BigInsights on Cloud. Mike Nobles Executive, BigInsights Solution Specialist WW Technical Sales, Cloud Data Services

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1 BigInsights on Cloud Mike Nobles Executive, BigInsights Solution Specialist WW Technical Sales, Cloud Data Services For questions about this presentation contact Mike Nobles at 2015 IBM Corporation

2 Disclaimer Copyright IBM Corporation All rights reserved. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY. WHILE EFFORTS WERE MADE TO VERIFY THE COMPLETENESS AND ACCURACY OF THE INFORMATION CONTAINED IN THIS PRESENTATION, IT IS PROVIDED AS IS WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. IN ADDITION, THIS INFORMATION IS BASED ON IBM'S CURRENT PRODUCT PLANS AND STRATEGY, WHICH ARE SUBJECT TO CHANGE BY IBM WITHOUT NOTICE. IBM SHALL NOT BE RESPONSIBLE FOR ANY DAMAGES ARISING OUT OF THE USE OF, OR OTHERWISE RELATED TO, THIS PRESENTATION OR ANY OTHER DOCUMENTATION. NOTHING CONTAINED IN THIS PRESENTATION IS INTENDED TO, NOR SHALL HAVE THE EFFECT OF, CREATING ANY WARRANTIES OR REPRESENTATIONS FROM IBM (OR ITS SUPPLIERS OR LICENSORS), OR ALTERING THE TERMS AND CONDITIONS OF ANY AGREEMENT OR LICENSE GOVERNING THE USE OF IBM PRODUCTS AND/OR SOFTWARE. IBM's statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM's sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. IBM, the IBM logo, ibm.com, Information Management, DB2, DB2 Connect, DB2 OLAP Server, purescale, System Z, Cognos, soliddb, Informix, Optim, InfoSphere, and z/os are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol ( or ), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at Copyright and trademark information at Other company, product, or service names may be trademarks or service marks of others IBM Corporation

3 Agenda Traditional Deployments and BigInsights on the Cloud Cloud Data Services and Architecture Patterns Hadoop and the Cloud Current IBM Offerings How is IBM Different Demonstration (if time permits) Summary / Next Steps IBM Corporation

4 The 5 Key Areas to Apply Big Data Techniques Big Data Exploration Find, visualize, understand all big data to improve decision making Enhanced 360 o View of the Customer Extend existing customer views (MDM, CRM, etc) by incorporating additional internal and external information sources Security/Intelligence Extension Lower risk, detect fraud and monitor cyber security in real-time Operations Analysis Analyze a variety of machine data for improved business results Data Warehouse Modernization Integrate big data and data warehouse capabilities to increase operational efficiency IBM Corporation

5 IBM Big Data & Analytics All Data IBM Watson Foundations New/Enhanced Applications Information ingestion and operational information zone Real-time analytics zone Exploration, landing and archive zone Information governance zone Enterprise warehouse data mart and analytic appliances zone What action should I take? Decision management What is happening? Discovery and exploration Cognitive Fabric What could happen? Predictive analytics and modeling Why did it happen? Reporting, analysis, content analytics Systems Security Storage On premise, Cloud, As a service IBM Big Data & Analytics Infrastructure IBM Corporation

IBM Big Data Platform Overview Analytic App Layer BI

Applications Industry Applications Predictive

Foundations Visualization & Discovery Application

System Stream Computing Data Warehouse Contextual

6 IBM Big Data Platform Overview Analytic App Layer BI and Reporting Exploration, Visualization Functional Applications Industry Applications Predictive Analytics Content Analytics API API API Watson Foundations Visualization & Discovery Application Development Systems Management Accelerators Hadoop System Stream Computing Data Warehouse Contextual Discovery Information Integration & Governance IBM Corporation

7 Open Source & IBM Leveraging open source innovation Big Data Platform and giving back Committing & contributing Providing innovation jaql PIG ZooKeeper IBM Corporation

