Wow! Kalian Wajib Tahu Database Ini : ClickHouse

Pernah dengar database yang bisa scan MILIARAN baris data dalam hitungan detik? Namanya ClickHouse — dan kalau kamu kerja dengan data, kamu WAJIB tahu database ini.

Di video ini kita nggak cuma teori. Kita bangun langsung pipeline data
lengkap dari nol: data transaksi dari PostgreSQL mengalir secara real-time
ke ClickHouse, lalu kita eksplorasi kekuatan analitiknya lewat dashboard
demo yang interaktif.

Yang akan kamu pelajari di video ini:

✅ Beda OLTP vs OLAP — kenapa satu database saja tidak cukup
✅ Change Data Capture (CDC) — sinkronisasi data real-time tanpa batch ETL
✅ Debezium — menangkap setiap perubahan dari PostgreSQL
✅ Apache Kafka — message broker sebagai jembatan data
✅ ClickHouse — database OLAP columnar yang super cepat
✅ Fitur-fitur ClickHouse: Streaming analytics, Funnel, Distribution, Pre-Aggregation, sampai Time Travel

Pipeline yang kita bangun:
PostgreSQL (OLTP) → Debezium → Apache Kafka → ClickHouse (OLAP)

ClickHouse bukan pengganti database transaksional — dia pelengkap. Setelah nonton video ini, kamu bakal paham kapan dan kenapa harus pakai database OLAP, dan betapa powerful-nya ClickHouse untuk kebutuhan analytics.

⏱ TIMELINE VIDEO

00:00 - Pendahuluan
01:38 - Masalah OLTP vs OLAP
06:41 - Sinkronisasi CDC
09:23 - Stack Teknologi
11:46 - Debezium Change Data Capture
14:46 - ClickHouse Database OLAP
25:39 - Aplikasi Demo
29:26 - Streaming
36:05 - Funnel
41:11 - Distribution
45:25 - Pre Aggregate
50:05 - Time Travel
54:08 - Penutup

💻 SOURCE CODE

Semua kode demo di video ini open-source. Silakan clone dan jalankan
sendiri — cukup satu perintah dan seluruh stack langsung nyala:

https://github.com/ProgrammerZamanNow/oltp-olap-demo

Teknologi yang dipakai: PostgreSQL, Debezium, Apache Kafka, ClickHouse,
Spring Boot, dan Podman.

Kalau video ini bermanfaat, jangan lupa LIKE, SUBSCRIBE, dan nyalakan
LONCENG biar nggak ketinggalan video berikutnya.

Tulis di kolom komentar — fitur ClickHouse mana yang paling bikin kamu
kaget? 👇

#ClickHouse #Database #OLAP #Debezium #Kafka #PostgreSQL #DataEngineering #ProgrammerZamanNow #BelajarProgramming


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