Raysdata: Catalyzing Big Data Revolution in the Energy Sector

Every individual living in modern society needs more energy than ever, and they want it at affordable prices. While the production of continuous power at competitive pricing was a tough ask in the past, big data and analytics innovations have made it possible today. Using big data in the context of power and utility industries gives businesses the ability to regularly process massive amounts (terabytes and petabytes) of operational information to improve their services. Considering the benefits that big data and analytics offer, many energy businesses are stepping their computational competencies up by moving big data to the cloud. Helping energy businesses in this regard and improving their operational competency is Raysdata.

“Our tailor-made big data platform allows energy businesses to store their consumer and operational data in the cloud, access every piece of information at their fingertips, and make better business decisions,” says Alex Chiang, SVP of Raysdata.

Since its establishment in 2014, Raysdata has catalyzed light-speed development in the energy sector by leveraging its in-depth understanding of dual-engine architecture. With its know-how in specialized computation engines and storage representations, the company enables the simultaneous computation of online transaction processing (OLTP) and online analytical processing (OLAP).

Using dual-engine architecture, it has developed full-stack products and solutions with applications throughout the life cycle of a business’s digital transformation.

Notably, Raysdata’s big data analytical platform, Prophet System, is built on the Zeta architecture, a high-level enterprise architectural construct that enables simplified business processes and defines a scalable way to increase the speed of data integration. When Raysdata’s independent intellectual property rights layer with its Prophet System, the platform provides a one-stop big data analysis for enterprises. The Prophet System uses PrestoDB as the SQL engine for faster, distributed query processing and Elasticsearch as its distributed full-text search engine for added speed and scalability. As a real-time and offline analysis engine, it can even integrate Hadoop or Apache Flink with its platform based on clients’ needs. The Prophet System uses a customized Apache Ambari module to manage the life cycle of large data clusters. These capabilities and rich features allow users to comprehensively collect, identify, and store massive datasets within the enterprise.

After data measurement, usually in a cluster environment of 20 nodes, the Prophet System ensures that storage performance exceeds 80,000 extended phase shifts (EPS) and concurrent query surpasses 1,000 traditional phase shifts (TPS). The system’s built-in flexible and efficient data collector quickly facilitates the integration of multiple data sources, supporting complex collection requirements and environments with web-based collector management functionalities. It also provides open and extensible collection frameworks and custom plug-ins to extend the functionality of the big data platform.
With such extensive Big Data capabilities, Raysdata’s clientele includes notable firms like Beijing Gas, China Southern Power Grid, and State Grid, as well as some of the leading banking and healthcare institutions in China. Moving forward, Raysdata plans to nurture its existing client base and grow by enhancing its big data platform and putting its clients at the cutting edge of big data innovation. In the future, Raysdata will seize the opportunities of the evolving big data landscape and catalyze the transformation while using itself as the link that connects high-quality resources of the industry chain.