electricity distribution companies. These systems are now being applied to a broader range of data types, such as images and videos, rather than just digital forms. For example, fraud detection systems that increase the profitability of insurance companies are heavily leveraged from a data-driven approach. Companies want to benefit from decision-making mechanisms built using data accumulated over the years.Įnterprises in many different sectors are making large profits by designing new data products with these data. In recent years, it has become more and more important to create meaningful patterns on large-scale data and to add value to business units with increasing data knowledge. This language is popular because of the availability of algorithms such as data preparation, data visualization, statistical computation, and machine learning with both open source as well as packet support. Today, the R programming language is one of the most common tools used by people engaged in data science. Tech Share is Alibaba Cloud's incentive program to encourage the sharing of technical knowledge and best practices within the cloud community. By Ali Aydın KOÇ, Alibaba Cloud Tech Share Author.
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