Видео ютуба по тегу Database Schema Evolution

How Does Schema Evolution Work In Wide-Column Stores?
How Does Schema Evolution Work In Wide-Column Stores?
Data Renegades - Ep. #4, Streaming Made Practical with Micah Wylde
Data Renegades - Ep. #4, Streaming Made Practical with Micah Wylde
Databricks: Data Ingestion with CREATE TABLE AS (CTAS) and COPY INTO
Databricks: Data Ingestion with CREATE TABLE AS (CTAS) and COPY INTO
Data Ingestion with Lakeflow Connect - 01 Introduction to Data Engineering in Databricks
Data Ingestion with Lakeflow Connect - 01 Introduction to Data Engineering in Databricks
AI-Assisted Schema Evolution for Backward Compatibility in Rapidly Changing APIs
AI-Assisted Schema Evolution for Backward Compatibility in Rapidly Changing APIs
AWS re:Invent 2025 - Inside S3: Lessons from exabyte-scale data lake modernization (STG351)
AWS re:Invent 2025 - Inside S3: Lessons from exabyte-scale data lake modernization (STG351)
Key Differences: Software vs. Data Pipelines #ai #artificialintelligence #machinelearning #aiagent
Key Differences: Software vs. Data Pipelines #ai #artificialintelligence #machinelearning #aiagent
Unlock Data Secrets: Capture Every Transaction with History Mode! #shorts
Unlock Data Secrets: Capture Every Transaction with History Mode! #shorts
From Storage Formats to Open Governance: The Evolution to Apache Polaris (Prashant Singh)
From Storage Formats to Open Governance: The Evolution to Apache Polaris (Prashant Singh)
AEC Data Lakes: Unlocking the Power of Your Project Data
AEC Data Lakes: Unlocking the Power of Your Project Data
Day-62: Working with Avro Files in Databricks | Azure Databricks Training @ DURGASOFT
Day-62: Working with Avro Files in Databricks | Azure Databricks Training @ DURGASOFT
Azure Function Schema Coupling Mistakes Developers Must Fix #Serverless #AzureArchitect #shorts
Azure Function Schema Coupling Mistakes Developers Must Fix #Serverless #AzureArchitect #shorts
Baboon — Automate Schema Evolution & Data Migrations
Baboon — Automate Schema Evolution & Data Migrations
🔥 Fix Py4JJavaError Saving Delta Table in Microsoft Fabric (FAST Fix) #Py4JJavaError #DeltaLake
🔥 Fix Py4JJavaError Saving Delta Table in Microsoft Fabric (FAST Fix) #Py4JJavaError #DeltaLake
What is Delta Lake. Data Lake Vs Delta Lake. Databrick Delta lake #deltalake #datalake #azure #aws
What is Delta Lake. Data Lake Vs Delta Lake. Databrick Delta lake #deltalake #datalake #azure #aws
Руководство для инженеров по данным Databricks: ключевые понятия, которые необходимо знать для ус...
Руководство для инженеров по данным Databricks: ключевые понятия, которые необходимо знать для ус...
Room Database Migrations: Handling Schema Changes Without Data Loss
Room Database Migrations: Handling Schema Changes Without Data Loss
César Enrique Ramírez: Domain modeling for event sourced data [Scala Days 2025]
César Enrique Ramírez: Domain modeling for event sourced data [Scala Days 2025]
What's new in Delta Lake 4.0
What's new in Delta Lake 4.0
Супергерой файловой системы #dataengineering #dataengineers #datascience
Супергерой файловой системы #dataengineering #dataengineers #datascience
SDK.finance Core Application | Part 5: Database Migrations
SDK.finance Core Application | Part 5: Database Migrations
Кодирование, схемы и эволюция данных | Глава 4 – Разработка приложений, интенсивно использующих д...
Кодирование, схемы и эволюция данных | Глава 4 – Разработка приложений, интенсивно использующих д...
Data Ingestion Strategy for Lakehouse: A Whitepaper on Databricks Lakeflow Ingestion
Data Ingestion Strategy for Lakehouse: A Whitepaper on Databricks Lakeflow Ingestion
Day 19: Building a Schema Registry Service for Format Management | SDC-Java #systemdesign #java
Day 19: Building a Schema Registry Service for Format Management | SDC-Java #systemdesign #java
Advancing Data Observability for Enterprise Trust
Advancing Data Observability for Enterprise Trust