He has led and executed complex full-stack BI solutions (from ETL processes to building DWH and reporting) using Azure technologies, Data Lake, Data Factory, Data Bricks, MS Office 365, Power BI, and ...

11.Use databricks to clean our dataset and get rid of unwanted data columns, NULL records etc. 12.Download the dataset once all data cleaning operation completed and you will find output file in csv ...

While popular and larger platforms, like Tableau, Google Cloud, Oracle, AWS and Azure, offer comprehensive data management services, businesses not already subscribed to these platforms may find ...

Out of all PaaS services, Azure Data Factory is considered to be one of the most important services to be secured. An ADF instance can connect to numerous data sources that might contain sensitive ...

We’ll use Azure Data Factory to illustrate the approach, but the process is similar if you are instead using Synapse Pipelines. For this example, we assume you’re already familiar with Azure Data ...

The second major version of Azure Data Factory, Microsoft's cloud service for ETL (Extract, Transform and Load), data prep and data movement, was released to general availability (GA) about two ...