Downloaded 53 times
Uploaded byDataWorks Summit
Accelerating Big Data Insights
This document discusses Dell's solutions for big data and analytics workloads. It describes Dell's portfolio for unstructured analytics including storage, servers, and reference architectures. It also outlines Dell's vision for a unified streaming and batch analytics platform called Project Nautilus that would integrate Isilon storage with real-time stream processing.
More Related Content
Similar to Accelerating Big Data Insights
More from DataWorks Summit
Accelerating Big Data Insights
- 1. 1 Internal Use -Confidential DataWorks Summit Shawn Smith – Big Data Specialist shawn.smith@dell.com Accelerating Big Data Insights Internal Use - Confidential
- 2. Transforming The Business Wehelp organizations reinvent themselves and realize their digital future Digital Transformation Security Transformation Workforce Transformation IT Transformation
- 3. Internal Use -Confidential Dell EMC - Internal Use - Confidential BUSINESS TRANSFORMATION Ready for Whatever Comes Next: AI, Augmented Reality, Machine Learning . . . Emerging Challenges
- 4. Internal Use -Confidential What is Unstructured Data? • 80% + of data created globally is for unstructured data • File data is growing VERY fast. Most customers see 30% to 50% unstructured growth year over year • Dell EMC is #1 in Scale Out File & Object storage according to IDC and Gartner because of SIMPLICITY! • Simple – Single Volume • Efficient – Best Storage Utilization • Scale-Out – Scale and grow without pain • NO MIGRATIONS! 80%
- 5. Internal Use -Confidential Unstructured Data Requires Unconstrained Scale Optimized TCO/ROI Longevity Flash to Cloud Flexibility Enterprise Features Massive Performance SIMPLICITY At Any Scale
- 6. Fraud Detection & Risk Analytics Trading/ Tick Data Analytics IoT Data Driven Business Transformation Unstructured Analytics Use Cases Customer 360 Analytics Enabling enterprises to improve operational efficiencies and monetize new revenue streams
- 7. Internal Use -Confidential Organizations need to deliver analytics on more than just their traditional structured data Evolving spectrum of data analytics Requires infrastructure that enables multiple applications and varied use cases Predictive Analytics Business Intelligence Analytics of Things Cyber security Analytics Real-time Analytics Machine Learning
- 8. Internal Use -Confidential Enables analytics for ALL of your data Dell EMC Unstructured Analytics Portfolio Performance Centric Storage Centric Predictive Analytics Business Intelligence Analytics of Things Cyber security Analytics Real-time Analytics Machine Learning Archive Centric
- 9. Internal Use -Confidential Proven solutions for unstructured analytics Dell EMC Unstructured Analytics Portfolio Solution accelerators Hadoop Ready Bundle QuickStart for Hadoop EDW Optimization Solutions Hadoop Backup Solutions SAS-Grid Solution with Isilon Streaming Analytics Solutions Splunk Ready System
- 10. Right Solution Configurationfor the use case High Performance 100% Compliance to Hadoop features Ability to scale down at cost Oneor more Storage scaling faster than compute Enterprise Grade File Mgmt. Consolidation of IT Workloads Aggregate capacity > 100 TB One or more DataCompute Geo-distributed single namespace 40% to 60% less than public cloud Compute Data Compute + Data Direct Attached Storage SharedStorage ENTERPRISE REQUIREMENTS CONFIGURATIONdrive Performance- centric Storage- centric Archive- centric
- 11. 11 Internal Use -Confidential THE BEDROCK OF THE MODERN DATA CENTER PowerEdge R740xd High performance server Performance and Scale Expanded GPU & storage capacity boost workload performance Innovative Design Up to 24 NVME with up to 18 x 3.5” drives Integrated Security Cyber resilient architecture, security is integrated into full server lifecycle – from design to retirement Intelligent automation New OpenManage™ Enterprise console delivers crystal clear reporting & full lifecycle automation 11
- 12. Market Leader Hadoop SharedStorage Customers running Analytics / Hadoop PBs of Analytics / Hadoop • World’s #1 Courier Company • 3 of the largest telecommunications companies in the Americas • One of the largest online retailer • Multiple leading financial institutions WHO IS USING ISILON FOR ANALYTICS? 385 Isilon Analytics Momentum 21 Industry Verticals
- 13. 13 Internal Use -Confidential Ethernet Job Tracker Task Tracker DataNode 2nd NameNode NameNode Hadoop Architecture - Traditional R (RHIPE) Mahout Hive HBasePIG NameNode Data Node + Compute Node Data Node + Compute Node Data Node + Compute Node Data Node + Compute Node Data Node + Compute Node Data Node + Compute Node
