Amazon EMR is the industry-leading big data analytics service for petabyte-scale data processing, interactive analytics, and machine learning using open source frameworks. It can run big data applications faster and at less than half the cost of on-premises solutions. . Through the performance-optimized and open-source API-compatible versions of Spark, Hive, and Presto, the insight time is doubled.
Amazon EMR Serverless is Amazon EMR's serverless deployment option, which allows customers to run big data analytics applications without configuring, managing, and scaling clusters or servers.
Emergence of new technologies
Bringing innovation to application coding
With the continuous development of information technology, computer programming has become an indispensable part of modern society. However, writing code is still a relatively tedious and time-consuming process, requiring developers to spend a lot of time and effort to create and maintain applications.
In the future, as new technologies continue to emerge, we can see fundamental changes in the way we write code. In the future, the only code that needs to be written is "business logic" because all other infrastructure and frameworks are automatically completed by machines.
In the future, based on the characteristics of Serverless, every line of code will be written for business scenarios. Developers no longer need to focus on the management of underlying servers and infrastructure, and can instead focus on building great applications and features that enable more efficient business processes and a better user experience. Serverless will allow developers to quickly create, test, and deploy code as needed, while enjoying the advantages of automatic expansion, elasticity, reliability, and security. This vision will accelerate software development, increase productivity, and bring technology closer to business needs.
Amazon Cloud Technology provides comprehensive serverless data analysis service options, including Amazon Redshift data warehouse, Amazon EMR big data platform, Amazon Kinesis streaming processing, Amazon QuickSight business intelligence tools, etc. These services help companies collect, store, process and analyze massive amounts of data to better understand customer behavior, optimize business decisions and explore new opportunities. In addition, Amazon Cloud Technology also provides a series of data-related hosting services, such as Amazon RDS relational database, Amazon DynamoDB cloud native database, and Amazon S3 object storage service. Cloud-based databases, data lakes, and data warehouses can be created easily and quickly to provide enterprises with high-performance, scalable, and secure data management solutions.
6 reasons to choose Amazon EMR Serverless
Amazon EMR Serverless is a fast, scalable, and elastic analytics service that provides enterprises with an efficient way to process large-scale data without requiring pre-configuration or management of servers.
● Agile: EMR Serverless can be started and shut down quickly, and only consumes resources when data needs to be processed, allowing users to quickly build data processing tasks and effectively control costs. Through performance optimization and compatibility with open source APIs, the performance of Spark and Hive can be improved by up to 2 times compared to open source.
● Fast start-up time: Using EMR Serverless, you can start processing data immediately without pre-configuring or managing the server. Amazon Cloud Technologies is responsible for all underlying processes, including initialization, configuration, upgrades, and maintenance of the required hardware and software. This means that within minutes the service can be launched and data can be analyzed. Therefore, EMR Serverless can help the analysis team save a lot of time and energy and accelerate the launch time of data analysis applications.
● Highly scalable: Amazon EMR Serverless is a highly scalable analytics service that automatically scales to handle large-scale data sets. This means you don’t have to worry about predicting how much capacity you’ll need in the future, nor do you have to make any modifications to your system. EMR Serverless automatically scales up and down based on your needs, so you can focus on analyzing data rather than managing infrastructure.
● Cost-effectiveness: EMR Serverless uses an on-demand pricing model, which means you only pay for the resources you actually use instead of buying or leasing an entire server. This flexible pricing model makes EMR Serverless very cost-effective, especially for enterprises that need to process large-scale data sets but cannot accurately predict current and future workloads.
● High security: Amazon Cloud Technology has always been one of the most trusted brands in the cloud computing industry, and EMR Serverless inherits the security of Amazon Cloud Technology. EMR Serverless provides multiple layers of security, including network security, authentication and access control, encryption and compliance. You can safely perform analysis work on EMR Serverless without worrying about security issues.
● Multi-availability zone design: The native design of Amazon EMR Serverless service supports the deployment of multiple availability zones. Jobs submitted by users will be automatically executed in one availability zone. In the case of disaster recovery, failed jobs will be automatically submitted to other available areas for execution without manual intervention, ensuring high availability and task stability.