8 Big Difference = Schema Relational Schema on Load Data Hadoop Schema on Run Data Hadoop System IBM Corporation

9 Hadoop HDFS and MapReduce Example Hadoop System File File Part 1 File Part 2 File Part 3 File Part 4 H D F S 1 1 LOCAL LOCAL LOCAL LOCAL part1 part2 part3 Reduce H D F S Split Map Shuffle IBM Corporation

10 BigInsights Version 3 Enterprise Edition Components Hadoop System IBM InfoSphere BigInsights Visualization & AD Hoc Analytics BigSheets Dashboards Cognos Applications & Development Eclipse Tooling for MapReduce, Hive, Jaql, Pig, Big SQL, and AQL BigSheets Readers and Custom Macros Text Analytics Extractors Pre-Built Applications Accelerators Resource Management & Administration ZooKeeper Oozie YARN** Console Monitoring Flexible Scheduler Integration Netezza DB2 JDBC Open Source IBM Quick Start Edition IBM Enterprise Edition Advanced Analytics Text Processing Engine and Extractor Library R Big R Real-time BigIndex API Streams High Availability Options Disaster Recovery Options Streams Information Server Waston Explorer Additional Products ** in Beta Data Access Security (and data security) Cognos Pig Flume Big SQL Data Click Kerberos LDAP Guardium Hive Sqoop Compression Jaql Restricted Ports Optim Runtime Data Store File System MapReduce HBase HDFS Adaptive MapReduce GPFS-FPO Governance (data privacy and audit) File Access Cell Access Audit & History Encryption MR Auth Alerts Data Matching Lineage Data Masking Search Lucene/Solr Watson Explorer IBM Corporation

11 Differentiators Within BigInsights Overview New in version 4 Open Data Platform Ambari installer and console New GUI for Text Analytics Machine Learning added to Big R Text Analytics Optimized for efficiency Shared with InfoSphere Streams Visual Explain to assist Developers BigSheets Web-based, Spreadsheet Interface Hive and Big SQL interoperability Plug-in architecture Big SQL ANSI SQL 2011 standard support Comprehensive File Format Support Federation and Cell-level security Cost-based Optimizer and Rewrite Self-tuning Memory Management ESS 4.1 (Elastic Storage Server) Optional, POSIX file system (was GPFS) Hadoop System Big R support for R developers SAS certification SAS Big SQL certification (coming soon) App Store provided Build and Publish Apps Optionally purchase 3 rd -party apps Security Reduce Publicly Open Ports Add SFTP, LDAP, and PAM Guardium Ready (encryption & audit) Optim (data masking) Easier Data Movement Data Click (Data Stage lite, included) Compatibilitiy with DataWorks for cloud Superior Tooling Installation, Development, Administration SQL support second to none IBM Corporation

12 Traditional on-premise Deployment and Cloud Deployment Deployment Options IBM Corporation

13 IBM InfoSphere BigInsights Your choices of infrastructure & deployment models before cloud Intel Servers IBM Power IBM System z IBM Corporation

14 IBM InfoSphere BigInsights Additional choices of infrastructure & deployment models with cloud Intel Servers IBM Power IBM System z On Cloud IBM Corporation

Data Sources Transactional Cloud Data Services Transactional Systems NoSQL Doc Store Landing, Exploration, Archive Reporting, Analytics External-Facing Applications Web or Mobile Systems of

15 Data Sources Transactional Cloud Data Services Transactional Systems NoSQL Doc Store Landing, Exploration, Archive Reporting, Analytics External-Facing Applications Web or Mobile Systems of Engagement Social Application Hosted Data Services Data Movement and Refinement Internal Insight Decision Management User Generated Journal On Premises Real Time Analytics Predictive Analytics Video and Audio Machine / Sensor NoSQL Doc Store Data Warehousing Deep Analytics, Modeling Visualization Reporting Documents Third Party Transactional Systems Landing, Exploration, Archive Reporting, Analytics Discovery Exploration Enterprise Content 15 Information Governance 2015 IBM Corporation

