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1 BUSINESS DATA LAKE FADI FAKHOURI, SR. SYSTEMS ENGINEER, ISILON SPECIALIST 1

2 UNSTRUCTURED DATA GROWTH 75% 78% 80% EB EB EB Total Capacity Shipped, Worldwide % of Unstructured Data Source: IDC 2

3 SCALE-OUT DATA LAKES MAKE ANALYTICS EFFICIENT A DATA LAKE LETS YOU BRING YOUR ANALYTICS TOOLS TO YOUR DATA. DATA IS SHARED BETWEEN PROJECTS WITH CENTRALIZED CONTROL & STANDARDIZED ANALYTICS TOOLING. Ingest Store Analyze Surface Act Capture data from a wide range of sources, traditional and new. Store everything in one environment for cross data-set analysis. Use advanced algorithms to discover new, predictive patterns. Share insight with business domain experts. Build data-driven applications that meet business needs. 3

4 THE BUSINESS DATA LAKE JOURNEY START STEP 1: STEP 2: STEP 3: STEP 4: STEP 5: DISPARATE DATA SILOS CONSOLIDATE DATA ADD HADOOP IMPLEMENT ANALYTICS INTEGRATE APP DEV BUSINESS DATA LAKE ANALYTIC S APPS TECHNOLOGY EMC BIG DATA STORAGE Install Hadoop (OR multiple distros) Implement Ananlytics (OR ALT. TOOLS) PIVOTAL CLOUD FOUNDRY EMC ENGINEERED SOFTWARE BIG DATA VISION WORKSHOP FAST PROOF OF VALUE CONSULTING TRACK 4

5 ENTERPRISE DATA CENTER ADVANCED SECURITY A UNIQUE FEDERATION OF COMPANIES DELIVERING THE SOFTWARE-DEFINED ENTERPRISE. SOLUTIONS & CHOICE SOFTWARE DEFINED DATA CENTER PLATFORM AS A SERVICE VIRTUAL WORKSPACE BUSINESS DATA LAKE SECURITY ANALYTICS BIG DATA SOLUTIONS PLATFORM AS A SERVICE AGILE APPLICATION DEVELOPMENT ENTERPRISE MOBILITY SOFTWARE-DEFINED DATA CENTER INFORMATION INFRASTRUCTURE CONVERGED INFRASTRUCTURE Partners vcloud Hybrid Service SERVICE PROVIDER 5

6 Data Lake Use Cases Archive/Compliance File Shares and Home directories BLOBS SQL/DB Dumps VMware / Info Archive application retirement Social Media Feeds Hadoop - Bigdata Cloud/Object Unstructured Data/Content EDW ETL Offload VDI Splunk/M2M Log Files Video/Surveillance HPC / Genomic Sequencing Call Centre CVR Mobile Apps Backup Broadcast/Content Streaming 6

7 NEXT-GEN ACCESS METHODS File Shares FILE Analytics FILE HPC Mobile Backup/Archive Cloud Apps 7

8 ISILON DATA LAKE ENTERPRISE GRADE FEATURES EMC ISILON SCALE-OUT NAS DATA PROTECTION S-Series X-Series Isilon Data Lake DATA MANAGEMENT NL-Series HD-Series DATA SECURITY PERFORMANCE MANAGEMENT Copyright EMC Corporation. All rights reserved. 8

9 Capacity 3 RD PLATFORM CLOUD INNOVATION Cloud Cold archive S - Series X - Series NL-Series HD-Series Isilon CloudPools S-Series Performance X-Series Throughput NL-Series Archive HD-Series Deep archive High $/TB Low Copyright EMC Corporation. All rights reserved. 9

10 EXPANDED DATA LAKE FROM EDGE TO CORE TO CLOUD EDGE CORE CLOUD EXPAND DATA LAKE TO THE EDGE AND TO THE CLOUD Copyright EMC Corporation. All rights reserved. 10

