article thumbnail

Power BI Developer Roles and Responsibilities [2023 Updated]

Knowledge Hut

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. A power BI developer has a crucial role in business management. The answer to this is simple.

BI 52
article thumbnail

What is an ETL Pipeline? Types, Benefits, Tools & Use Case

Knowledge Hut

Data validation: Data validation as it goes through the pipeline to ensure it meets the necessary quality standards and is appropriate for the final goal. This may include checking for missing data, incorrect values, and other issues. This will make it easier to identify and resolve any issues that arise.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

In-Demand Business Analyst Career Paths in 2024

Knowledge Hut

Data Business Analyst Experience Data Business Analysts are expected to have a minimum of 2-5 years of experience in business analysis. They should also have a minimum of 2-5 years of experience in data analysis, including the ability to research market trends and determine potential outcomes.

article thumbnail

Should you have an ETL window in your Modern Data Warehouse?

Advancing Analytics: Data Engineering

Ah the ETL (Extract-Transform-Load) Window, the schedule by which the Business Intelligence developer sets their clock, the nail-biting nightly period during which the on-call support hopes their phone won’t ring. It’s a cornerstone of the data warehousing approach… and we shouldn’t have one. There, I said it.

article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big Data Architect Interview Questions and Answers Following are the interview questions for big data architects that will help you ace your next job interview. Explain the data preparation process. Data preparation is one of the essential steps in a big data project. Steps for Data preparation.