Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Click to learn more about author Wayne Yaddow.

Data Warehouse 52

Data Warehouse ETL Data Governance Data Quality 52

Smart Data Collective

NOVEMBER 18, 2020

Data Mining Techniques and Data Visualization. Data Mining is an important research process. Anyone can become a Data Scientist that use Data Mining. Everything you need is freely available: online courses, books, competitions for practice. Practical experience. Including yourself.

Data Mining 144

Data Mining Data Mining Data Mining Data Science 144

ODSC - Open Data Science

JUNE 12, 2023

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. in an enterprise data warehouse. What is a Datamart?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Flipboard

MAY 30, 2025

For the preceding techniques, the foundation should provide scalable infrastructure for data storage and training, a mechanism to orchestrate tuning and training pipelines, a model registry to centrally register and govern the model, and infrastructure to host the model.

AWS 135

AWS AI AI Database 135

O'Reilly Media

OCTOBER 19, 2021

We need robust versioning for data, models, code, and preferably even the internal state of applications—think Git on steroids to answer inevitable questions: What changed? Adapted from the book Effective Data Science Infrastructure. Data is at the core of any ML project, so data infrastructure is a foundational concern.

ML 145

ML ML Data Scientist AWS 145

phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. dbt has become the standard for modeling.

Data Warehouse 52

Data Warehouse Cloud Data Data Models Data Modeling 52

Pickl AI

JULY 23, 2023

Proper data collection practices are critical to ensure accuracy and reliability. Data Storage After collection, the data needs a secure and accessible storage system. Organizations may use databases, data warehouses, or cloud-based storage solutions depending on the type and volume of data.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52