Azure ETL Power BI Tableau 
Data Science Blog
MAY 20, 2024
It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL. Support for Various Data Warehouses and Databases : AnalyticsCreator supports MS SQL Server 2012-2022, Azure SQL Database, Azure Synapse Analytics dedicated, and more. Data Lakes : It supports MS Azure Blob Storage.
ODSC - Open Data Science
APRIL 3, 2023
Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.
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Pickl AI
JULY 25, 2023
They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc. ETL Tools: Apache NiFi, Talend, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.
Pickl AI
APRIL 26, 2024
Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process. The ETL process involves extracting data from source systems, transforming it into a suitable format or structure, and loading it into a data warehouse or target system for analysis and reporting.
ODSC - Open Data Science
APRIL 6, 2023
One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView. These are used to extract, transform, and load (ETL) data between different systems. Each of these creates visualizations and reports based on data stored in a database.
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