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Jan 5, 2024 · Microsoft Fabric covers everything from data movement to data science, real-time analytics, business intelligence, and reporting. Learn how to start a new trial for free! Below is a list of tutorials to help explain and walk through a series of Data Factory concepts and scenarios.
- Overview
- Usage scenarios
- How does it work?
- Top-level concepts
- Related content
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APPLIES TO: Azure Data Factory Azure Synapse Analytics
In the world of big data, raw, unorganized data is often stored in relational, non-relational, and other storage systems. However, on its own, raw data doesn't have the proper context or meaning to provide meaningful insights to analysts, data scientists, or business decision makers.
For example, imagine a gaming company that collects petabytes of game logs that are produced by games in the cloud. The company wants to analyze these logs to gain insights into customer preferences, demographics, and usage behavior. It also wants to identify up-sell and cross-sell opportunities, develop compelling new features, drive business growth, and provide a better experience to its customers.
To analyze these logs, the company needs to use reference data such as customer information, game information, and marketing campaign information that is in an on-premises data store. The company wants to utilize this data from the on-premises data store, combining it with additional log data that it has in a cloud data store.
To extract insights, it hopes to process the joined data by using a Spark cluster in the cloud (Azure HDInsight), and publish the transformed data into a cloud data warehouse such as Azure Synapse Analytics to easily build a report on top of it. They want to automate this workflow, and monitor and manage it on a daily schedule. They also want to execute it when files land in a blob store container.
Azure Data Factory is the platform that solves such data scenarios. It is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores. You can build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.
Data Factory contains a series of interconnected systems that provide a complete end-to-end platform for data engineers.
This visual guide provides a detailed overview of the complete Data Factory architecture:
An Azure subscription might have one or more Azure Data Factory instances (or data factories). Azure Data Factory is composed of the following key components:
•Pipelines
•Activities
•Datasets
•Linked services
•Data Flows
Learn what Azure Data Factory is, how it works, and what features and scenarios it supports. Azure Data Factory is a cloud service for orchestrating and transforming data at scale.
May 15, 2024 · Learn how to create a data factory and a pipeline with one click to copy data from one Azure blob storage to another. Follow the video summary, the step-by-step instructions, and the monitor the pipeline results.
What You’ll Learn:• What is Azure Data Factory• Understanding of Integration Runtimes• How to create linked services• How to create Integration Datasets• Cre...
- 170 min
- 319.9K
- Pragmatic Works
Our curriculum is carefully crafted to provide a holistic understanding of Azure Data Factory's capabilities. From basic concepts such as data movement and transformation to advanced topics like parameterization and monitoring, you'll explore every aspect of the platform in detail.
- (1.8K)
Dec 1, 2019 · In this series, I’m going to cover the fundamentals of Azure Data Factory in casual, bite-sized blog posts that you can read through at your own pace and reference later. You may not be new to ETL, data integration, Azure, or SQL, but we’re going to start completely from scratch when it comes to Azure Data Factory.
Aug 15, 2022 · What is Azure Data Factory? Azure Data Factory is a fully managed and serverless data integration platform in the cloud. An organization can use it to build data-driven workflows for transforming, orchestrating and automating the movement of data between supported data stores.