16 Data Sources Transactional Social Application User Generated Journal Video and Audio Machine / Sensor Documents Third Party Cloud Data Services Transactional Systems SQLDB, TimeSeries Managed DBaaS On Premises Data Movement and Refinement DataWorks NoSQL Doc Store Data Warehousing Deep Analytics, Modeling Cloudant Local Transactional Systems NoSQL Doc Store Cloudant Managed DBaaS Hosted Data Services Real Time Analytics DB2 with BLU, PDA, PDOA Landing, Exploration, Archive BigInsights EHaaS Landing, Exploration, Archive Streams Reporting, Analytics dashdb Managed DWaaS DB2, Informix, BigInsights HPaaS, MDM, Streams, Sensemaking, Info Server, Guardium, Optim, ECM PDA Reporting, Analytics DB2, Informix, FileNet BigInsights DB2 with BLU, PDA External-Facing Applications Web or Mobile Systems of Engagement MobileFirst Platform Internal Insight Decision Management SPSS, ODM Predictive Analytics SPSS Visualization Cognos, SPSS, Watson Analytics Reporting Cognos, Watson Analytics Discovery Exploration Watson Explorer Enterprise Content Content Foundation, FileNet, Watson Explorer, Case Manager 16 Information Governance MDM, SenseMaking, Info Server, Guardium, Optim, ECM ILG 2015 IBM Corporation

17 Cloud Data Services and Architecture Patterns Cloud Overview IBM Corporation

SoftLayer Global Footprint Amsterdam London Frankfurt Paris India (Planned) China (Planned) Hong Kong Tokyo Montreal (Planned) Toronto Seattle Chicago Denver New York City San Jose Dallas

18 SoftLayer Global Footprint Amsterdam London Frankfurt Paris India (Planned) China (Planned) Hong Kong Tokyo Montreal (Planned) Toronto Seattle Chicago Denver New York City San Jose Dallas Washington D.C. Los Angeles Atlanta Houston Miami Mexico City Singapore BRAZIL Melbourne Sydney (Planned) DATA CENTER & NETWORK POINT OF PRESENCE NETWORK POINT OF PRESENCE IBM Corporation

Virtualization Virtualization Virtualization Servers Servers Servers Storage Storage Storage Networking

19 Managed by CUSTOMER Applications Data Runtime Managed by CUSTOMER Applications Data Runtime Applications Data Runtime Middleware Middleware Middleware Operating System Operating System Operating System Virtualization Virtualization Virtualization Servers Servers Servers Storage Storage Storage Networking Networking Networking Infrastructure (as a Service) Platform (as a Service) Software (as a Service) IBM Corporation

20 Cloud Data Services Offerings Today, we have three data services offerings available: Cloudant Operational Data Store dashdb Analytic Data Mart BigInsights on Cloud Hadoop in the Cloud Fully managed Database-as-a-Service (DBaaS) on cloud Customer managed on-premises (Local) Massively scalable JSON doc store Data layer for web & mobile applications Data Warehouse-as-a- Service (DWaaS) Rapid deployment of large scale data warehouses Enables scaling of both volume & processing speed Enterprise-Hadoop-as-a- Service (EHaaS) Builds on open source Hadoop capabilities for enterprise deployments Flexible analytical platform for a wide variety and large volume of raw data sets IBM Corporation

21 IBM Cloud Data Services Mixed workloads and data types are knit together with DataWorks for true hybrid services ANALYTICAL TRANSACTIONAL Enterprise Hadoop Bare metal performance Build on reference architecture BigInsights enterprise features UNSTRUCTURED STRUCTURED Cloudant DBaaS Global data distribution Massively scalable Eventually consistent data model Built for mobile, Systems of Engagement DataWorks Data Refinery Services dashdb SQL interface ACID compliance Columnar, in-memory performance BLU augmented with Netezza in-db analytics Built for Systems of Insight SQLDB DB2 for Bluemix SQL interface ACID compliance Same skillset and data formats as on-premises relational databases Built for Systems of Record IBM Corporation

