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Upside Articles

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
How to Address 6 Security Weak Spots in Your IoT Armor
With the number of IoT devices growing by leaps and bounds annually, organizations face ever-evolving threats to their network security. Here are six holes that you can plug now. read now
GDPR in 2021: Key Updates and Implications for Data Strategies
In 2021, the European Commission introduced changes to the GDPR that are intended to further enhance the effectiveness of the law. This article looks at the changes and how they can affect everyday business activities. read now
Executive Q&A: Understanding In-Memory Computing
In-memory computing brings computation together with data, leveraging data-aware execution, data locality and making it possible to dramatically improve performance and scalability for streaming analytics and machine learning. John DesJardins, CTO of Hazelcast, explains. read now

Research & Resources

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
Data-driven DevOps with IBM Virtual Data Pipeline and IBM Cloud Object Storage
Read this ESG Technical Validation report to learn about the cost-effective and time-saving test and development database environments that IBM provides. read now
Best Practices Report | Faster Insights from Faster Data
This TDWI Best Practices Report examines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems. 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