11 EMC ISILON BUSINESS MOMENTUM #1 #1 #1 Scale-Out NAS Market Leader Hadoop Shared Storage Data Lake >7000 Customers >2000 >20% Big Data Analytics Customers YoY Growth 11

12 ISILON ONEFS OPERATING SYSTEM Single Volume/ File System Simplicity & Ease of Use High Performance Linear Scalability Unmatched Efficiency Easy Growth 12

13 THE ISILON ADVANTAGE FOR HADOOP SCALE-OUT STORAGE WITH NATIVE HADOOP INTEGRATION In-place analytics Native integration speeds time to insight Enterprise data protection Fast snapshots, backup, and data recovery Simple, efficient data replication for disaster recovery Lower costs Eliminates the need for dedicated Hadoop infrastructure Much more efficient than DAS-based approach Increase flexibility Simultaneous support for any Apache-compliant Hadoop distribution Ambari integration for management, monitoring, and provisioning 13

14 HADOOP ARCHITECTURE DAS VS ISILON Data Node + Compute Node Data Node + Compute Node Data Node + Compute Node Ethernet NameNode Data Node + Compute Node Data Node + Compute Node Data Node + Compute Node Compute Node Compute Node Compute Node Ethernet name node name node name node data node Compute Node Compute Node Compute Node 14

15 Traditional Share-Nothing Hadoop 1 Existing Primary Storage Unstructured Data How Hadoop will you on maintain a Stick (R=3) data consistency means 5 data when copies a file ($$$$) changes on Data your has primary to copy storage? the Hadoop cluster before analysis can begin (Time to Results) Existing Virtualized Data Center SHARE-NOTHING Hadoop Infrastructure 15

16 Isilon Share-Everything Hadoop 1 Existing Primary Storage Use Native HDFS Protocol Unstructured Data Analysis Can Begin with the 1 st VM Start using Hadoop NOW with unused processing and RAM available in your VMware environment No replication required (Use your existing data) Access to same data via NAS and HDFS protocols Existing Virtualized Data Center New Hadoop Compute Nodes Time to results extremely fast using already existing data with NO COPIES or wasted $$$$ 16

17 HADOOP JOB CYCLE TIMES: TIME TO RESULTS Acquire Traditional Hadoop + DAS Workflow Data handling not required on Isilon Original Data Stage Data Ingest Data into HDFS 3x Mirror Map Data Reduce Data Write Results Copy Results View Results Acquire VERSUS Isilon Enabled Hadoop Workflow Reusable and extensible to: Delete data from HDFS Original Data Map Data Reduce Data Write Results View Results 1 17

18 SUPPORT FOR MULTIPLE ANALYTICS APPLICATIONS Node reply NFS SMB NFS SMB NFS SMB, NFS, HTTP, FTP, HDFS name node name node name node name node data node HDFS MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce MAP Reduce 18

19 HADOOP WITH ISILON SCALE-OUT NAS STORAGE 1 Multi Protocol Scale-Out Storage Platform NFS, CIFS, FTP, HTTP, HDFS Highly resilient, Predictable Scalability Distributed NameNode & DataNode Enterprise Data Protection & Governance SnapshotIQ, SyncIQ, SmartLock, ACLs.. Industry-Leading Storage Efficiency >80% Storage Utilization Independent Scalability with Optimized QoS Optimally Scale Storage & Compute Consolidate Data Silos Industry Standard Protocols Bring Applications to Shared Data 19

20 ISILON SCALE-OUT NAS Simple to manage Single file system, single volume, global namespace Massively scalable From 16 TB to over 50 PB in a single cluster, or to Cloud-scale Unmatched efficiency Over 80% storage utilization, automated tiering and SmartDedupe Enterprise data protection Efficient backup and disaster recovery, and N+1 thru N+4 redundancy Robust security and compliance options RBAC, WORM, SEDs, auditing, STIG, FIPS, CAC/PIV Operational flexibility Multi-protocol support as well as Object and OpenStack Swift Deployment flexibility Edge to Core to Cloud 20

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