Streaming Data

AI Data

Data Engineering in the Age of AI: Data Intelligence Platforms

Learn about the Data Intelligence Platform and how Data Engineers benefit in their work from AI infused into every layer of the Databricks Lakehouse. This live demo walks you through the classic data engineering tasks, code generation, fixing, and documentation with the Databricks Assistant, automatic documentation with Unity Catalog, and making use of LLMs such […]

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Databricks

Delta Live Tables with Auto Loader and Hugging Face Sentiment Analysis

Modern data engineering requires more advanced data lifecycle for data ingestion, transformation, and processing. In this session, learn how the Databricks Lakehouse Platform provides an end-to-end data engineering solution — ingestion, processing and scheduling — that automates the complexity of building and maintaining pipelines and running ETL workloads directly on a data lake, so your […]

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CosmosDB

Streaming Data into Azure Cosmos DB with Striim

In this episode, Mark is joined by Edward Bell and Jordan Manthey from Striim who will show how users can migrate data from MongoDB into Azure Cosmos DB’s API for MongoDB. They will walk through the steps so you can get a hands-on look at how to use Striim to migrate data into Azure Cosmos […]

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AWS Databricks

Large Scale Lakehouse Implementation Using Structured Streaming

Business leads, executives, analysts, and data scientists rely on up-to-date information to make business decision, adjust to the market, meet needs of their customers or run effective supply chain operations. Come hear how Asurion used Delta, Structured Streaming, AutoLoader and SQL Analytics to improve production data latency from day-minus-one to near real time Asurion’s technical […]

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