Grounding Palantir AIP Workflows in the Ontology: Tool Design, Guardrails, and Evaluation Patterns
Migrating Legacy ETL Pipelines to Palantir Foundry: Incremental Processing, Schema Evolution, and Reconciliation Replacing a legacy ETL platform is…
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Announcing det: - Fast, local-first SQL ETL workspace and pipeline orchestration engine
What if you could build complete, production-grade ETL pipelines in Pure SQL… without Jinja templates, without a database server, and without heavy…
Fivetran vs Estuary for Real-Time ETL
Quick answer : Estuary is the better tool for real-time ETL when a consumer needs database changes in seconds: it streams log-based CDC continuously…
Azure Synapse Databricks: A Migration Playbook That Survives Production
Azure Synapse → Databricks: A Migration Playbook That Survives Production A field-style guide for Lead / Senior Data Engineers moving Dedicated SQL…
Под капотом Kafka: путь сообщения от send() до commit offset. Часть 1
Привет, Хабр! Меня зовут Максим Шуматбаев, я инженер технической поддержки в Arenadata. Эта статья — попытка собрать в одном месте внутренние механи…
Understanding Pega's `pzPVStream`: Why a 20-Year-Old Design Still Makes Sense
One of the most misunderstood parts of the Pega Platform is pzPVStream . Newcomers often describe it as a "black box", while experienced architects…
wide CSV 여러 개를 EAV로 모아 gold mart 만들기
wide CSV 여러 개를 EAV로 모아 gold mart 만들기 현실의 데이터 소스는 한 가지 모양으로 오지 않는다. 같은 의미의 값도 어떤 파일에서는 생산수량 , 다른 파일에서는 units , 또 다른 파일에서는 made 로 올 수 있다. 온도도 어떤 곳은 섭씨…
schema drift를 fail이 아니라 warn으로 둔 이유
schema drift를 fail이 아니라 warn으로 둔 이유 데이터 파이프라인에서 source schema가 바뀌는 순간은 애매하다. 무조건 무시하면 운영자는 입력 구조가 바뀐 사실을 모른다. 반대로 모든 schema 변화를 실패로 처리하면, 정상적인 컬럼 추가…
source_hash로 같은 입력 재처리를 안전하게 skip하기
source_hash로 같은 입력 재처리를 안전하게 skip하기 작은 데이터 파이프라인도 한 번만 실행된다고 가정하면 금방 거짓말이 된다. 실제로는 같은 파일을 다시 실행할 수 있다. 실패한 run을 재시도할 수도 있고, 과거 날짜를 backfill할 수도 있고,…
AgTech без хайпа: как мы строим систему, которая доводит агронома от симптома на поле до решения
Автор: Олег Линьков, Webformula ( webformula-agro.ru ) Агросектор — одна из самых недооценённых ниш для прикладного AgTech. Здесь нет хайпа вокруг L…
Автоматизация разработки и деплоя потоков Apache NiFi
Я Игорь Юрченко, backend-разработчик Сбера, в этой статье расскажу о нашем опыте автоматизации деплоя потоков Apache NiFi. Apache NiFi — инструмент…
FIFO на миллионах строк: как подружить бонусы, SQL и асимметричный N×M-граф
Всем привет! Меня зовут Иван Привалов , я разработчик в команде BI Авито Финтеха и в этой статье расскажу, как мы сделали FIFO-сопоставление между N…
From STTM to Snowflake SQL: Building a Metadata-Driven Data Engineering Copilot
Most data engineering teams do not struggle because they lack smart people. They struggle because too much of the delivery process is still repetiti…
Building My First End-to-End ETL Pipeline with Airflow, BigQuery, and Docker
Recently, I completed my first full Data Engineering project: building an end-to-end ETL pipeline using real-world Australian weather data spanning…
Why Metadata-Driven ETL Frameworks Scale Better Than Hardcoded Pipelines — and Where They Don't
Over the years, I've seen many data platforms start with good intentions. A few scripts are created to move data from one system to another, and eve…
A torrent search engine,for actually active torrents!
The core paradox of modern BitTorrent: how do you search without a central index? Searching needs metadata, an address that you can query. BitTorren…
Extract data from Databases into DuckLake
Introduction In the evolving landscape of data engineering, DuckLake is emerging as a powerful solution for building data lakes with ACID transactio…
ETL Pipeline: Fetching Real-Time News Data with Python and Postgres
The best way to actually understand data engineering is to build something that breaks, fix it, and watch it successfully run. In this article, we b…
Replicate MySQL to ClickHouse with Sling
Introduction ClickHouse is a columnar OLAP database. It runs aggregate queries across billions of rows in seconds. MySQL is what most apps run on fo…
Apache SeaTunnel Isn’t a Simple ETL Tool , Understanding Its DataFlow-Driven DAG Engine
In the field of data integration and synchronization, Apache SeaTunnel is undoubtedly one of the hottest tools today. This series will dive deep int…
Load PostgreSQL into Apache Iceberg with Sling
Introduction Apache Iceberg is the table format that turns a pile of Parquet files in object storage into something that behaves like a warehouse ta…