How to Simplify Your Big Data Analytics Processes with Kylin's Metrics Platform?

1. How to Simplify Your Big Data Analytics Processes with Kylin's Metrics Platform? Big data is a goldmine, but traditional analytics can be complex and time- consuming, making it challenging for organizations to extract meaningful information efficiently. However, businesses can simplify their big data analytics processes and unlock the full potential of their data. Let's explore how it revolutionizes data interpretation. The Power Kylin's Metrics Platform is a game-changer for businesses that rely on big data analytics. It offers a low-code platform that allows organizations to define, collect, and analyse their business metrics effortlessly. With this, businesses can quickly connect their data sources, define relevant business metrics, and uncover hidden insights in just minutes. This platform's standout feature, AI Copilot, empowers organizations to make metrics-driven decisions, leading to improved business outcomes. Streamlining Data Analysis One of the key benefits of Kylin's Platform is its ability to streamline the data analysis process. By providing a unified metrics catalo, organizations can align the definition of their metrics across the entire business, ensuring consistency and accuracy. This unified approach significantly reduces the effort needed to generate metrics, enabling businesses to focus more on how to take action on metrics rather than how to generate them. With such

2. platforms, organizations can eliminate data silos and reduce repetitive data development workloads, resulting in improved analytics efficiency. Unleashing the Potential of Big Data Kylin's Metrics Platform is designed to fully leverage the power of big data. By offering OLAP on data lakes, organizations can simplify multidimensional data analysis and drive better business decisions. Traditional Olap Aws platforms often struggle to handle large datasets, leading to performance issues. However, based on Apache Kylin, provides sub-second standard SQL query responses even on PB-scale datasets. This revolutionary technology allows business users to quickly discover business value in massive amounts of data, ultimately unlocking the full potential of their big data investments. Empowering Business Users with Self-Service Analytics Kylindemocratizes data analytics by empowering non-technical users to become self-sufficient in analysing data. Business users can quickly create different analytics scenarios, gaining a panoramic view of data analytics. This self-service analytics approach improves analytics efficiency, fast-tracks business insights, and enables efficient decision-making. Through this, organizations can bridge the gap between IT and business users, enabling everyone to contribute to and benefit from data analytics initiatives. Integration with Leading Cloud Platforms Kylin seamlessly integrates with leading cloud platforms, such as AWS and Google Cloud Platform. For organizations utilizing AWS big data services, It provides a robust solution for simplifying analytics on the data lake. With its support for AWS, businesses can leverage the scalability and flexibility of cloud infrastructure while enjoying the benefits of Kylin's powerful analytics capabilities. Similarly, for organizations using Google Cloud Platform data lakes, Kylin offers a streamlined and efficient way to perform multidimensional data analysis. The platform's integration with Google Cloud Platform ensures that businesses can harness the full potential of their data and make informed decisions. Unifying Data Analytics with Semantic Data Layer Kylin's Metrics Platformincorporates a semantic data layer that unifies and simplifies data analytics. This semantic layer provides a unified view of data definitions, making it easier for users to access and analyze data. With a

3. semantic layer in place, organizations can eliminate the need for manual data integration and reduce complexity. By abstracting data complexity, businesses can deliver stable, high-performance, and high-concurrency big data services, reducing IT operational and maintenance costs significantly. Accelerating Time to Insight Traditionally, big data analytics processes can be time-consuming, with data preparation and analysis taking up significant resources and effort. By streamlining the data preparation and analysis steps, businesses can significantly reduce the time it takes to generate insights. Furthermore, Kylin offers built-in Tableau Data Model capabilities that enable organizations to create and reuse models and calculations. This feature ensures consistency in analysis and reduces the time spent on repetitive tasks. With faster data modeling and analysis, organizations can expedite the generation of insights, giving them a competitive edge in today's fast-paced business landscape. Conclusion Kylin's Metrics Platformis a game-changer for businesses seeking to simplify their big data analytics processes. By providing a low code, Kylin enables organizations to define, collect, and analyse their business metrics effortlessly. Its powerful features, such as AI Copilot, unified metrics catalo, and support for leading cloud platforms, also empower organizations to unleash the full potential of their big data investments. Are you ready to simplify your big data analytics processes? Click here to explore and revolutionize the way your organization analyzes data.