KDnuggets

JUNE 19, 2025

Python works best for: Exploratory data analysis and prototyping Machine learning model development Complex ETL with business logic Statistical analysis and research Data visualization and reporting Go: Built for Scale and Speed Go takes a different approach to data processing, focusing on performance and reliability from the start.

Python 240

Python Natural Language Processing Data Science Machine Learning 240

phData

NOVEMBER 9, 2023

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

IBM Journey to AI blog

JULY 1, 2024

If you say “manual stitching” among data professionals, everyone cringes and runs. In her book, Data lineage from a business perspective , Dr. Irina Steenbeek introduces the concept of descriptive lineage as “a method to record metadata-based data lineage manually in a repository.”

ETL 40

ETL Data Lakes Database Data Pipeline 40

phData

FEBRUARY 14, 2023

Tips When Considering Streamsets Data Collector: As a Snowflake partner, Streamsets includes very intricate documentation on using Data Collector with Snowflake, including this book you can read here. Data Collector can use Snowflake’s native Snowpipe in its pipelines.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

phData

SEPTEMBER 27, 2024

Activity Schema Modeling: Capturing the Customer Journey in Action Now that we’ve got our Lego blocks of customer data, let’s talk about another game-changing approach that’s shaking up the world of customer data modeling: Activity Schema Modeling. These changes are streamed into Iceberg tables in your data lake.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52