Homepage
Open in app
Sign in
Get started
Data Engineering
Streaming Data
Analytics
Event-driven Architecture
Archives
Tagged in
Stream Processing
Tributary Data
This publication covers insightful articles, solution blueprints, opinions, and cutting-edge trends in the fields of data engineering, analytics, and streaming data.
More information
Followers
1K
Elsewhere
More, on Medium
Stream Processing
Dunith Danushka
in
Tributary Data
Nov 20, 2023
Stream Processing Basics — Stateless Operations
A technology-agnostic explanation of stateless…
Read more…
208
Dunith Danushka
in
Tributary Data
Jan 3, 2023
Operational Use case Patterns for Apache Kafka and Flink — Part 1
This is the first post of the series…
Read more…
160
Dunith Danushka
in
Tributary Data
Sep 29, 2022
Comparing Stateful Stream Processing and Streaming Databases
How these two technologies work? how do…
Read more…
230
5 responses
Dunith Danushka
in
Tributary Data
Aug 10, 2022
Building CQRS Views with Debezium, Kafka, Materialize, and Apache Pinot — Part 1
How to build an…
Read more…
195
Dunith Danushka
in
Tributary Data
Aug 10, 2022
Building CQRS Views with Debezium, Kafka, Materialize, and Apache Pinot — Part 2
How to build an…
Read more…
165
2 responses
Dunith Danushka
in
Tributary Data
Jul 26, 2022
CDC-based Upserts with Debezium, Apache Kafka, and Apache Pinot
How to build a streaming data pipeline…
Read more…
286
Dunith Danushka
in
Tributary Data
Apr 19, 2022
Unbundling the Modern Streaming Stack
Why modern streaming stack is replacing the classic streaming…
Read more…
354
5 responses
Dunith Danushka
in
Tributary Data
Oct 10, 2021
Real-Time Streaming for Mortals: How Redpanda and Materialize Making It a Reality
How these two…
Read more…
245
3 responses
Dunith Danushka
in
Tributary Data
Sep 10, 2021
Understanding Materialized Views — Part 2
Leveraging stateful stream processing to maintain…
Read more…
122
1 response
Dunith Danushka
in
Tributary Data
Sep 10, 2021
Understanding Materialized Views — Part 1
Learn the fundamentals of materialized views, how they…
Read more…
297
1 response