IMCSummit 2015 - Day 1 IT Business Track - In-memory computing with SAP HANA: The Next Era Of Data Architecture
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The document discusses in-memory computing with SAP HANA, highlighting its role in addressing challenges posed by hyperconnectivity and rising customer expectations. It emphasizes the importance of real-time data processing for improving customer experience and business operations. Additionally, it details the features of the SAP HANA platform, including its ability to run transactions and analytics together, advanced data processing capabilities, and various deployment options.
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IMCSummit 2015 - Day 1 IT Business Track - In-memory computing with SAP HANA: The Next Era Of Data Architecture
- 1. In-memory computing with SAP HANA June 2015 Amit Satoor, SAP @asatoor © 2015 SAP SE or an SAP affiliate company. All rights reserved. 1
- 2. Hyperconnectivity across people, business, and devices give rise to a new digital economy powered by real-time data © 2015 SAP SE or an SAP affiliate company. All rights reserved. 2 75 billion connected devices in the Internet of Things Over 2.55 billion social media users by 2020 U.S.$65 trillion in global trade through connected businesses Source: SAP Corporate Fact Sheet 1/2015Source: www.emarketer.comSource: Business Insider
- 3. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 3 As five billion people reach middle class, new challenges arise in customer expectations, workforce, and resource management Dramatically Changing Workforce 82% customers stop doing business with a company due to a poor experience $5.6T savings through connected vehicles 67% increase in crop yields 22% increase in supply chain efficiency Rising Customer Expectations 71% of business leaders believe that customer experience is the next battleground High employee engagement: 3x higher operating margin 72% of Millennials feel their current organization is not making full use of their skills Pressure on Resources Water 1.5x by 2030 Energy 1.5x by 2020 Food 1.5x by 2030 Metals 2x by 2030 Sources: Impact Report, Harris Interactive. Colin Shaw and John Ivens, 2010; Deloitte Millennial Study, 2015; Shell, 2014; WRI, 2014; SAP SE, 2014. Towers Watson, 2012
- 4. 77% of CEOs are creating value in the customer experience with digital technologies © 2015 SAP SE or an SAP affiliate company. All rights reserved. 4 Mobile Social Big Data Cloud 36% of all data will be stored in the cloud by 2016 90% of the world's population over 6 years old will have a mobile device by 2020 75% of customers rely on social media to influence their purchasing decisions 44 trillion gigabytes of data generated by 2020 Sources: McKinsey Study, 2013; CloudTweaks.com; Ericsson, 2014; CIO Insight, 2014; Adweek, 2014
- 5. A breakthrough in today’s information processing architecture is needed DEEP Complex & interactive questions on granular data BROAD Big data, many data types HIGH SPEED Fast response-time, interactivity SIMPLE No data preparation, no pre-aggregates, no tuning DEEP Complex & interactive questions on granular data SIMPLE No data preparation, no pre-aggregates, no tuning REAL -TIME Recent data, preferably real-time HIGH SPEED Fast response-time, interactivity OR © 2015 SAP SE or an SAP affiliate company. All rights reserved. 5
- 6. 10.2% or U.S.$237 billion of profits are lost by the top 200 global companies due to hidden costs of complexity © 2015 SAP SE or an SAP affiliate company. All rights reserved. 6 Source: The Simplicity Index 2011, 2015 Wharton-SAP Run Simple Survey. Real-time Business Scenario Real-time bonus calculations for consumers Sales Customer Service Customer overdue credit calculation by product areas Finance and Operations Iterative period end closing with new posting into accounts constantly Manufacturing New ATP strategies; MRP run for individual ATP check/instant re-planning IMPACT ON BUSINESS Slow Response Times | Usability Challenges | Lack Of Adaptability IMPACT ON IT High Latency | Complexity | High Cost of Solutions Transactional Datastore Data Warehouse Sensors Data Mobile Data Archives Social & Text Geo-Spatial Location Intelligence Order Processing Operational Reporting Real-time Risk & Fraud Trend Analysis Sentiment Analytics Predictive Analytics Pattern Recognition Analyze ETL Staging Collect Clean-Data Quality Transact Aggregate Summarize Communicate Monitor Predict Planning 0 1
