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Real-Time Analytics

Designing a Retail Data Pipeline for Real-Time Analytics with Alibaba Cloud

This article presents a practical approach to building a retail data analytics pipeline using Alibaba Cloud services.

From "Static Dashboards" to "Decision Engine": Why Your Data Analytics Platform Needs a Professional Upgrade?

This article introduces Quick BI Enterprise Standard Version's evolution from static dashboards to an intelligent, closed-loop decision-making engine.

The Enterprise RAG Architecture Guide: Building Production-Grade Retrieval-Augmented Generation Systems

Hologres simplifies enterprise RAG by unifying OLAP, vector, and full-text search, enabling scalable hybrid retrieval, real-time updates, lower costs, and easier production deployment.

Unified Cross-cloud Logging: Intelligently Importing S3 Data into SLS

This article introduces an intelligent, elastic solution for reliably and efficiently importing diverse S3 log data into Alibaba Cloud’s SLS across multicloud environments.

What’s a Vector Database, Really? And Why Your AI Stack Might Be Overcomplicated

Vector databases enable semantic search via embeddings, but a separate vector DB plus OLAP complicates hybrid queries.

Apache Fluss vs. Apache Paimon: Two Engines for the Real-Time Lakehouse

Apache Fluss and Paimon:Fluss delivers sub-second real-time data for Flink (reducing state bloat); Paimon is a streaming lakehouse format with ACID and minute-level latency.

The Delta Join in Apache Flink: Architectural Decoupling for Hyper-Scale Stream Processing

Discover how Delta Join in Apache Flink revolutionizes stream processing, reducing state and costs while boosting performance and stability.

Introducing Fluss: Streaming Storage for Real-Time Analytics

Today, we are excited to introduce Fluss, a cutting-edge streaming storage system designed to power real-time analytics.

Apache Flink FLIP-15: Smart Stream Iterations & Optimization

Learn Apache Flink FLIP-15 smart iterations with StreamScope and intelligent termination. Master backpressure optimization, deadlock prevention, and advanced loop processing for real-time analytics.

Flink State Management: A Journey from Core Primitives to Next-Generation Incremental Computation

Explore Flink 2.0's evolution in state management, from core primitives to cloud-native architecture and next-gen incremental computation.

Accelerate Data Ingestion in Real-time Lakehouse with Apache Flink CDC

Learn how Apache Flink CDC accelerates real-time data ingestion in modern lakehouse architectures, enabling seamless and efficient data processing.

Apache Paimon: Real-Time Lake Storage with Iceberg Compatibility 2025

Discover Apache Paimon: real-time lake storage with Iceberg compatibility, optimized for streaming and multimodal AI applications.

From Data Streams to Actionable Insights: Grab's Journey with Apache Flink in Real-Time Analytics and Data Quality

Discover how Grab leverages Apache Flink for real-time analytics and data quality, transforming raw data into actionable insights.

Apache Flink FLIP-13: Side Outputs for Multi-Stream Processing

Master Apache Flink FLIP-13 side outputs for flexible data processing. Handle corrupted data, late arrivals, and multi-stream routing with OutputTag and CollectorWrapper patterns.

Apache Flink FLIP-14: CrossGroup Operator for Graph Processing

Discover Apache Flink FLIP-14 CrossGroup operator for efficient data pairing and graph analysis. Optimize memory usage, reduce Cartesian products, and enhance social network processing.

Building an Efficient Product Selection Platform for Lazada: A Real-Time Analytics Journey with Apache Flink and Hologres

Discover how Lazada Group built a large-scale e-commerce product selection platform using Apache Flink and Hologres for real-time analytics and stream processing.

Building a Real-Time Advertising Lakehouse: Alibaba Mama's Practice with Flink & Paimon

We will first introduce the business background of Alibaba Mama's advertising platform, then explore the design and evolution of its real-time advertising system and data lake architecture.

Streaming Data Integration from MySQL to Kafka using Flink CDC YAML

Build real-time MySQL-to-Kafka data pipelines using Flink CDC YAML without coding. Complete tutorial with whole database sync and schema changes.

Flink SQL 101: Embrace Unified Stream and Batch Processing

Master Flink SQL fundamentals with Stream-Table Duality, event time, and watermarks. Build unified stream-batch processing pipelines for modern data engineering.

vivo's Lakehouse Integration Practice Based on Paimon

Discover vivo's real-world Lakehouse integration using Apache Paimon. Learn architecture design, performance optimization, and unified stream-batch processing.