Data Engineering
Showing 361–372 of 829 results
Implement Azure Synapse Link with Azure Cosmos DB
Azure Synapse Link for Azure Cosmos DB enables HTAP integration between operational data in Azure Cosmos DB and Azure Synapse Analytics runtimes for Spark and SQL.
Implement CI/CD workflows in Azure Databricks
Learn how to implement CI/CD workflows in Azure Databricks to automate the integration and delivery of code changes.
Implement Full-text Search in Couchbase 6
Beyond indexes for keyword searches, Couchbase also offers full-text indexes to search within document text using natural language capabilities. This course gives you a conceptual and hands-on understanding of full-text searches in Couchbase.
Implement LLMOps in Azure Databricks
Streamline the implementation of Large Language Models (LLMs) with LLMOps (LLM Operations) in Azure Databricks. Learn how to deploy and manage LLMs throughout their lifecycle using Azure Databricks.
Implement multi-stage reasoning in Azure Databricks
Multi-stage reasoning systems break down complex problems into multiple stages or steps, with each stage focusing on a specific reasoning task. The output of one stage serves as the input for the next, allowing for a more structured and systematic approach to problem-solving.
Implement Retrieval Augmented Generation (RAG) with Azure Databricks
Retrieval Augmented Generation (RAG) is an advanced technique in natural language processing that enhances the capabilities of generative models by integrating external information retrieval mechanisms. When you use both generative models and retrieval systems, RAG dynamically fetches relevant information from external data sources to augment the generation process, leading to more accurate and contextually relevant outputs.
Implement streaming architecture patterns with Delta Live Tables
You explore different features and tools to help you develop architecture patterns with Azure Databricks Delta Live Tables.
Implementing ADO.NET 4 with C# 8
Learn the most efficient method to access data in your SQL database using ADO.NET. Learn to simplify ADO.NET to just a few lines of code.
Implementing an Event Log with Kafka
Kafka is one of the most widely-used platforms for building resilient and complex modern applications. This course will teach you how to build complex event-driven microservices using Kafka as a backbone of your application.
Implementing ETL Pipelines on the Microsoft SQL Server Platform
This course will teach you how to use the SQL Server database engine and Integration Services (SSIS) to develop, deploy, and monitor an ETL pipeline with the SQL Server data stack for dimension and fact tables.
Implementing NoSQL Databases in Microsoft Azure
Are you passionate about both the Azure cloud and NoSQL databases? If so, this course is meant for you. Quickly get up to speed with Azure Table Storage, Azure Cosmos DB multi-model APIs, and Azure Data Lake Gen2 dedicated to big data analytics.
Importing Common Data File Formats: R 4 Playbook
Whether the common CSV or Excel file, or files from specialized statistical applications, R allows you to import data from a variety of sources. This course will show you how to import data from a variety of formats into R for further analysis.