Data Science Dojo

APRIL 29, 2025

In the world of data, data workflows are essential to providing the ideal insights. Imagine youre the data analyst for a top football club, and after reviewing the performance from the start of the season, you spot a key challenge: the team is creating plenty of chances, but the number of goals does not reflect those opportunities.

Power BI 195

Power BI Analytics Analytics EDA 195

Pickl AI

AUGUST 31, 2023

Accordingly, the need for Data Profiling in ETL becomes important for ensuring higher data quality as per business requirements. The following blog will provide you with complete information and in-depth understanding on what is data profiling and its benefits and the various tools used in the method.

Data Profiling 52

Data Profiling ETL Data Quality Data Wrangling 52

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. This step is important because it’s used to identify any issues or inconsistencies in the data.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Dataconomy

DECEMBER 17, 2024

This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.

Data Quality 91

Data Quality Power BI Data Engineering Data Engineering 91

phData

SEPTEMBER 1, 2023

Thankfully, Sigma Computing and Snowflake Data Cloud provide powerful tools for HCLS companies to address these data analytics challenges head-on. In this blog, we’ll explore 10 pressing data analytics challenges and discuss how Sigma and Snowflake can help.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

IBM Journey to AI blog

JULY 13, 2023

Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its intended use. Data integrity To achieve a high level of data integrity, an organization implements processes, rules and standards that govern how data is collected, stored, accessed, edited and used.

Data Quality 74

Data Quality Data Profiling Data Governance Analytics 74

Alation

MAY 24, 2022

Alation has been leading the evolution of the data catalog to a platform for data intelligence. Higher data intelligence drives higher confidence in everything related to analytics and AI/ML. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98