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. This allows for rapid prototyping of various models.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

KDnuggets

JUNE 6, 2025

As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence. Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. She co-authored the ebook "Maximizing Productivity with ChatGPT".

Python 166

Python Natural Language Processing Data Science Machine Learning 166

ODSC - Open Data Science

JUNE 12, 2023

Microsoft announced the public preview availability of Datamarts in May 2022. The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Section 2: Explanation of the ETL diagram for the project. ETL ARCHITECTURE DIAGRAM ETL stands for Extract, Transform, Load. Figure 3: Car Brand search ETL diagram 2.1.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

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. As you see, there are a number of reporting platforms as expected.

Analytics 52

Analytics Analytics Data Analyst Data Science 52