Taming Structured And Unstructured Data With SAP HANA Running On VCE Vblock Systems
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2 Taming Structured And Unstructured Data With SAP HANA Running On VCE Vblock Systems The Defacto Choice For Convergence 2
3 ABSTRACT & SPEAKER BIO Dealing with enormous data growth is a key challenge for IT organizations today. This is fueled by the explosion of unstructured data from 3rd platform applications such as Big Data, social, mobile, and cloud. IT is rapidly collecting, analyzing, and keeping vast amounts of data for longer periods of time. Managing growth for both structured and unstructured data has led to new approaches that include SAP HANA platform running on converged infrastructures. Businesses that have adopted this approach are reaping a 84% ROI with average 11 payback. Michael La Fauci is a Principal Product Manager at VCE. He is responsible for the SAP Enterprise Hybrid Cloud and SAP Big Data and IoT strategies and solution development.
4 THE AGENDA The Why? Why do SAP shops need to combine the real-time, analytical power of SAP HANA on Vblock with the infinite storage capabilities of Isilon and Hadoop to create new business value for the enterprise The What? Use cases to consider Specifically, the components comprising the SAP Big Data Lake Vblock Solution The How? How do you seamlessly tie together SAP HANA with Hadoop to create the SAP Big Data Lake
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6 BIG DATA SOLUTIONS FOR Creating value Driving efficiency Knowing customers Improving services Finding opportunity Increasing security The true value of harnessing big data is nearly endless. From predicting buying behaviors, to intelligence-driven innovation, to finding totally new opportunities that could transform your business. Whatever your goal, we ll provide exactly what you need to achieve it.
7 DATA DELUGE CHALLENGES TO OVERCOME With information flooding in How do I? Capture disparate data types very fast? Distinguish right signals from the noise? Rapidly react to competitors? Federate queries across data sources? Find the priceless needle in the data haystack among discrete silos? Easily protect, replicate, and secure data?
8 THE DATA CHASM REQUIRES A BRIDGE INCREASE AMOUNT OF DATA OPERATIONALIZED, WHAT NEW BUSINESS INSIGHTS? 70% of data created by customers 3% prepared for analysis 0.5% being analyzed Only 80% of that data is stored And <0.5% being operationalized
9 THE POWER OF 1 TO MAKE THE BUSINESS CASE
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11 STEPS TO HARNESS BIG DATA FOR SAP Build New Applications, Products, & Business Models Leverage New Analytics To Predict The Future Gather as Much Data As Possible
12 SAP S REAL TIME DATA PLATFORM IN SHORT, WHAT FOLLOWS IS OUR ENHANCEMENT OF SAP S REAL TIME DATA PLATFORM
13 GETTING TO THE THIRD PLATFORM WITH SAP CLOUD MOBILE COST/RI SK 3 rd PLATFORM APPLICATIONS Billions of Users Millions of Apps Business Demands SAP HANA Platform Operational Challenges AGILITY PRODUCTIVITY COMPLEXITY CAPACITY BIG DATA SOCIAL SERVICE LEVELS Increasing Demands from LOB to Enable Rapid Business Decisions
14 SAP BIG DATA LAKE SOLUTION USE CASE PREVENTATIVE MAINTENANCE OF HIGH TECH COMPANY PRODUCT
15 SAP BIG DATA LAKE SOLUTION USE CASE IMPLEMENTATION OF REAL-TIME RETAIL RECOMMENDATIONS
16 SAP BIG DATA LAKE SOLUTION USE CASE PROBLEM IDENTIFICATION IN TELCO NETWORK
17 SAP HANA APPLIANCE OPTION VBLOCK SPECIALIZED SYSTEM FOR SAP HANA WHAT IS IT? A Vblock Systems appliance which can scale to address different HANA database sizes Fully certified with SAP Hosts SAP HANA Business Warehouse only WHY IS IT UNIQUE? VCE Experience Factory-installed HW, SW that is validated Best systems performance powered by Intel, broadest HANA database size support SAP-led single support and validation per RCM Vblock Specialized System for SAP HANA WHO CAN USE IT? Customers looking for a side-car (test/dev) HANA environment Customers who might want to expand to production HANA analytic use cases SAP Business Warehouse users WHAT DOES IT DO? Requires less SAP HANA expertise Provides a pre-configured HANA environment Can be expanded for test/dev support
18 TAILORED DATA CENTER INTEGRATION MIXED WORKLOAD ENVIRONMENT (SAP HANA & NON-HANA) WHAT IS IT? Standard Vblock Systems enhanced with HANA-certified components Additional VCE TDI professional services for planning, design, and implementation of HANA Choose from list of HANA certified compute, network, and storage arrays WHY IS IT UNIQUE? Support a multiplicity of HANA mixed-workload use cases, including: Virtual HANA Production, test, development, and training Business Warehouse and/or SAP Business Suite SAP and non-sap workloads Vblock Systems WHO CAN USE IT? Customers looking for the best solution for SAP converged infrastructure for HANA and non- HANA workloads IT infrastructure managers with performance powered by Intel, reliability, and multiple-application SLAs WHAT DOES IT DO? Provides a solutions approach to reliable and flexible SAP application deployment Provides a bridge to new technology paradigms, such as Third Platform
