Integrate semi-structured IoT events data into Cloud Data Warehouses of choice like Snowflake for Real-time Analytics
Fully Managed Cloud Native Data Platform Solution for your Enterprise Big Data Analytics leveraging Azure or AWS or GCP data cloud stack. It manages complete end-to-end life-cycle — Ingest, Analyze, Store and Visualize — for your Big Data
Cross Cloud Data Catalog providing Discoverability and Access. Get visibility across Hybrid Cloud for your enterprise data
Ingesting variety, velocity and volume of data sources. Multiple Data ingestion methods from On-premise or Edge sources to create S3 compatible Data Lake
Managed Cloud-Native Data Platform Solution for Customer data. It can provide all the necessary building blocks for Cloud-Native Next-Gen Data Platform — Ingestion, Data Quality, Streaming Analytics, Data Lake, Cloud based Data Warehouses, Insights, and Visualizations. It’s meant for Customer data like IoT events, App Clickstream events at big data scale.
Scenario • On-premise Oracle DB captures all the customer data transaction info • This DB also contains customer sensitive data like personal info (PII) • Azure Cloud Data Warehouse selected for batch and real-time analytics for insights Solution • IOPlane™ for Cloud provides real-time resilient big data replication from on-premise Oracle DB to Azure Cloud…
Scenario • On-premise NAS storage filer stores critical media assets like videos and creatives sourced from content providers • OTT Content Ops team use these media assets for production use (Content Programming, Creating Banners/Ads) • Mostly Videos are huge (>1TB) and large in nos on filer (>100TB+) • Google Cloud Platform is selected for protecting…
Scenario • On-premise 100 smart coffee vending devices at distributed locations (to begin with) • Devices registered to communicate with IoT broker • Devices can send messages every 1 minute (100 * 1440 * 30 ~ 4M messages/month) • Coffee Vending devices will scale further • AWS is selected for analyzing IoT events Solution •…
