Simple SQL Syntax for Streaming Data Ingestion - Search Videos

Streaming Tables and Materialized Views on Databricks SQL

YouTubeDatabricks

Streaming Tables and Materialized Views on Databricks SQL

In this video, you will learn how to ingest your data using streaming tables and transforming them using materialized views on Databricks SQL. With streaming tables and materialized views, SQL analysts are now empowered to perform data engineering tasks and introduce real-time capabilities within their existing workflow.

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Jump to key moments of Simple SQL Syntax for Streaming Data Ingestion

From 02:12Defining SQL Job Query

Azure Stream Analytics Tutorial | Processing stream data with SQL

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From 00:15What are Streaming Tables?

Streaming Tables and Materialized Views on Databricks SQL

YouTubeDatabricks

From 02:01Starting the Stream and Replicating Data

How to replicate from MySQL to BigQuery with Datastream

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From 00:01Introduction to Data Ingestion

Data Ingestion using COPY INTO

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From 0:00Introduction to Data Ingestion

Data Ingestion using Upload Data UI

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From 04:24Ingestioning Contact Records from Salesforce

Streamline Data Ingestion and Mapping with Data Cloud (Ch. 2)

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From 02:02Creating a Data Producer

Data Engineering project : Real time streaming data ingestion on Azure

From 05:38When to Use Streaming Data?

What is Batch and Real Time Streaming Data Process in DataEngineering

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From 0:00Introduction to IICS Streaming Ingestion

IICS Streaming Ingestion – Overview and Demo

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From 01:31Setting Up Ingestion API

Using Ingestion API to Load Data Into Data Cloud | Data Cloud Decoded

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