Data Management & Governance
Topics
Teradata Provides Smart Context and Spreads to OneLakeTeradata’s September announcements reveal a strategy for remaining relevant as enterprise data spreads across cloud platforms: Bring business understanding and analytical... |
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Dreamforce 2026: Data 360, Tableau, InformaticaDreamforce 2026 exploded with a number of significant announcements. Let’s have a look at the three products related to data and BI: Data 360, Tableau, and Informatica. |
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PostgreSQL – A Database Phoenix StoryBack in November 2025 at Ignite, Microsoft announced “the preview of Azure HorizonDB, a fully managed Postgres-compatible database service.” At Build 2026, Microsoft... |
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AWS Context Turns Enterprise Knowledge Into Reusable Agent IntelligenceAgents struggle when the data they need is scattered across data lakes, warehouses, business applications, and conversations that were never captured. The issue is a model... |
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Esri: The Future of Analytics Is GISEsri’s founder Jack Dangermond claims that the future of analytics is GIS, which can be substantiated by the fact that ultimately we have to manage our sole and finite... |
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Master Data Management Business Needs Assessment ToolUse Info-Tech’s Master Data Management Business Needs Assessment Tool to help you identify and document the various data sources in the organization and determine which... |
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Develop a Master Data Management Practice and Platform – Phases 1-2Approaching MDM with a clear blueprint that provides a step-by-step approach that will aid in the development of your MDM practice and platform. |
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Esri’s Customers Prove CIOs Are Getting Half the Story Without GISEsri’s user conference showed GIS connecting street sweepers, Italian railways, and barley farms to enterprise data. CIOs who leave GIS out of their AI and data strategy... |
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Discover the Enterprise AI Technology Stack Capstone ReportA research report for IT leaders that maps each layer of the enterprise AI stack and frames the vendor decisions ahead. |
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Discover the Enterprise AI Technology StackWhat worked for early AI pilots will not hold up at enterprise scale. Before making long-term decisions, IT leaders, enterprise architects, and AI product owners need a... |
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