- 7. CPU Next-generation Software & Hardware Architecture Removing data processing bottlenecks using latest innovations in computing STORAGE MEMORY Compression PartitioningOLTP+OLAP in column Store Insert Only on Delta No Aggregate tables (Dynamic Aggregation) Solid State Flash HDD 64bit address space 1 TB in current servers Dramatic decline in price/performance L3 Cache L3 Cache L3 Cache L3 Cache L3 Cache L3 Cache L3 Cache L3 Cache Multi-Core Architecture 8 CPU x 10 Cores per blade Massive parallel scaling with many blades Logging and Backup © 2015 SAP SE or an SAP affiliate company. All rights reserved. 7
- 8. SAP HANA Platform - The in-memory computing platform for all Applications SAP HANA Platform Application Services Database Services Integration Services SAP, ISV and Custom Applications All Devices OLTP + OLAPONE open platform ONE copy of the data All Data © 2015 SAP SE or an SAP affiliate company. All rights reserved. 8
- 9. Standard-based and Open • Database Services – Standard RDBMS – ACID, SQL 92 Compliant – Accessible thru JDBC, ODBC, JSON, OData – Standard security model – Choice of third party administration tools • Application Services – Choice of application servers and webservers – Eclipse based and web development tool – Include web server with Java Script support – Include HTML5 UI libraries • Integrations Services – Data movement and federation with existing DBs – Integration with R and Hadoop SAP HANA Platform Application Services Database Services Integration Services © 2015 SAP SE or an SAP affiliate company. All rights reserved. 9
- 10. SAP HANA Platform Application Services Integration Services Database Services – Foundation and Processing Capabilities In-memory Database Services Turns data into real-time information No database tuning required for complex and ad hoc queries Run Transactions and Analytics together on one system and one copy of data Ready for Cloud, Hybrid, or On-premise deployment Not limited by the size of memory Advanced Compression Multitenant Database Containers In-Memory ACID Columnar Dynamic Tiering Multi-Core / Parallelization © 2015 SAP SE or an SAP affiliate company. All rights reserved. 10
- 11. Comprehensive advanced data processing and analytics SAP HANA Platform Application Services Integration Services Database Services – Foundation and Processing Capabilities Predictive Search Function Libraries Spatial Text MiningText Analytics Graph Data Quality Run applications with dramatically different datatype characteristics in the same system Optimize graph, planning, and rules applications on the same data Empower your business via built-in predictive analytics, business functions, and data quality Series Data © 2015 SAP SE or an SAP affiliate company. All rights reserved. 11
- 12. Application Services- Web server and database in one system reducing data movements Database Services SAP HANA Platform Application Services Integration Services J/ODBCADO.NET ODataJSONSQL HTML5 MDX XML/A Deliver consumer-grade User Experiences for any device, automatically Support for open development standards – HTML5, JSON, Java Script Built-in tools to develop, version-control, bundle, transport, and install applications Web Server SAP Fiori UX Application Lifecycle Management
- 13. Integration Services - Data from any source for a complete view of the business SAP HANA Platform Integration Services Database Services IBM DB2, Oracle, MS SQL Server, Twitter, HIVE, OData, Custom Adapters IBM DB2, Netezza, Oracle, MS SQL Server, Teradata, SAP HANA, SAP ASE, SAP IQ, HIVE Application Services Loading Access information stored in data silos while keeping the data in place Replicate and move any type of data in real-time to the cloud and on-premise when necessary Capture and analyze live data streams and route to appropriate storage or dashboard Multiple access points from HANA to Hadoop data: thru Spark, Hive, HDFS and Map Reduce functions Federation Smart Data Access Smart Data Integration Hadoop Integration Smart Data Streaming (CEP) Streaming © 2015 SAP SE or an SAP affiliate company. All rights reserved. 13
