In Azure Data Factory (ADF), you can set up email notifications to alert users when certain events occur, such as the success or failure of a pipeline or trigger execution. Here’s how you can implement it: 1. Using Logic Apps...
Read MoreIn Azure Data Factory (ADF), triggers are used to schedule and automate pipeline execution. They allow pipelines to run on specific schedules, in response to events, or when manually invoked. Triggers help orchestrate and manage...
Read MoreTo transfer data from an on-premise system to Databricks, you need to establish secure connectivity between your on-premise infrastructure and the Databricks environment. After setting up the connection, you can use Databricks...
Read MoreIn big data ecosystems like Hive and Apache Spark, partitioning and bucketing are powerful techniques used to organize data for better performance during query execution. While both aim to optimize data access, they work...
Read MoreHere’s a table detailing key components of Data Science and the technologies commonly used: Data Science Component Description Technologies Used Data Collection Gathering raw data from various sources. SQL, MongoDB, APIs, Web...
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