Unlocking IoT Potential: Strategic Approaches to Sensors and Communication
Date: Thursday, October 10 2024
Time: 10:00 PM (PST)
Location: Virtual
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Modernize Your Analytics Stack with Microsoft Fabric
Roadmap to migrating from SQL Server, Snowflake, and SSIS to Microsoft Fabric.
Is your current analytics stack slowing you down? Disconnected ETL pipelines, complex SQL logic, and delayed Power BI refreshes are costing you time, money, and insights.
This whitepaper reveals how Microsoft Fabric—deeply integrated with Power BI—enables real-time reporting, simplified governance, and reduced data duplication. Learn how leading enterprises are modernizing from SQL Server, SSIS, and Snowflake using our proven T-SQL to PySpark migration framework.
Inside, you’ll discover:
- How DirectLake eliminates data refresh delays
- Built-in security and lineage with Microsoft Purview
- Real-world migration strategy and code samples
Whether you’re just exploring or already evaluating Microsoft Fabric, this guide gives you a clear roadmap to accelerate your journey.
Download now and future-proof your analytics architecture.
StreamSync AI Observability Ensuring Data Trust and Continuity in the Era of Real-Time Analytics
In today’s complex industrial environments, data isn’t just another IT asset — it’s the lifeblood of your operations. From production schedules built on MES & ERP data, to supply chain orchestration across supplier portals, to SCADA and sensor streams driving real-time decisions — your entire business runs on the assumption that data is current, complete, and accurate.
Whitepaper Insights: Building a Reliable Data Foundation
- Discover how silent data failures are silently disrupting enterprise operations
- Learn how AI-powered observability proactively detects and resolves data issues
- Explore how predictive, self-healing pipelines replace manual monitoring
- Understand how synchronized, reliable data improves uptime and decision-making
- Understand how to achieve real-time data accuracy across SCADA, MES, ERP, and cloud systems
- Learn strategies for maintaining compliance with fully synchronized audit trails
- Discover how to reduce downtime through intelligent, anomaly-driven observability
- Explore methods for boosting operational efficiency with aligned, trustworthy data
- Gain insight into enabling faster, high-confidence decisions with validated, up-to-date inputs
Download the Whitepaper to learn how AI observability prevents data drift, downtime, and compliance risk.