Connected the cleaned data from SQL to Power BI for dynamic reporting. Created relationships between tables in Power BI to enable comprehensive data analysis. Designed an interactive dashboard to visualize key metrics such as project costs, budget variance, and employee details.

Using SQL, the project uncovers insights into energy production patterns, highlighting the shift from traditional to renewable sources and the nations driving clean energy adoption. Analyze the growth of renewable energy production over the past decade. Determine the share of energy sources in total electricity production by country.

Energy Consumption Dashboard in Microsoft Power BI: The project covers step-by-step instructions for data transformation in Power Query, establishing relationships between fact and dimension tables, implementing DAX measures, and creating impactful visualizations.

Feb 8, 2025 · The data contains information on energy usage for each state across all of the main energy sectors. The data covers a full year from November of 2023 through October of 2024. Extract Transform...

SQL (Structured Query Language) is a powerful tool used in Energy and Utility Management for storing, manipulating, and retrieving data from databases. With SQL, users can efficiently manage large volumes of data related to energy consumption, utility usage, and other key metrics.

Data Modeling: AQL Technologies designed a comprehensive data model within Power BI to facilitate meaningful analysis of energy consumption patterns. They structured the model to include relevant dimensions such as time, location, customer type, and energy usage categories.

Apr 15, 2025 · It’s easier to debug SQL queries in their native environment before bringing them into Power BI. Connecting Power BI to Your SQL Database. Now comes the fun part—connecting Power BI to your SQL database. Open Power BI Desktop and start a new report. Navigate to the 'Home' tab and click 'Get Data.' Here, you'll see a list of data sources.

These DSS’s translates big CSV flat files or acquire data in real time from operational Data Bases to update a data warehouse, including importing, evaluating data quality and populating relational tables.

Jul 18, 2024 · In this enlightening advanced-level Power BI project, you'll analyze energy consumption patterns using large datasets from energy companies. You'll apply data cleaning techniques with Power Query, perform complex calculations using DAX, and create interactive visualizations to identify trends, peak usage times, and potential areas for energy ...

Oct 26, 2021 · Later on, I have developed a dimensional model, and created a KPI across various energy sector through DAX. Green Eco-Energy Indicators focused on the following. - Production Variation. - Energy Usage Difference. - Carbon Dioxide Emission. - Renewable Energy. - …