Tag

modern data stack

1 views collected around this technical thread.

DataFunSummit
DataFunSummit
Feb 9, 2025 · Big Data

Modern Data Stack on Alibaba Cloud Using Flink CDC: Architecture, Features, and Use Cases

This article presents a comprehensive overview of Alibaba Cloud's modern data stack built on Flink CDC, detailing its core concepts, extended capabilities, typical application scenarios, performance optimizations, a live demo, and future development plans for large‑scale streaming data integration.

Alibaba CloudBig DataFlink CDC
0 likes · 13 min read
Modern Data Stack on Alibaba Cloud Using Flink CDC: Architecture, Features, and Use Cases
DataFunSummit
DataFunSummit
Jun 12, 2023 · Big Data

From Data Integration to the Modern Data Stack: Concepts, Tools, and Practices

This article explains data integration fundamentals, compares data integration tools such as Stitch, Fivetran, and Airbyte, describes the concepts of data warehouses and data lakes, outlines ETL vs ELT processes, and explores building modern data stacks with Flink CDC and cloud services.

Big DataELTETL
0 likes · 17 min read
From Data Integration to the Modern Data Stack: Concepts, Tools, and Practices
DataFunTalk
DataFunTalk
Feb 25, 2023 · Big Data

T3 Travel’s Modern Data Stack and Feature Platform: Architecture and Practices

This article details T3 Travel’s exploration of the Modern Data Stack, describing its four‑point overview, business scenarios, the initial MDS implementation using Apache Hudi and Kyuubi, and the design of a feature platform that integrates Metricflow, Feast, and other components to support data processing, analytics, and machine‑learning workflows.

Apache HudiBig DataKyuubi
0 likes · 22 min read
T3 Travel’s Modern Data Stack and Feature Platform: Architecture and Practices
GuanYuan Data Tech Team
GuanYuan Data Tech Team
Feb 16, 2023 · Big Data

How the Modern Data Stack Transforms BI & AI: From Legacy Warehouses to Cloud‑Native Analytics

This article traces the evolution of the modern data stack, explaining the shortcomings of traditional data warehouses, the rise of cloud‑native ELT, self‑service analytics, analytics‑as‑software, and enhanced decision intelligence, while highlighting emerging trends and practical implementations.

BIDataOpsanalytics
0 likes · 15 min read
How the Modern Data Stack Transforms BI & AI: From Legacy Warehouses to Cloud‑Native Analytics
DataFunSummit
DataFunSummit
Dec 31, 2022 · Big Data

The Evolution of Data Platforms: From Early Computing to the Modern Big Data Stack

This article reviews the history of data platforms—from the first general‑purpose computers and early relational databases through traditional BI, agile BI, and big‑data technologies like Hadoop, Spark, and Flink, up to today’s cloud‑native modern data stack and its future outlook.

Big DataData WarehouseFlink
0 likes · 26 min read
The Evolution of Data Platforms: From Early Computing to the Modern Big Data Stack
ByteDance Data Platform
ByteDance Data Platform
Dec 28, 2022 · Big Data

How Cloud Data Warehouses Are Shaping the Future of Big Data and DataOps

This article examines the four‑stage evolution of data warehouses, highlights the cost‑effective, scalable advantages of cloud‑native warehouses, explores the rapid growth of data‑management infrastructure, and discusses the emerging practices of DataOps and AI integration that are redefining modern data stacks.

AIBig DataDataOps
0 likes · 15 min read
How Cloud Data Warehouses Are Shaping the Future of Big Data and DataOps
DataFunTalk
DataFunTalk
Dec 24, 2022 · Big Data

Evolution of Data Platforms: From Early Computers to the Modern Data Stack

This article traces the history of data platforms—from the first general‑purpose computers and traditional BI, through the rise of data warehouses, big‑data frameworks like Hadoop, Spark and Flink, to the modern data‑stack era with cloud‑native architectures, Lambda/Kappa models, and emerging tools—highlighting key technologies, architectural shifts, and future prospects.

Big DataData WarehouseETL
0 likes · 26 min read
Evolution of Data Platforms: From Early Computers to the Modern Data Stack