Ascend.io

AUGUST 31, 2023

Performance: Because the data is transformed and normalized before it is loaded , data warehouse engines can leverage the predefined schema structure to tune the use of compute resources with sophisticated indexing functions, and quickly respond to complex analytical queries from business analysts and reports.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Data Analysis: Perform basic data analysis and calculations using DAX functions under the guidance of senior team members.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Knowledge Hut

OCTOBER 13, 2023

Maintain Clean Reports Power BI report is a detailed summary of the large data set as per the criteria given by the user. They comprise tables, data sets, and data fields in detail, i.e., raw data. A business analyst must be well-versed in the various functions of the Power BI tools.

BI 52

BI Business Analyst Datasets Raw Data 52

dbt Developer Hub

SEPTEMBER 28, 2022

So let’s say that you have a business question, you have the raw data in your data warehouse , and you’ve got dbt up and running. The analyst will try to do as much discovery work up-front as possible, because it’s hard to predict exactly what you’ll find in the raw data. Or are you?

Engineering 52

Engineering Raw Data Datasets BI 52

ProjectPro

NOVEMBER 30, 2021

Now that we have understood how much significant role data plays, it opens the way to a set of more questions like How do we acquire or extract raw data from the source? How do we transform this data to get valuable insights from it? Where do we finally store or load the transformed data?

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

DECEMBER 22, 2016

Common Misspelling and Duplicate entries are a common data quality problem that most of the data analysts face. Having different value representations and misclassified data. 8) What are the important steps in data validation process? Involves analysing raw data from existing datasets.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52