22 IBM Cloud Data Services Mixed workloads and data types are knit together with DataWorks for true hybrid services ANALYTICAL TRANSACTIONAL Enterprise Hadoop Bare metal performance Build on reference architecture BigInsights enterprise features Cloudant DBaaS Global data distribution Massively scalable Eventually consistent data model Built for mobile, Systems of Engagement UNSTRUCTURED STRUCTURED dashdb SQL interface ACID compliance Columnar, in-memory performance BLU augmented with Netezza in-db analytics Built for Systems of Insight SQLDB DB2 for Bluemix SQL interface ACID compliance Same skillset and data formats as on-premises relational databases Built for Systems of Record IBM Corporation

23 Hadoop Challenges in the Cloud Hadoop and the Cloud IBM Corporation

24 Cloud Challenges with Hadoop While virtualized clusters may be adequate for development & testing, dedicated bare-metal infrastructure is best for production Hadoop ill-suited to traditional virtualization & multi-tenant Require a predictable service delivery environment Cannot tolerate noisy neighbors Very large volumes of persistent data Need efficient ways to ingest and process data Requires dedicated network, fast interconnections between clusters Average system utilization can be demanding Requires underlying infrastructure to be sufficiently large & performant Economics & pricing of cloud are different from on-premises IBM Corporation

25 Customer Experiences related to Hadoop & Big Data Limited personnel, skills and data center capacity Many big data initiatives are early stage Fast moving ecosystem Requirements uncertain or evolving quickly Spiky or unknown infrastructure requirements Challenges meeting time-to-market expectations Capacity Demand over time IBM Corporation

26 Current IBM Offerings of Hadoop in the Cloud Current Offerings IBM Corporation

27 IBM Cloud Marketplace: Ground to Cloud in Minutes IBM Corporation

28 IBM Cloud Marketplace: Ground to Cloud in Minutes IBM Corporation

29 Bluemix Big Data Services Powered by BigInsights Powered by BigInsights IBM Corporation

IBM Analytics for Hadoop Service Powered by: BigInsights 3.

com/software/data/infosphere/hadoop/tutorials.

environment BigInsights administrator authority Access to the

30 IBM Analytics for Hadoop Service Powered by: BigInsights 3.0 & Bluemix Get started with Hadoop in minutes Short tutorials with videos Dedicated single node environment BigInsights administrator authority Access to the Web console Secure HTTPS channel powered by SSL certificates Bluemix Single Sign On (SSO) IBM Corporation

31 IBM BigInsights Cloud Deployment Options Prototype, develop, trial Enterprise features: BigSheets, BigSQL Text Analytics HiveQL HttpFS Analytics for Hadoop Trial & prototype platform for developers Available in IBM Bluemix BigInsights for Hadoop Production environment (Enterprise Hadoop as a Service) For POC and production-sized deployments of BigInsights Payment flexibility with subscription-based pricing Scales to meet spikes in demand without on-premise infrastructure Drives enterprise-class, complex analytics on Big Data sets Available via IBM Cloud Marketplace and IBM Bluemix IBM Corporation

32 BigInsights Cloud Offerings Capability Comparison Software Capabilities BigSheets, Hive, BigSQL, HttpFS Pig Scripting (via Pig app) HBase (via BigSQL v1 or Hive) Custom Map Reduce applications Custom BigInsights applications Text Analytics Command Line Access Remote HBase Access Ability to Install (e.g. R) Analytics for Hadoop Free Trial BigInsights for Hadoop EHaaS IBM Corporation

33 Enterprise Capabilities BI on Cloud Enterprise Hadoop as a Service Big Data made easier, faster, richer Analyze petabytes of any kind of data on elastic compute clusters Easy to adopt Provisioned, hosted, and scaled for you BigInsights for Hadoop Application Tooling Toolkits SQL on Hadoop Big SQL optimized ANSI compliant SQL Native Hadoop enriched with: Application tooling Faster performance Visualization tools SQL on Hadoop Built-in R, streaming & text analytics Text analytics Data protection & governance Easy to integrate Connect common 3rd party BI tools Twitter integration DataWorks integration with Cloud Data Services Predictive Modeling Big R scalable data mining Data Exploration BigSheets schema-on-read Twitter Integration Bundled Decahose Service & Tooling Text Analytics Advanced text processing with AQL Security LDAP, Secure cluster Open Source Hadoop Components IBM Corporation

