RESEARCH & RESOURCES

Featured White Papers

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


Delphix ebook

Protecting Personal Information Is the Key to Reducing Compliance Risk

March 5, 2020

Download this white paper to discover what data is considered personal information and how to protect it to avoid costly fines and reputation damage.


Delphix cover

Five Steps Towards Achieving Secure Data Flow

March 5, 2020

Resolving the tension between data security and data-driven innovation.


Oracle WP cover

Oracle Analytics

March 2, 2020

By embracing augmented analytics, businesses are able to leverage their data like never before.


Oracle WP cover

Advanced Analytics: The Power of Prediction

March 2, 2020

This paper gives an overview of how Oracle Analytics offers easy access to advanced analytics, providing you powerful new insight into your data.


white paper cover

Streaming Change Data Capture: A Foundation for Modern Data Architectures

February 13, 2020

This e-book serves as a practical guide for any enterprise architect, data manager, CIO, or IT leader seeking to enable modern data lakes, streaming, and cloud architectures with CDC.


GoodData whitepaper cover image

How Delivering Analytics Everywhere Can Be a Game-Changing Move

February 12, 2020

Analytics has been used for decades to help businesses make informed decisions—both strategic and operational—by deriving insights from the data these businesses already collect.


Stream Processing with InfluxDB—An Introduction

January 30, 2020

Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength of stream processing is that it can provide insights faster, often within milliseconds to seconds.


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