Watch videos with subtitles in your language, upload your videos, create your own subtitles! Click here to learn more on "how to Dotsub"

Azure Data Factory Overview

0 (0 Likes / 0 Dislikes)
[female] Today's data landscape for enterprises continues to grow exponentially in volume, variety, and complexity. Data is semi-structured, structured, or cloud-born, and processing includes a combination of open source software, commercial solutions, and custom services that are expensive and hard to integrate and maintain. Data Factory is a fully managed service that allows enterprises to produce trusted data by easily composing, orchestrating, and monitoring diverse data, transformation, and processing services at scale. With Data Factory, you can compose multiple data sources that are on premises and in the cloud into highly available, fault tolerant, and streamlined data pipelines. You can process traditional relational data alongside data of different forms and velocities. For example, you may need to move relational data and make it accessible for Hadoop processing or process unstructured data with Hadoop processing and move the result into a relational data store. Data pipelines operate over the Hadoop ecosystem for transformations with Hive, Pig, and custom code tying together your traditional relational data with unstructured data [Automatic Cluster Management] with features like automatic cluster management, [Retries for Transient Failures] retries for transient failures, [Configurable Timeout Policies] configurable timeout policies, [Alerting] and alerting. Once your data pipelines are up and running, you can monitor them at a glance alongside service health to troubleshoot and identify corrective actions. Finally, consume your trusted information with BI and analytics tools or other applications to derive rich insights. Be confident that your business decisions are informed with up-to-date data. Using Data Factory is easy. Watch how we do it. With a few clicks in the Azure portal or using PowerShell, you can create Data Factories and connect to storage and processing services. Quickly define your data sources, tables, and pipelines with simple JSON scripts. Easily deploy and schedule your pipelines using PowerShell commands. Once your data pipelines are up and running, they can be monitored at a glance from the Azure Portal. See a visual layout of your data lineage, monitor your service health, and troubleshoot errors. Today's changing data landscape makes it hard to integrate and compose services over diverse data. With Azure Data Factory, your enterprise can consume, orchestrate, and transform data across your data landscape into trusted information at the speed of business. [Highly available, Fault tolerant] Reduce operational costs with highly available, fault tolerant data pipelines. Balance the agility of using transformative analytics [Fully managed service] at scale with the controls and benefits of a fully managed service. To learn more about Azure Data Factory, [www.azure.com] visit us at www.azure.com, and find us in the data and analytics feature area. [Microsoft]

Video Details

Duration: 3 minutes and 22 seconds
Country: United States
Language: English
License: All rights reserved
Genre: None
Views: 36
Posted by: duncanma on Mar 1, 2016

----- (Please provide translations for these languages: English (eng).)

Caption and Translate

    Sign In/Register for Dotsub to translate this video.