THE FUTURE OF BIG DATA: SAP DATA HUB ON RED HAT OPENSHIFT

May 7, 2019

Red Hat and SAP® have developed an integrated solution for the interactive analysis of big data. SAP Data Hub is a distributed computing solution that provides actionable business insights from big data. Red Hat® OpenShift® Container Platform delivers an enterprise Kubernetes environment for deploying and managing container-based workloads like SAP Data Hub. SAP Data Hub helps companies orchestrate data of any volume, velocity, and variety. As a result, companies can progress toward an integrated big data landscape founded on an enterprise hub for all types of data including streaming, Apache Hadoop, transactional, Internet of Things  and location data. SUPPORTING THE FUTURE OF BIG DATA SAP DATA HUB SAP Data Hub provides an integration layer for data-driven processes across enterprise services to process and orchestrate data in the overall landscape for all user groups IT, business analysts, data scientists, data engineering, and data stewards. It integrates and prepares data within a digital landscape to inform business decisions. It offers an open, big data architecture with open source integration, cloud deployments, and third-party interfaces. It uses massive distributed processing and serverless computing capabilities to deliver increased performance. With SAP Data Hub, you can easily package analysis from disparate data types with a common SQL interface, easy-to-use modeling tools, and extension of Apache Spark to include SAP HANA® platform access. As a result, you can gain insight based on relevant information from across your data environment.

Spotlight

Big Cloud Analytics, Inc.

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Spotlight

Big Cloud Analytics, Inc.

Big Cloud Analytics, Inc. (BCA) is a global data science company and a leader in delivering analytics software solutions associated with wearable devices. Supporting insurance, healthcare and companies, BCA’s end-to-end solution includes wearable and other devices, algorithms for real-time predictive analytics, wellness scoring, bio-identification and end-user and administrative dashboards.

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