Cloud-based streaming data aggregation and computation service that meets the needs of real-time data processing
Tencent Cloud Stream Compute Service (SCS) is a cloud-based streaming data aggregation and computation service. In just a few minutes, you can easily build stream computing applications such as website clickstream analysis, targeted ecommerce recommendations and real-time management of financial risks. The fully managed SCS is able to horizontally scale computing resources in real time, so you can forget worrying about the OPS of the infrastructure. In addition, SCS can easily access data sources in the cloud to provide you with complete support.
SCS provides millisecond-level computing capabilities. By writing SQL statements, you can compute the data entering SCS in real time without having to develop complex code, so that you can respond to ever-changing business scenarios with accuracy and ease.SCS provides millisecond-level computing capabilities. By writing SQL statements, you can compute the data entering SCS in real time without having to develop complex code, so that you can respond to ever-changing business scenarios with accuracy and ease.
With high volumes of readily schedulable computing resources in the cloud, SCS can intelligently scale the current data throughput based on system load in just minutes with no manual intervention needed, helping you quickly meet the needs of business growth and reduce corporate overheads.
SCS covers the full chain of real-time streaming data aggregation and computation. COS, CDB, CKafka and other data sources can be seamlessly accessed while achieving millisecond-level computational analysis using the visual configuration provided by the data connector and online SQL orchestration in the IDE.
The fully managed SCS resides in the cloud, so you no longer need to worry about the scheduling of the underlying infrastructure and demanding daily OPS tasks. In addition to helping you quickly create a cloud-based stream computing and analysis system, SCS also allows you to focus on the development of analytical models to address ever-changing business challenges.
SCS provides security protection for computation and data and offers computing resources to each customer in an isolated manner to avoid mutual impact. At the data security level, it furnishes a security isolation mechanism where only data sources belonging to the current account can be accessed by the computing resources. With SCS, you can rest assured that your computing and data are in good hands while enjoying all the conveniences the hosted service has to offer.
SCS is capable of processing continuous data streams and immediately initiates a computing task for each incoming data item, meaning that incoming data is computed in real time. If the data stream goes uninterrupted, real-time computing will continue forever.
SCS detects whether the stream computing resources in use match the data traffic. If processing cannot keep up with data inflows, new computing resources will be added for computation. Likewise, computing resources will be reduced when data inflows are less heavy. The entire process requires no manual intervention, and the scope of scaling is controlled by predefined configurations.
SCS is equipped with a visual UI where you can easily configure various data sources that are seamlessly accessed through SCS such as CDB, COS and CKafka. After configuration is complete, SCS will automatically initiate the data transfer process. In addition, data can also be imported from other sources using the SDK provided by SCS.
SCS provides an online IDE through which SQL statements can be written online and published to a live network after debugging. SCS then parses the analysis defined in SQL and begins to compute the incoming data in real time. The entire process requires no complex programming, greatly lowering the knowledge threshold for using real-time stream computing.
Internet users typically click multiples times on websites when browsing. Analysis of these clickstreams makes it possible to better understand emerging topics and trends.
By taking advantage of SCS, you can build an analysis system in just minutes to perform real-time aggregation and analysis of user behavior data and continuously mine valuable information, which helps you make better operational decisions and improve user experience.
In the case of financial transaction, early detection of financial risks can effectively reduce losses. The combination of big data of financial transactions and SCS and introduction of feature model algorithms enable you to screen out abnormal trading behaviors such as card frauds and manage the risks for improved financial security much sooner than before.
Early detection of potential failures during the operation of industrial equipment can greatly reduce repair costs. With SCS, data can be promptly gathered from equipment sensors for aggregation, analysis and filtering, enabling second-level alarms for equipment exceptions and improving equipment utilization.
In the ecommerce industry, SCS can be used to extract feature variables, track preferential categories and predict spending trends of users in real time to readily provide targeted recommendations for a better shopping experience and more sales revenue.
Stream Compute Service (SCS) is currently free of charge. However, an application is needed to use the service. For more details, please contact our sales team. We will inform all users in advance when we decide to start charging for this service.