Big Data Platform
Big Data Analytics Platform. Build enterprise-grade data platforms that collect, store, and analyze large volumes of data to derive actionable business insights.
Overview
Data-Driven Decision Platform
Collect structured and unstructured data from various sources, store it in a data lake, and build an integrated analytics environment. Ensure data quality and freshness through automated ETL/ELT pipelines.
Support real-time streaming and batch analytics, providing a self-service analytics environment through BI dashboards where executives and business users can intuitively leverage data.
Features
Key Features
Data Collection/ETL
Automatically collect data from various sources including databases, APIs, files, and IoT sensors. Reliably process large-scale data with Apache Kafka and Spark-based ETL pipelines.
Analytics/Visualization
Provide drag-and-drop self-service analytics tools and interactive dashboards. Support various analytical techniques including multidimensional analysis, cohort analysis, and funnel analysis.
Real-time Streaming
Process millions of events per second in real time using Apache Kafka and Flink. Enable immediate data utilization including real-time anomaly detection, trend analysis, and alert notifications.
Data Lake
Build scalable data lakes that unify structured and unstructured data storage. Systematically manage data assets with data catalogs and metadata management.
BI Dashboard
Build purpose-specific dashboards for business KPIs, revenue analysis, and customer analytics. Access data anytime, anywhere with mobile support and automated report generation.
Data Governance
Systematically manage data quality, access control, and data lineage tracking. Ensure compliance with data security regulations through personal data masking and encryption.
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