TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Best Practices Report | Driving Digital Transformation Using AI and Machine Learning

September 25, 2019

This TDWI Best Practices Report examines how organizations using AI are making it work. It looks at how those exploring the technology are planning to implement it. Finally, it offers recommendations and best practices for successfully implementing AI in organizations.

TDWI Checklist Report | Six Strategies for Simplifying Hybrid, Multicloud Data Integration

September 12, 2019

This TDWI Checklist discusses why data virtualization is relevant to the challenges of hybrid, multicloud environments.

TDWI Pulse Report | The Modernization of the Data Warehouse

August 30, 2019

This report drills into four critical success factors for the modernization of the data warehouse.

TDWI Checklist Report | Six Strategies for Data-Centric Decision Making

June 24, 2019

This checklist report focuses on six strategic issues that set the stage for greater speed, confidence, and quality in data-driven decision making.

TDWI Checklist Report | Ingestion and Integration for Cloud Data Warehousing

June 20, 2019

To successfully navigate the transition from an on-premises data warehousing solution to one that may span a multicloud hybrid environment, you need a solid plan for ingesting and integrating data for your migrated, modernized cloud-based data warehouse. In this checklist we will examine some of the challenges of data ingestion and integration for cloud-based data warehouses.

TDWI Checklist Report | Five Best Practices for Managing Data in Hybrid Cloud Environments

June 14, 2019

Businesses are using cloud compute and storage services for application development, quality assurance, and analytics for a number of key reasons. This report focuses on best practices for organizations managing data in hybrid cloud environments.

TDWI Pulse Report | Business Innovation with Analytics

June 14, 2019

This TDWI Pulse Report discusses how some of these newer technologies—machine learning (ML), natural language processing (NLP), the Internet of Things (IoT), and blockchain—have the potential to help organizations innovate and digitally transform. It discusses the trends and highlights activities and uses. It also includes best practices for getting started.