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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.

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Streaming Change Data Capture E-Book

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.

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Whitepaper: Real-Time Database Streaming for Kafka

February 13, 2020

Read this whitepaper to learn about the drivers for database streaming for Apache Kafka.

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Data Warehouse Automation in Azure for Dummies Book

February 13, 2020

Find out how a cloud data warehouse in Azure has advantages in cost, time to value, and the ability to work with real-time data across the organization for analytics.

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Eckerson Group Report: Deep Dive Data Warehouse Automation

February 13, 2020

Take a deep dive into data warehouse automation (DWA) to know its history, drivers, and evolving capabilities.

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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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Modernizing Data Architectures for a Digital Age Using Data Virtualization

January 23, 2020

This whitepaper describes how data virtualization can help to modernize an existing data architecture to unlock and exploit all the existing data more quickly.

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