Skip to main content

Power BI Project Assistance with Direct Query and Calculations

Power BI Project Assistance with Direct Query and Calculations



Client is seeking a skilled Power BI expert to assist with a project involving Direct Query for data retrieval. The ideal candidate will help filter information by categories and perform necessary calculations to generate insightful reports. Familiarity with Power BI's interface and capabilities is essential. If you have experience in transforming raw data into meaningful visualizations and can ensure accuracy in calculations, we want to hear from you. Your expertise will play a crucial role in driving our project forward.


You will be asked to answer the following questions when submitting a proposal:


  1. Describe your recent experience with similar projects

Skills and Expertise


Microsoft Power BI, Data Analysis, Data Modeling, SQL, R, Business Intelligence, Data Visualization, Big Data, Microsoft Power BI, Data Visualization, ETL Pipeline


  • Hours to be determined - Hourly
  • 1 to 3 months - Project Length
  • Intermediate - I am looking for a mix of experience and value
  • $17.00-$50.00 - Hourly
  • Contract-to-hire - This job has the potential to turn into a full-time role

Labels:

Comments

Post a Comment

Popular posts from this blog

Free Udemy Course for PowerBI

Free Udemy Course for PowerBI Get This Course for Free. Create beautiful dashboards instead of boring spreadsheets and slides. Make an involving presentation based on an interactive visual story. Create visualizations without programming skills. Learn some interesting tips for simply working with Power BI. Get this course for free. Basic Data Connection: Students will learn how to connect Power BI to simple data sources, gaining an understanding of basic data import techniques. Introductory Data Cleaning: Learners will be introduced to the Power Query Editor for basic data cleaning tasks, such as removing duplicates and filtering data. Fundamentals of Data Modeling: Participants will learn the basics of creating data models in Power BI, including simple relationships between tables. Basic DAX Formulas and Visualizations: Students will acquire foundational skills in writing simple DAX formulas and creating basic reports. Understanding the overall life cycle of building a Power BI Report...
Post a Comment
Read more

Is Web Scraping Illegal and How Can We Do It?

Is Web Scraping Illegal and How Can We Do It? Web Scraping Course. Web scraping is not illegal by default, but its legality hinges on the method employed and adherence to applicable laws and website terms of service.  Below is a summary of legal considerations and guidelines for responsible web scraping: Legal Considerations: Terms of Service (ToS): Website ToS dictate the permissible use of their content. Some explicitly forbid web scraping, and violation of these terms could lead to legal repercussions. Copyright Law: Website content is often under copyright protection. While raw data and facts are not copyrightable, their creative presentation might be. Unauthorized scraping of significant amounts of such content could constitute copyright infringement. Computer Fraud and Abuse Act (CFAA): In the U.S., the CFAA outlaws unauthorized computer and system access. Scraping in contravention of website ToS may breach this act. Data Protection Laws: Web scraping may fall under data ...
Post a Comment
Read more

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics Azure Data Lake and Power BI provide a powerful combination for businesses to handle and analyze large datasets efficiently. Here’s a step-by-step breakdown of how connecting Power BI to Azure Data Lake helps streamline big data analytics. 1. What is Azure Data Lake? Azure Data Lake is a cloud-based storage solution designed to handle large volumes of structured and unstructured data. It provides highly scalable and cost-effective storage, making it an ideal choice for big data projects, data lakes, and large-scale analytics. 2. Benefits of Connecting Power BI to Azure Data Lake Handling Large Datasets : Power BI’s integration with Azure Data Lake allows users to work with large datasets without needing to import all the data into Power BI. Instead, users can connect and query data directly. Scalable Analytics : Azure Data Lake’s ability to scale horizontally ensures that it can handle growing volumes of data se...
Post a Comment
Read more