34 Enterprise Capabilities BI on Cloud Enterprise Hadoop as a Service 100% Standard Apache Open-Source Components Oozie Flume BigInsights for Hadoop Application Tooling Toolkits Zookeeper Hive HDFS MapReduce HBase Sqoop Kerberos SQL on Hadoop Big SQL optimized ANSI compliant SQL Predictive Modeling Big R scalable data mining Data Exploration BigSheets schema-on-read Twitter Integration Bundled Decahose Service & Tooling * Version 4 ** Customer Download Avro Pig Solr/Lucene YARN* Spark* R** Text Analytics Advanced text processing with AQL Security LDAP, Secure cluster Open Source Hadoop Components IBM Corporation

35 BigInsights for Hadoop Unique Capabilities Software Capabilities Open Source Hadoop Rich SQL on Hadoop Big SQL Tools for Business Users - BigSheets Advanced Text Analytics In-Hadoop Analytics Rich Developer Tools Comprehensive Suite Other Hadoop Distributions Some capabilities BigInsights IBM Corporation

36 Dedicated Physical Machines for Security, Performance Dedicated and isolated compute and storage environment All machine instances are reserved for the client Each cluster is isolated on a VLAN Only certain ports on the Management nodes are accessible using the public network via authentication When decommissioning machine instances, disks are scrubbed using US Department of Defense approved methods IBM Corporation

37 Server Configurations of EHaaS Workload characteristics by node sizing Small: Basic data extraction, transformation, file processing Medium: Data warehouse augmentation Large: Advanced analytics, intense computation processing Management Nodes Small Medium Large CPU Cores RAM 64 GB 128 GB 192 GB OS Disk 8 TB 8 TB 8 TB Network 10 Gbps 10 Gbps 10 Gbps Compute Nodes Small Medium Large CPU Cores RAM 64 GB 128 GB 192 GB OS Disk 8 TB 8 TB 8 TB Network 10 Gbps 10 Gbps 10 Gbps Data Disk 20 TB 28 TB 40 TB IBM Corporation

38 Server Configurations of EHaaS Additional configuration options (for system administrators): Management Nodes Small Medium Large CPU Cores 16 (2x8-core 2650 v2) 16 (2x8-core 2650 v2) 16 (2x8-core 2690 v2) RAM 64 GB (8x8 GB) 128 GB (8 x 16 GB) 192 GB (12 x 16 GB) OS Disk 8 TB (4x4TB, RAID 10) 8 TB (4x4TB, RAID 10) 8 TB (4x4TB, RAID 10) Network 10 Gbps 10 Gbps 10 Gbps Compute Nodes Small Medium Large CPU Cores 16 (2x8-core 2650 v2) 16 (2x8-core 2650 v2) 16 (2x8-core 2690 v2) RAM 64 GB (8x8 GB) 128 GB (8 x 16 GB) 192 GB (12 x 16 GB) OS Disk 8 TB (4x4TB, RAID 10) 8 TB (4x4TB, RAID 10) 8 TB (4x4TB, RAID 10) Network 10 Gbps 10 Gbps 10 Gbps Data Disk 20 TB (5x4 TB) 28 TB (7x4 TB) 40 TB (10x4 TB) IBM Corporation

39 Server Configuration Example for EHaaS Three server size selection criteria: Workload size Data size High Availability (HA) option The system will suggest the optimal number of data nodes based on the data volume specified Alternatively, adjust the number of nodes to preview total data volume capacity IBM Corporation

40 BigInsights on Cloud Positioning Summary IBM BigInsights for Hadoop Bare-metal reference architecture pre-installed with BigInsights Suitable for production or POC 3 different configurations available to meet demands of different workloads Intended for hybrid Hadoop cloud architectures Complete administrative privileges OPEX model with monthly subscription (vs. CAPEX model) IBM Analytics for Hadoop Demos, trials and to get started Single node VM with 8 cores, 16GB RAM and 20 GB HDFS space Intended for developer audiences Not suitable for production or POC Node configuration cannot be changed, no command line access Freemium offering IBM Corporation