- 14. J/ODBCADO.NET ODataJSONSQL HTML5 MDX XML/A Comprehensive services with in-memory computing to make information available to any application Smart Data Quality Series Data Functional Libraries Smart Data Integration Smart Data Streaming Graph* Planning**Text AnalyticsSearchSpatial Predictive SAP HANA Platform Application Services Web Server | JavaScript | Fiori UX | Application Lifecycle Management Integration Services Database Services OLTP + OLAP | Data Modeling | Stored Procedures | Multitenant Database Containers | Dynamic Tiering Smart Data Access | | | || | | || On-Premise | Cloud | Hybrid * Graph is in controlled availability ** Not available for external use. Available with SAP products – SAP Business Warehouse powered by HANA, Business Planning & Consolidation(BPC), Sales & Operations Planning (S&OP). © 2015 SAP SE or an SAP affiliate company. All rights reserved. 14
- 15. Node nNode 2Node 1 Choose the right on premise deployment option Appliance All in one box by certified partners Tailored Data Center Integration Choice of components that meet SAP requirements from different vendors SAP HANA System Software Server Network Storage Software Server Network Storage Software Server Network Storage Node n SAP HANA System Node 2Node 1 Software Server Network Storage Software Server Network Storage Software Server Network Storage © 2015 SAP SE or an SAP affiliate company. All rights reserved. 15
- 16. High Availability (HA) and Disaster Recovery (DR) Ensuring the most demanding service-levels Host Auto-Failover (HA) Within one scale-out system N active nodes, M standby node(s) Automatically switch to standby node System Replication (HA & DR) Across multiple systems / locations Continuous data transfer from memory Fast switch-over on system failure Geo clusters Metro cluster Sync Async Async Storage SAP HANA (Primary) Node Storage SAP HANA (Secondary) Node Storage Replication (DR) Across multiple systems / locations Transfer data using storage mirroring Low cost option Supports campus, metro and geo clusters with multiple hot standbys Campus cluster SAP HANA Node 1 Node 2 Standby Storage Storage SAP HANA (Primary) Node Storage SAP HANA (Secondary) Node Secondary system can be used for Dev/QA. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 16
- 17. SAP HANA Platform All SAP applications run better with in-memory computing Core Business Processes S/4HANA Data Warehouse and Data Marts BW on HANA Advanced Analytics BPC, S&OP, CO-PA Operational Reporting, BI HANA Live, Lumira Cloud Solutions Successfactors, Sales, Service and Marketing Business Network Ariba Big Data Customer Engagement Intelligence IoT Predictive Maintenance © 2015 SAP SE or an SAP affiliate company. All rights reserved. 17
- 18. Common use cases Optimizing Business Operations Operational Reports, Dashboards, and Analytics Real-time Operational Intelligence Data Warehouse and Data Mart Big Data Decision Support, Simulation and Automation Get instant insights into real- time transactions to optimize business operations Analyze and visualize operational details to support your day-to-day activities Run queries against operational data, streams and events to deliver real-time insights Deliver actionable insights on enterprise-wide or departmental data Uncover the value in large, complex and rapidly growing data sets Streamline and automate business processes with advanced analytics © 2015 SAP SE or an SAP affiliate company. All rights reserved. 18
- 19. Deliver results for business today 5,800+ SAP HANA customers 1,850+ SAP Business Suite and 1,600+ BW powered by SAP HANA customers 1,800+ startups from 57 countries innovating on SAP HANA 10,000 times faster reports 37+ SAP HANA Cloud Data Centers Worldwide (from SAP and IBM) Forrester reports 37% cost savings using a single system for Analytics and Transactions © 2015 SAP SE or an SAP affiliate company. All rights reserved. 19