A Seismic Shift: The Largest Fintech Migration in History

Sep 5, 2025 By Snowflake Inc. In Snowflake
Learn how PayPal optimized customer experience and exceeded SLAs at scale by modernizing its data infrastructure and analytics. In this session recorded at Summit 2025, you'll discover how the company consolidated disparate data sources into Snowflake, leveraging Iceberg for future platform flexibility, and centralized back-office analytics and ETL processes for efficiency. See how it delivers near real-time insights and reconciliation to clients, architects applications for global scalability, and explores future developments, such as ML for business outcome prediction and generative AI for dynamic network adaptation.
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InsightSoftware

Why Pixel Perfect Reporting Is Critical for Enterprise Operations (And How to Scale It)

Sep 5, 2025 By InsightSoftware In InsightSoftware
After spending hours perfecting your BI dashboard, you export a report only to watch headers shift, page breaks split tables, and logos resize unpredictably. What should take minutes becomes hours of manual reformatting before documents meet compliance standards. This repeats daily across enterprises. Modern BI platforms optimize for responsive dashboards that adapt to screens, but operational documents require absolute precision.
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InsightSoftware

What Informatica ILM Maintenance Mode Means for You

Sep 4, 2025 By InsightSoftware In InsightSoftware
If your organization relies on Informatica’s Information Lifecycle Management (ILM) for business reporting, recent announcements about the platform entering maintenance mode have likely raised important questions about your reporting strategy. Understanding what this transition means and how to protect your critical data access are essential for maintaining business continuity.
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confluent

Cut the Costs of Hosted Apache Kafka With Confluent Cloud's Price Guarantee

Sep 4, 2025 By Premika Srinivasan In Confluent
In today’s cost-conscious climate, every line item on your cloud bill is under the microscope. That makes now the ideal time to rethink your data streaming strategy. For many teams, using a hyperscaler-hosted Apache Kafka service feels like the easy choice—one vendor, one bill, no additional contracts, and minimal setup. It makes sense early on, especially for small-scale projects or basic use cases. But, as your Kafka usage grows and becomes mission-critical, that simplicity comes at a cost.
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confluent

Introducing Apache Kafka 4.1.0: What's New and How to Upgrade

Sep 4, 2025 By Mickael Maison In Confluent
The Apache Kafka community is proud to announce the release of Apache Kafka 4.1.0. This blog post highlights the many new features and improvements included in this release. For a full list of changes, be sure to check the release notes. Queues for Kafka (KIP-932) is now in preview. It's still not ready for production, but you can start evaluating and testing it. See the preview release notes for more details. This release also introduces a new Streams Rebalance Protocol (KIP-1071) in early access.
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ClearML

Powering the Next Generation of AI Agents with ClearML's GenAI App Engine

Sep 4, 2025 By ClearML In ClearML
The era of simple, scripted AI is swiftly fading. We’re now witnessing the dawn of AI Agents: sophisticated, self-governing digital entities that possess the capacity to comprehend their surroundings, navigate intricate problems, and execute purposeful actions. Multi-agent systems take this even further, multiplying these capabilities by enabling teams of AI agents to collaborate, delegate tasks, and solve challenges collectively in ways a single agent cannot achieve alone.
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databox

New Integration: Turn MongoDB Data into Beautiful, Actionable Dashboards with Databox

Sep 4, 2025 By Monise Branca In Databox
MongoDB is one of the most popular databases for modern applications. Its flexible, document-oriented model makes it easy for developers to store and query everything from user activity logs and product usage events to application telemetry. But while MongoDB is great for storing and organizing data, it’s not always easy for business teams to use it to answer questions or track key metrics. The data often lives in a raw format that requires technical skills to interpret.
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