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RESEARCH & RESOURCES

TDWI Playbooks


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TDWI Playbook | Five Critical Plays for Democratizing Analytics

April 20, 2023

This Playbook shows five ways your organization can improve access to analytics with democratized data.


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TDWI Playbook | Future-Proofing Your Data Pipeline

March 17, 2023

This playbook discusses what a data pipeline is and why it is important.


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TDWI Playbook | Closing the Data Science Talent Gap with the Power of Code

March 8, 2023

Download this TDWI Playbook to learn how you can successfully scale your advanced analytics with code-first data science.


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TDWI Playbook | Search at Scale: Using Modern Search Engines for Applications, Observability, and Analytics

November 18, 2022

This TDWI Playbook will examine the business drivers behind growth in the use of search engines and the need for scalable and integrated capabilities.


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TDWI Playbook | Performance Monitoring and Observability

November 15, 2022

This playbook describes the business case for implementing enterprise-wide observability and best practices for getting started.


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TDWI Playbook | Serverless for Big Data Applications: Get Over Infrastructure Pains

November 10, 2022

In this Playbook, TDWI discusses the business case and drivers for adoption of serverless platforms for enterprise big data applications and modernization.


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TDWI Playbook | Empowering Self-Service Users with Serverless Cloud Data Warehousing

November 9, 2022

This TDWI Playbook discusses how serverless cloud data warehousing removes barriers to self-service data interaction while increasing trust in shared, governed data.


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TDWI Playbook | How Streaming Data Analytics Enables Real-Time Decisions

October 31, 2022

This playbook discusses the drivers and business case for streaming analytics and how streaming data can enable real-time decisions.


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TDWI Playbook | Modernizing Data Pipelines

October 27, 2022

This TDWI Playbook focuses on solving data pipeline challenges so you can grow your organization’s data infrastructure with confidence and future-proof it to handle new data and use cases.


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