Businesses today require a unified & modern approach to data. Data Engineers & Data Scientists should work together to meet data challenges
https://www.facebook.com/DataScienceCouncil/videos/3242101942671075

Data Warehouse Architecture and Design: A Reflective Guide

Data warehousing is a business process of creating and maintaining a data warehouse, which provides decision makers and other stakeholders with a consolidated view of historical data in support of data analysis and reporting. Know more : https://www.dasca.org/world-of-big-data/article/data-warehouse-architecture-and-design-a-reflective-guide

A Beginners Guide to Predictive Analytics: Turning Data Into Insights
In the wide array of data analytics methods and techniques, predictive analytics can help companies in identifying patterns and trends most efficiently, leading the way for data science in the future. https://www.dasca.org/world-of-big-data/article/a-beginners-guide-to-predictive-analytics-turning-data-into-insights

9 Common Mistakes Data Scientists Must Avoid

Here is the list of 9 mistakes data scientists must avoid in their data science projects and get better results by overcoming these common mistakes. https://www.dasca.org/world-of-big-data/article/9-common-mistakes-data-scientists-must-avoid