Deployment Options Your Customers May Discover Paid (PaaS) Enterprise Platforms Paid (IaaS) IBM BigInsights for Hadoop SoftLayer EHaaS Enterprise

by Global Technology Services (GTS) Options including Enterprise BigInsights Hadoop Additional provisioning services for Streams and Cognos BI

Private on bare metal SoftLayer Clusters Build and manage your own Free (PaaS) Starter Editions IBM Analytics for Hadoop Free virtualized limited

41 Deployment Options Your Customers May Discover Paid (PaaS) Enterprise Platforms Paid (IaaS) IBM BigInsights for Hadoop SoftLayer EHaaS Enterprise Hadoop as a Service on bare metal SoftLayer Clusters Available on IBM Cloud Marketplace - Provisioned through Bluemix IBM Cloud Analytics Offered by Global Technology Services (GTS) Options including Enterprise BigInsights Hadoop Additional provisioning services for Streams and Cognos BI Additional Management and Cloud Analytic Application Services CloudOne (Vendors) Free Starter as well as High Performance Options Virtualized Private on bare metal SoftLayer Clusters Build and manage your own Free (PaaS) Starter Editions IBM Analytics for Hadoop Free virtualized limited version of BigInsights Provisioned through Bluemix IBM Cloud Analytics Application Services IBM BigInsights QSE (Quick Start Edition) IBM Corporation

42 Customer Example Large insurance company in USA with POC* of BigInsights on Cloud Customer provided non-pii (Personally Identifiable Information) Customer required data to be Around 1 TB total for 3 use cases Transferred to the cloud on an encrypted drive using overnight shipping External drive with a keypad was required from and provided by IBM Wanted to be able to create their own users and test out roles Use cases: 1. How does IBM compare to Cloudera s HUE (Hadoop User Experience) 2. Calculate zip code from Lat/Long GPS data as fast as possible (telematics) 3. Run an R algorithm on a data file larger than total cluster memory IBM successful on all use cases & in negotiations with the customer * Custom POT with customer s data IBM Corporation

43 Demonstration of BigInsights for Hadoop Demo IBM Corporation

44 Demo Overview All Data Analytics for Hadoop Service New/Enhanced Applications Push Local Pull Remote (REST pull) BigInsights Web Console (Files Tab) BigInsights Application (Applications Tab) BigSheets Push Remote using curl BigInsights REST Big SQL Big R IBM Big Data & Analytics Infrastructure IBM Corporation

45 Summarization and Next Steps Summary IBM Corporation

46 Why IBM BigInsights on Cloud? Simplified Provisioning In-Hadoop Analytics Flexible Pricing Model Only 3 inputs to configure an accurate Hadoop cluster Analyze data on the cloud using advanced analytics tools Pay monthly subscription fee as per needs of business IBM Corporation

Offering End-to-End Services for BigInsights on

Hadoop clusters in the cloud Transparent access

Dedicated bare metal physical machines Deploy in

performant, hardware reference architectures Grow

based on business need Access to deep expertise

isolated Encrypted tunnel World-class global

47 Offering End-to-End Services for BigInsights on Cloud Build Manage Support Protect Ready-to-run Hadoop clusters in the cloud Transparent access for users 24x7 cloud operations support team Dedicated bare metal physical machines Deploy in hours rather than weeks Based on proven, performant, hardware reference architectures Grow environment as requirements change Shift workloads based on business need Access to deep expertise Faster time to complete problem resolution Network isolated Encrypted tunnel World-class global network infrastructure End-to-End Hadoop-as-a-Service Offering IBM Corporation

48 Cloud Data Services Summary To review, IBM has three data services offerings available today: Operational Data Store Analytic Data Store Cloudant dashdb BigInsights on Cloud NoSQL Database as a Service Data Warehouse as a Service Enterprise Hadoop as a Service IBM Corporation

49 IBM Corporation

WELCOME TO. Cloud Data Services: The Art of the Possible

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