- 14. 14 Internal Use -Confidential Ethernet R (RHIPE) PIG Mahout Hive HBase Job Tracker Task Tracker DataNode Compute Node Compute Node Compute Node Compute NodeCompute Node Compute Node NameNode Hadoop Architecture with Isilon name node name node name node name node datanode
- 15. 15 Internal Use -Confidential ISILON DATA LAKE DATA PROTECTION DATA SECURITY PERFORMANCE MANAGEMENT DATA MANAGEMENT
- 16. 16 Internal Use -Confidential HDFS SMB, NFS, HTTP, FTP, HDFS node info node info node info node info node info node info node info node info node info Node reply Node reply Node reply Node reply Node reply Node reply Node reply Node reply Node reply file file file file file file file file Node reply Node reply Node reply Node replyNFS NFS SMB SMB name node name node name node name node name node name node name node MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce datanodedatanode Isilon OneFS Compute Data 1X HOW IT LOOKS Name node Data Compute
- 17. Workload Consolidation and streaminganalytics / Sharepoint
- 18. Internal Use -Confidential Phased Approach to Hadoop Tiered Storage with Isilon • Hadoop Cluster with DAS for interactive and batch queries • Queriable “active archive” in Isilon / ECS configured as a separate Hadoop cluster • Archival policy implemented using scripts executed manually Phase 0: Archival Cluster • Hot data in Hadoop Cluster with DAS • Cold data in Isilon configured as a HDFS Target • Hive, map-reduce and Spark jobs can run across the 2 clusters • URIs to indicate whether data is in DAS cluster or Isilon Cluster • Tiering policy implemented using scripts executed manually Phase 1: Tiering with Location Aware queries Same as Phase 1, with additional capability : • Data location handled transparently for Hive, map-reduce and Spark jobs : URIs don’t need to indicate whether data is in DAS cluster or Isilon Cluster Phase 2: Tiering with Location transparent queries Same as Phase 2, with additional capability : • Tiering policy implemented using automated data movement mechanisms. Phase 3: Automated tiering
- 19. 19 Internal Use -Confidential It is an ecosystem where sensors, devices and equipment are connected to a network and can transmit and receive data for tracking, analysis and action. Operational Technology Industrial automation Fleet telematics Material handling Information Technology Assets Inventory People IoT It’s not new and not new to Dell. It is the integration and extension of OT and IT technologies that have been round for decades What is the Internet of Things?
- 20. 20 Internal Use -Confidential It’s a great big IoT world out there Smart Connected Business – from gateways to informed decisions Transport Connector Private and public networks10’s of billions of connected things Things Sensors High-performance computer infrastructure Application layer SAP Hana In-Memory database layer Libraries Manufacturing Energy and Natural Resources Transportation Building & Industrial Automation
- 21. 21 Internal Use -Confidential Multiple Partners and Blueprints for OT / IT SAP HANA®Software AG Apama® Dell Edge Gateway 5000 Structured Data Dell EMC Data Center Real-Time Data Unstructured Data Kepware KEPServerEX® VisualizationsStream Analytics Machine LearningReportingAnalyticsProtocol Translation 0 0 1 0 1 1 1 0 0 1 1 0
- 22. Our Vision for Unstructured Storage OBJECT STREAM FILE ISILONECS PROJECTNAUTILUS Software-DefinedIn The CloudCommon ExperienceCommon Hardware
- 23. Internal Use -Confidential Project “Nautilus” Streaming Storage + Analytics EngineProject Nautilus Turbocharge Isilon and ECS for Streaming Batch Storage tier Streaming IoT data
- 24. Today’s IoT Analytics“Accidental Architecture” Batch Real-Time Interactive exploration by Data Scientists Real-time intelligence at the NOC Sensors MirrorMaker DR Site Mobile Devices App Logs Producers Surface / Act
- 25. Internal Use -Confidential Project Nautilus: A Unified Data Pipeline Strongly Consistent Storage Exactly Once Processing Unified Analytics Unified Analytics Real-Time, Batch, Interactive Sensors Mobile Devices App Logs Isilon / ECS Ingest Buffer Pub/Sub Search Persistent Data Structures Pravega Streams Unified Storage Real-time intelligence at the NOC Interactive exploration by Data Scientists Surface / Act Producers
- 26. Internal Use -Confidential Project Nautilus: A Unified Data Pipeline Strongly Consistent Storage Exactly Once Processing Unified Analytics Unified Analytics Real-Time, Batch, Interactive Sensors Mobile Devices App Logs Isilon / ECS Ingest Pub/Sub Search S3 Pravega Streams Unified Storage Real-time intelligence at the NOC Interactive exploration by Data Scientists Surface / Act Producers HDFS NFS SMB
- 27. Internal Use -Confidential pravega.io