Smart Sea Tide
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Smart Sea Tide

Sharing cutting‑edge big data and AI technologies, with occasional lifestyle insights.

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Smart Sea Tide
Smart Sea Tide
Dec 5, 2025 · Big Data

Understanding Data Lineage: Concepts, Characteristics, and Practical Collection Methods

The article explains data lineage as the full‑lifecycle relationships between data objects, outlines its ownership, multi‑source, traceability, and hierarchical traits, illustrates with school and banking examples, and details why lineage is crucial for compliance, impact analysis, security, migration, and self‑service, while reviewing collection techniques.

Data LifecycleETLbig data
0 likes · 11 min read
Understanding Data Lineage: Concepts, Characteristics, and Practical Collection Methods
Smart Sea Tide
Smart Sea Tide
Nov 28, 2025 · Big Data

A Comprehensive Panorama of Data Modeling for Big Data Systems

The article explains why structured data modeling is essential for large‑scale systems, compares OLTP and OLAP approaches, details ER, dimensional, Data Vault and Anchor methodologies, and walks through Alibaba's multi‑stage data‑modeling practice, including OneData implementation, dimension design, fact‑table types, and aggregation strategies.

AlibabaOneDatabig data
0 likes · 54 min read
A Comprehensive Panorama of Data Modeling for Big Data Systems
Smart Sea Tide
Smart Sea Tide
Nov 21, 2025 · Big Data

How to Build a Practical Big Data Platform to Bridge Data Gaps

The article explains why enterprises need a well‑designed data architecture, describes the pain points caused by missing capabilities, and outlines a big‑data platform construction plan that helps businesses treat data as a valuable asset and improve sharing and utilization.

Data PlatformEnterprise Databig data
0 likes · 2 min read
How to Build a Practical Big Data Platform to Bridge Data Gaps
Smart Sea Tide
Smart Sea Tide
Nov 17, 2025 · Big Data

5 Streaming ETL Patterns Using SQL

This article explains five streaming ETL patterns—filter, route, transform (extract, normalize, anonymize), aggregate, and trigger—showing how each can be implemented with SQL statements and illustrating their use cases with concrete code examples.

Data PipelineETLSQL
0 likes · 8 min read
5 Streaming ETL Patterns Using SQL
Smart Sea Tide
Smart Sea Tide
Nov 10, 2025 · Industry Insights

DeepSeek Researcher Predicts AI Will Replace Most Jobs Within 10–20 Years

At the World Internet Conference in Wuzhen, DeepSeek senior researcher Chen Deli warned that AI will replace the majority of human jobs within the next 10 to 20 years, outlining a three‑stage timeline and emphasizing that this shift marks a fundamental change from tools to intelligent agents.

AIDeepSeekemployment impact
0 likes · 2 min read
DeepSeek Researcher Predicts AI Will Replace Most Jobs Within 10–20 Years
Smart Sea Tide
Smart Sea Tide
Nov 4, 2025 · Big Data

Implementing an Integrated Data Lake and Lakehouse Architecture with Apache Iceberg and Flink

The article explains the concepts of data lakes and lakehouses, compares them with traditional data warehouses, outlines the reliability, performance, and security challenges of data lakes, and then details a practical lakehouse implementation using Apache Iceberg, Flink SQL, CDC pipelines, and supporting tools such as Hive Metastore and Trino.

Apache IcebergCDCFlink
0 likes · 18 min read
Implementing an Integrated Data Lake and Lakehouse Architecture with Apache Iceberg and Flink
Smart Sea Tide
Smart Sea Tide
Oct 31, 2025 · Big Data

Practical Guide to Building a Data Warehouse Metric System

The article analyzes common pain points in data‑warehouse metric management from business, technical, and product perspectives, outlines unified goals, defines a comprehensive model—including data domains, dimensions, atomic, derived, and composite metrics—and presents a step‑by‑step process for designing, implementing, and governing a scalable metric system.

Business AnalyticsDWM layerdata modeling
0 likes · 13 min read
Practical Guide to Building a Data Warehouse Metric System
Smart Sea Tide
Smart Sea Tide
Oct 29, 2025 · Big Data

Understanding Flink’s Network Flow Control and Backpressure Mechanisms

This article explains the fundamentals of network flow control, compares TCP‑based and credit‑based backpressure in Flink, walks through buffer pool interactions, and shows why dynamic backpressure cannot fully replace static rate limiting in real‑world streaming pipelines.

Buffer ManagementCredit-basedFlink
0 likes · 15 min read
Understanding Flink’s Network Flow Control and Backpressure Mechanisms