Edge computing MOTIVATION CHALLENGES LATENCY TECHNOLOGY BANDWIDTH SCALE

Edge computing MOTIVATION CHALLENGES LATENCY TECHNOLOGY BANDWIDTH SCALE RESILIENCE PEOPLE & EXPERTISE SECURITY PROCESSES & DATA SOVEREIGNTY ENVIRONMENTAL AGGREGAT E INTEROPERABILITY DISTRIBUTE SECURITY . . . COST

Edge tiers Centralize where you can, distribute where you must. SQL Server at every level. Provider/Enterprise Core End-User Premises Edge Provider Edge . . . Core Data Center Regional Provider Data Center Aggregation Edge Provider Access Edge Provider Device Edge Infrastructure Edge “last mile” Device Edge Device or Sensor

Extending the Open Hybrid Cloud Vision with Edge Any workload , any location. footprint DEVICE EDGE APP PHYSICAL VIRTUAL ENTERPRISE EDGE PROVIDER EDGE APP PRIVATE CLOUD PUBLIC CLOUD REGIONAL EDGE NATIONAL CORE

Edge infrastructure topologies Standalone cluster(s) Remote nodes Device edge 100 -1 k’s of sites / 3 -20 nodes per site 1 k-10 k’s of sites / 1 -5 nodes per site 100 k-10 M’s of sites / 1 node per site

Big data intelligence Analyze any type of data, structured, unstructured with the power SQL and Apache Spark™ Removing data silos Analytic s T-SQL Manage both structured and unstructured data AI over all your data Apps SQL Server REST API containers for models Spark SQL Server External Tables container Scalable, shared storage (HDFS) Compute pools and data pools SQL Server ML Services Spark & Spark ML Kubernetes pod Open database connectivit y No. SQL Relational databases HDFS External data sources HDFS Insights across your data estate by combining data from many sources Shared data lake by combining both structured and unstructured data Operationalize your AI models in real time Boost performance with Scale out compute and caching Unified management with a single admin portal and integrated security AI enabled Intelligent apps using containerized ML models built in SQL Server Big Data Cluster

The combination of SQL Server database engine, Spark, and HDFS enable diverse big data scenarios Removing data silos Manage both structured and unstructured data BI Custom apps SQL Server master instance Scale performance with Compute pool Any external data source Poly. Base SQL Compute Node … AI over all your data Analytics Kubernetes Languages App Deploy SQL Compute Node Data lakes with Storage pool Spark SQL Server HDFS 8 Spark SQL Server HDFS … Spark SQL Server HDFS Scale out data mart with Data pool REST API containers for models

Building value by faster application development Cloud-native applications AI & machine learning Analytics Internet of Things Innovation culture Containers, Kubernetes, and hybrid cloud are key ingredients. Open. Shift is the best platform to deliver container-based applications. 9

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