Spreadsheet Server Demo: Excel-Native Financial Reporting With Live ERP Data

See how Spreadsheet Server transforms financial reporting by connecting live ERP data directly to Excel. Designed specifically for finance professionals, it eliminates manual copy-paste cycles while providing AI-powered insights, operational reporting beyond the General Ledger, and automated report distribution. Create sophisticated, refreshable financial reports using the Excel skills you already have.

Top 15 Oracle Connectors For Enterprise Data Integration

Integrate.io offers comprehensive Oracle database integration capabilities with 200+ pre-built integrations, supporting ETL and ELT patterns with enterprise-grade security and near real-time processing. This guide explores the top 15 Oracle connectors available on the platform, covering scenarios where Oracle serves as both data source and destination for enterprise data workflows.

A Seismic Shift: The Largest Fintech Migration in History

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.

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

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.

What Informatica ILM Maintenance Mode Means for You

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.

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

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.

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

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.

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

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.