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

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

Harness skills in Big Data and analytics and gain powerful perspective in the big data realm. Gain a competitive edge and boost your company’s productivity. Get the SBDA Certification!
https://www.facebook.com/DataScienceCouncil/videos/harness-skills-in-bigdata-and-analytics-and-gain-powerful-perspective-in-the-big/299046938471547

Why Big Data Automation is Important for Your Business
Big data automation is gaining traction as industries start capturing more data. Know how data analysts and data scientists can take advantage of automation. https://www.dasca.org/world-of-big-data/article/why-big-data-automation-is-important-for-your-business