How AI Native Apps Are Transforming Enterprise: From Generative to Agentic AI

With the rapid evolution from Generative AI to Agentic AI, enterprises face both opportunities and challenges in building AI‑Native applications; this article examines the shift in AI development models, outlines key technical hurdles, and presents architectural and tooling strategies—including Chat BI, LangStudio, and multi‑modal data pipelines—to guide successful AI integration.

AIAgenticChatBI

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How AI Native Apps Are Transforming Enterprise: From Generative to Agentic AI

Tencent Cloud Developer

Mar 1, 2023 · Big Data

We Analysis User Profiling System: Architecture and Technical Implementation

We Analysis, the official data‑analysis platform for WeChat mini‑program providers, delivers a zero‑learning‑curve user‑profiling system that combines basic tag analysis and flexible, rule‑based segmentation, using an ETL pipeline to store pre‑computed data in TDSQL and online bitmap‑optimized queries in ClickHouse with RoaringBitmap, ensuring low‑latency, stable, and comprehensive analytics.

ClickHouseDataPipelineSpark

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We Analysis User Profiling System: Architecture and Technical Implementation

JD Tech

Jan 31, 2023 · Backend Development

Architecture and Configuration Design of the Transaction Fulfillment Order Center

This article details the architecture, data model, configurable workflow, and implementation techniques of JD Tech's Transaction Fulfillment Order Center, illustrating how a modular, high‑throughput backend system supports billions of annual orders across multiple business scenarios through configurable templates, expression engines, and MQ‑driven data flows.

DataPipelineExpressionEngineMQ

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Architecture and Configuration Design of the Transaction Fulfillment Order Center

Top Architect

Jan 7, 2023 · Big Data

Real‑time Data Processing with ElasticSearch, Kibana and Logstash: Installation, CRUD, Bulk Import, and Data Transformation

This tutorial walks through building a real‑time data processing pipeline using ElasticSearch, Kibana and Logstash, covering core concepts such as data volume, velocity, variety and accuracy, detailed installation steps, CRUD operations, bulk data import, Java‑based data conversion, and Logstash pipeline configuration with filters and date parsing.

BulkImportDataPipelineJava

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Real‑time Data Processing with ElasticSearch, Kibana and Logstash: Installation, CRUD, Bulk Import, and Data Transformation

Selected Java Interview Questions

Feb 12, 2022 · Databases

Implementing Daily User Metrics (DNU, DAU, Retention) with Shell Scripts and MySQL Partitioned Tables

This guide explains how to collect, store, clean, and aggregate daily user metrics—including new users, active users, and multi‑day retention—using shell scripts, cron jobs, MySQL partitioned tables, and stored procedures, suitable for small‑to‑medium sized products.

DataPipelineSQLShell

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Implementing Daily User Metrics (DNU, DAU, Retention) with Shell Scripts and MySQL Partitioned Tables

Big Data Technology & Architecture

Jul 8, 2021 · Big Data

Using Flink CDC to Write Data into Apache Hudi and Query with Hive and Spark SQL

This guide walks through preparing the environment, creating a MySQL source table, configuring Flink CDC to ingest data into an Apache Hudi table, and then querying the Hudi data using both Hive and Spark‑SQL, including handling of partitions, realtime input formats, and required configuration settings.

CDCDataPipelineFlink

0 likes · 10 min read

Using Flink CDC to Write Data into Apache Hudi and Query with Hive and Spark SQL