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In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics. December 10, 2018 Read Now
In addition to automation using AI, next-generation data catalogs often contain new features such as crowdsourcing and collaboration. This TDWI Checklist describes five ways modern data catalogs drive business value. December 7, 2018 Read Now
Existing enterprise infrastructures are engineered in a way that complicates some types of data provisioning. In this checklist, we will consider the benefits of a platform-based approach to DataOps that addresses some of these complexities. October 31, 2018 Read Now
This TDWI Checklist Report discusses best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new types of data for analysis. October 26, 2018 Read Now
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TDWI's IoT Data Readiness Assessment is an online questionnaire that asks how prepared your organization is for the Internet of Things, specifically for IoT data. When you complete the questionnaire, the assessment tool immediately shows you scores that quantify your readiness for handling IoT data. It is intended to help you determine where to focus your efforts with IoT. Read Now
The TDWI Advanced Analytics Maturity Model is designed to help assess your current use of advanced analytics and how that compares to others. It provides a framework for companies to understand where they are in the journey, where they’ve been, and what they still need to do to succeed with technologies including predictive analytics and machine learning. Read Now
The TDWI Self-Service Analytics Maturity Model Guide is designed to help you understand the phases of maturity in self-service analytics, interpret your assessment scores, and provide best practices to move you forward. Its insight and advice can help you quickly advance your self-service analytics initiatives to gain more value. Read Now
TDWI's Hadoop Readiness Assessment is an online questionnaire that asks how prepared you and your organization are to get full value from Hadoop. When you complete the questionnaire, the assessment tool immediately shows you scores that quantify your readiness for Hadoop. It is designed to help answer your questions about where to focus your best efforts with Hadoop. Read Now
Time spent cleaning data is eating away at the time available for analysis. What steps can your enterprise take to get analytics back on track? December 20, 2017 Read Now
Read this e-book to find out what it means to be driven by data and what it takes to transition to such a culture. May 1, 2017 Read Now
Download this e-book to learn some key strategies for analytics success in the cloud, as well as an illuminating case study study of the benefits of a hybrid approach from the award-winning AMC Network. October 28, 2016 Read Now
Download this e-book to read articles, opinions, and interviews on data management trends and how enterprises are changing the way they deal with data. September 8, 2016 Read Now
Explore two different aspects of analytics in the cloud: cloud migration challenges and best practices and how Tableau’s visual analytics platform can be integrated with cloud services to provide self-service access to a broad range of reporting and analytics functions. December 12, 2018 View Now
Data is evolving into larger volumes from new sources in a wide array of structures, containers, and interfaces. An expert panel discusses data management trends, including new data platforms (Hadoop, cloud computing, and columnar databases), cloud data management, advancements in data catalogs and metadata, and data governance and stewardship. December 18, 2018 View Now
Learn about key trends in BI and analytics based on research findings in a just-published TDWI Best Practices Report: "BI and Analytics in the Age of AI and Big Data." We'll cover priorities for augmenting BI, analytics, and data preparation with new AI capabilities, in particular to capture value from big data and cloud data systems. January 16, 2019 View Now
Data enables many types of business opportunities unimaginable even a few years ago—from predictive analytics to artificial intelligence to the Internet of Things. There are a variety of tools, platforms, and frameworks now available to enterprises to better manage their data. December 1, 2018 Read Now
We get it—you’re sick of all the manual mapping required to sort out inconsistencies in your data. You’re sick of going in blind to find and fix errors. Most of all, you’re sick of that feeling that you’ve been tasked with MISSION IMPOSSIBLE. November 1, 2018 Read Now
Download this whitepaper and learn how data virtualization facilitates a multipurpose data lake by allowing a broader and greater use of the data lake investment without minimizing the potential value for data science or for making it a less flexible environment. October 1, 2018 Read Now
Today, in a world of AI and machine learning, data has a new role—becoming essentially the source code for machine-driven insight. September 1, 2018 Read Now
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