Lakehouse — Entidade

olake.io·há 5 dias

BigLake's Iceberg REST Catalog: What Changed and How OLake Go Writes Into It

A hands-on guide to writing Apache Iceberg tables into Google BigLake with OLake Go: GCP prerequisites, REST catalog configuration field-by-field, and the failure modes to watch for.

hudi.apache.org·há 12 dias

Apache Hudi vs Apache Iceberg for CDC Workloads | Apache Hudi

Hudi vs Iceberg for CDC: how each handles record lookups, deletes, small files, ordering and change streams — and a framework for choosing between them.

olake.io·há 28 dias

How OLake Handles Schema Evolution Without Breaking Your Pipeline

How OLake handles schema evolution into Apache Iceberg: automatic column adds, retained drops, safe type promotions, and explicit failures only where data would corrupt. Built on Iceberg's field-ID tr

doris.apache.org·há cerca de 1 mês

DBeaver - Apache Doris

Connect DBeaver to Apache Doris with the Apache Doris or MySQL driver, browse internal and external catalogs, and run SQL queries.

hudi.apache.org·há cerca de 1 mês

What is Incremental ETL on a Data Lake? | Apache Hudi

Incremental ETL processes only changed data instead of recomputing entire tables. Learn how it works on a data lake and how Apache Hudi enables it.

olake.io·há cerca de 1 mês

How OLake Guarantees Exactly-Once Delivery to Apache Iceberg

How OLake guarantees exactly-once delivery into Apache Iceberg across Full Refresh, Incremental, and CDC syncs using atomic commits and checkpoint recovery. No duplicates, no data loss, no external co

seatunnel.apache.org·há cerca de 1 mês

From Modern Data Stack to Agentic Data Stack: Why Apache SeaTunnel Matters as the Data Integration Runtime

Over the past decade, the Modern Data Stack has changed how teams build data platforms. Data ingestion, lakehouses or cloud warehouses, dbt, orchestration, metrics layers, BI, and governance were spli

hudi.apache.org·há cerca de 1 mês

Bringing Vector Search to the Lakehouse with Apache Hudi

AI applications increasingly need to search data by meaning, not just by exact fields or keywords. Product descriptions, support tickets, documents, images, and other unstructured data are becoming fi