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Upside Articles

Executive Q&A: Exploring IoT Security Standards
The ioXt Alliance is developing a new set of security and development standards for a variety of products, from smart homes to mobile apps. What are the benefits of these new standards? We spoke with the ioXt Alliance’s director of operations Grace Burkard to learn more. read now
Executive Q&A: Inside Event-Driven Architectures
What is EDA, what are the benefits and challenges, and what’s driving enterprises to adopt it? We turned to Matthew O’Riordan, CEO and technical co-founder of Ably, for answers. read now
Executive Q&A: Applications of AI and Computer Vision in Retail
Computer vision takes sensor analytics a step further using AI. Rohan Sanil, CEO and co-founder of Deep North, an intelligent video analytics company, explains. read now
Understanding Big Data Source Types Can Improve Your Project Planning
Big data can be divided into four source types. By understanding those types, you can better organize and scope new big data projects. read now
These 3 Trends Will Shape the Data and Analytics Landscape in 2022
Advances in cloud computing, DataOps, edge technologies, and 5G will revolutionize the traditional approach to analytics in 2022. read now
Executive Q&A: The Future of Geospatial Data
How can collecting and using location data help your enterprise? Quadrant CEO Mike Davie tells us about today's use cases and how to prepare for tomorrow. read now

Research & Resources

TDWI Playbook | How Streaming Data Analytics Enables Real-Time Decisions
This playbook discusses the drivers and business case for streaming analytics and how streaming data can enable real-time decisions. read now
Build the Future with Decodable and Stream Processing
What is stream processing and how can developers leverage this technology? read now
DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain
The survey associated with this report focused on identifying the limiting factors slowing down the data supply chain as it relates to the overall DataOps methodology of the organization. read now
TDWI Checklist Report | Data Architecture for IoT Communications and Analytics
This checklist explores eight key suggestions for establishing an effective data architecture for an IoT environment. read now
TDWI Checklist Report | Six Capabilities to Eliminate Data Chaos by Unifying Your Hybrid Data and Analytics Platforms
This checklist guides the reader through creating an end-to-end environment that enables data consumers while effectively guarding against data chaos. read now
TDWI Checklist Report | Five Ways Continuous Intelligence Accelerates Digital Transformation
This TDWI Checklist Report introduces the concept of continuous intelligence and describes its critical capabilities. read now

Webinars

Data Architecture for IoT Communications and Analytics
Executing your IoT vision demands organization and discipline when it comes to data management and oversight, and in this webinar we consider aspects of a data architecture for IoT communications and analytics. February 23, 2021 view now
Gaining Faster Insights From Faster Data
TDWI’s new Best Practices Report examines how organizations can improve practices, strategies, team leadership, and technology use to accelerate speed to insight. The report’s author discusses where organizations are now in reducing latency throughout their data life cycles and how they can improve. January 15, 2020 view now
What’s Ahead in Data Management in 2020?
Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management. December 18, 2019 view now
Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility
Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround. August 22, 2019 view now
Business Innovation with Analytics: Four Technologies That Should be on Your Company’s Radar
Four technologies will help you transform your enterprise using data and analytics: machine learning, natural language processing, IoT, and blockchain. We’ll explain why they’re important for your digital transformation, best practices for getting started, and what’s ahead for each technology. July 30, 2019 view now
Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility
Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround. June 27, 2019 view now