19 SAP HANA DATA TEMPERATURE CHALLENGES Memory still relatively expensive Not all data has same value Need to tier data appropriately SAP SOLUTION SAP HANA Dynamic Tiering Option (SPS09) SAP HANA Near-Line Storage REQUIREMENTS Additional compute capacity Additional storage capacity VCE SOLUTION SAP HANA TDI on Vblock System Add servers for Extended Storage Server (Dynamic Tiering) Sybase IQ (NLS) Add storage for external data VCE BENEFIT Single Vblock System for all data temperatures Integrated data protection for all data temperatures
20 You Manage You Manage You Manage THE POWER OF PAAS ON VBLOCK Agility and Cost Savings Traditional IT Applications Data Runtime Middleware O/S Virtualization Servers Storage Networking IaaS Applications Data Runtime Middleware O/S Virtualization Servers Storage Networking IaaS Provider PaaS Applications Data Runtime Middleware O/S Virtualization Servers Storage Networking Business Value Pivotal CF on IaaS Cloud Enablement
21 SAP HANA AND PIVOTAL CLOUD FOUNDRY VCE Tech Extension for Compute SAP actively supports cloud based app development utilizing Cloud Foundry PaaS Platinum member of Cloud Foundry Open Source Service broker for HANA developed with Pivotal and available on GitHub Any Cloud Foundry application can connect to and leverage the in-memory capabilities of SAP HANA on Vblock
22 WHY ISILON FOR BIG DATA STORAGE EMC Isilon The Storage Platform for Big Data In-place analytics, Multi Protocol support NFS, CIFS, FTP, HTTP, HDFS Highly resilient, Predictable Scalability Distributed NameNode & DataNode Enterprise Data Protection & Governance SnapshotIQ, SyncIQ, SmartLock, ACLs.. Industry-Leading Storage Efficiency powered by Intel processors >80% Storage Utilization Independent Scalability with Optimized QoS Optimally Scale Storage & Compute Consolidate Data Silos Industry Standard Protocols Bring Applications to Shared Data
23 SAP S VIEW OF HANA AND HADOOP TOTALLY COMPLEMENTARY, IN FACT, THEY ENHANCE THE VALUE OF EACH OTHER
24 WHAT HADOOP BRINGS TO HANA Cost efficient data storage and processing for CDRs, web logs, text, audio, video, and machine data Batch Processing Where fast response times are less critical than scalability and reliability Complex Information Processing at Scale Enable heavily recursive algorithms, machine learning and queries that can t easily be expressed in SQL Post-hoc Analysis Mine raw data that s schema-less or where schema changes over time
25 SAP BIG DATA LAKE SOLUTION ON VBLOCK All tied together with Data Virtualization
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27 THE SECRET SAUCE: SMART DATA ACCESS Enables real-time data virtualization by creating virtual tables to external data sources Enable access to remote data just like local table No special syntax to access heterogeneous data sources Direct access to HDFS without the need for the package, mapper and reducer specifications Leverage HANA Repository Design Time for MapReduce jobs, remote Hadoop source and virtual functions
28 SAP HANA COMBINED WITH HADOOP Direct SAP HANA-Hadoop Connectivity Virtual HANA table to federate a HIVE table at query time Integration at ETL layer SAP Data Services provides direct Hadoop connectivity: Hive, HDFS Push down entity extraction as MapReduce jobs ETL data into SAP IQ IQ excels at handling structured data SAP BI Connectivity SAP Business Objects multisource Universe accesses Hadoop using Hive
29 IF YOU REMEMBER NOTHING ELSE. THE SAP BIG DATA LAKE SOLUTION ON VBLOCK PORTFOLIO Creates a logical Analytical Platform with real-time, in-memory capabilities powered by Intel that not only breaks down data silos tied together by laborious and time consuming manual efforts through data virtualization We pool together all your structured, semi-structured and unstructured data Similar to tiering disk drives, we tier analytics to put the right data in the right analytical tier at the right time, all protected and secured by EMC technologies We enhance your HANA investments by now giving you the ability to query PBs of data from HANA, not just TBs The more data that is available for HANA to analyze in real-time with predictive tools, the better the business decisions that can be made, the better the predictive algorithms that can be written and the more data that s available to understand your customers and supply chain better! With the addition of PaaS and CloudFoundry integrated into the solution, you turn HANA into a true Third Platform for SAP
30 BIG DATA EXPERTISE. POWERED BY THE VCE VBLOCK PORTFOLIO KEY TAKEAWAYS #1 Converged Infrastructures for SAP Business Applications Flexible Deployment Options Systems Assurance and Single Support Speed to Innovate and Simplify Operations Reduce Risk and TCO EMC AND OUR FEDERATION OF COMPANIES CAN GIVE YOU MORE BIG DATA VALUE THAN ANYBODY ELSE
31 FOR MORE INFORMATION For more information on VCE Vblock Solutions for SAP visit: Simplify your SAP journey with EMC Big Data Solutions visit:
32 SHOP CONVERGED INFRASTRUCTURE PRODUCTS IN THE EMC STORE STORE.EMC.COM Copyright 2014 EMC Corporation. All rights reserved. 32
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BUSINESS DATA LAKE FADI FAKHOURI, SR. SYSTEMS ENGINEER, ISILON SPECIALIST. Copyright 2016 EMC Corporation. All rights reserved.
BUSINESS DATA LAKE FADI FAKHOURI, SR. SYSTEMS ENGINEER, ISILON SPECIALIST 1 UNSTRUCTURED DATA GROWTH 75% 78% 80% 2015 71 EB 2016 106 EB 2017 133 EB Total Capacity Shipped, Worldwide % of Unstructured Data
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