In-memory computing with SAP HANA

Transcription

1 In-memory computing with SAP HANA June 2015 Amit Satoor, 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 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: Business Insider Source: Source: SAP Corporate Fact Sheet 1/ SAP SE or an SAP affiliate company. All rights reserved. 2

3 As five billion people reach middle class, new challenges arise in customer expectations, workforce, and resource management 82% customers stop doing business with a company due to a poor experience 71% of business leaders believe that customer experience is the next battleground Rising Customer Expectations 72% of Millennials feel their current organization is not making full use of their skills High employee engagement: 3x higher operating margin Water 1.5x by 2030 Energy 1.5x by 2020 Food 1.5x by 2030 Metals 2x by 2030 Pressure on Resources $5.6T savings through connected vehicles 67% increase in crop yields 22% increase in supply chain efficiency Dramatically Changing Workforce Sources: Impact Report, Harris Interactive. Colin Shaw and John Ivens, 2010; Deloitte Millennial Study, 2015; Shell, 2014; WRI, 2014; SAP SE, Towers Watson, SAP SE or an SAP affiliate company. All rights reserved. 3

4 77% of CEOs are creating value in the customer experience with digital technologies Cloud 36% of all data will be stored in the cloud by 2016 Mobile Social Big Data 90% of the world's population over 6 years old will have a mobile device by % 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, SAP SE or an SAP affiliate company. All rights reserved. 4

5 A breakthrough in today s information processing architecture is needed DEEP Complex & interactive questions on granular data OR DEEP Complex & interactive questions on granular data HIGH SPEED Fast response-time, interactivity BROAD Big data, many data types HIGH SPEED Fast response-time, interactivity SIMPLE No data preparation, no pre-aggregates, no tuning REAL -TIME Recent data, preferably real-time SIMPLE No data preparation, no pre-aggregates, no tuning 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 IMPACT ON BUSINESS Slow Response Times Usability Challenges Lack Of Adaptability Real-time Business Scenario Sales Real-time bonus calculations for consumers 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 Planning Predict Order Processing Operational Reporting Real-time Risk & Fraud Trend Analysis Sentiment Analytics Predictive Analytics Pattern Recognition Location Intelligence Monitor Communicate Analyze Summarize Aggregate ETL Staging Clean-Data Quality 1 Collect Transact 0 Transactional Datastore Data Warehouse Sensors Data Mobile Data Archives Social & Text Geo-Spatial IMPACT ON IT High Latency Complexity High Cost of Solutions Source: The Simplicity Index 2011, 2015 Wharton-SAP Run Simple Survey SAP SE or an SAP affiliate company. All rights reserved. 6

7 Next-generation Software & Hardware Architecture Removing data processing bottlenecks using latest innovations in computing CPU Multi-Core Architecture 8 CPU x 10 Cores per blade Massive parallel scaling with many blades 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 MEMORY OLTP+OLAP in column Store Partitioning Insert Only on Delta No Aggregate tables (Dynamic Aggregation) Compression Logging and Backup STORAGE Solid State Flash HDD 2015 SAP SE or an SAP affiliate company. All rights reserved. 7

8 SAP HANA Platform - The in-memory computing platform for all Applications All Devices SAP, ISV and Custom Applications SAP HANA Platform Application Services Database Services Integration Services All Data ONE open platform OLTP + OLAP ONE copy of the 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 In-memory Database Services SAP HANA Platform Application Services Database Services Foundation and Processing Capabilities In-Memory ACID Columnar Multi-Core / Parallelization Advanced Compression Multitenant Database Containers Dynamic Tiering Integration 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 2015 SAP SE or an SAP affiliate company. All rights reserved. 10

11 Comprehensive advanced data processing and analytics SAP HANA Platform Application Services Database Services Foundation and Processing Capabilities Spatial Graph Predictive Search Text Analytics Text Mining Data Quality Series Data Function Libraries Integration Services 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 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 SQL JSON ADO.NET J/ODBC OData HTML5 MDX XML/A SAP HANA Platform Application Services Web Server SAP Fiori UX Application Lifecycle Management Database Services Integration Services 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

13 Integration Services - Data from any source for a complete view of the business SAP HANA Platform Application Services Database Services Integration Services Smart Data Access Smart Data Integration Smart Data Streaming (CEP) Hadoop Integration Federation Loading Streaming IBM DB2, Netezza, Oracle, MS SQL Server, Teradata, SAP HANA, SAP ASE, SAP IQ, HIVE IBM DB2, Oracle, MS SQL Server, Twitter, HIVE, OData, Custom Adapters 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 2015 SAP SE or an SAP affiliate company. All rights reserved. 13

14 Comprehensive services with in-memory computing to make information available to any application SQL JSON ADO.NET J/ODBC OData HTML5 MDX XML/A SAP HANA Platform Application Services Web Server JavaScript Fiori UX Application Lifecycle Management Database Services OLTP + OLAP Data Modeling Stored Procedures Multitenant Database Containers Dynamic Tiering Spatial Predictive Search Text Analytics Graph* Planning** Smart Data Quality Series Data Functional Libraries Smart Data Access Integration Services Smart Data Integration Smart Data Streaming 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) SAP SE or an SAP affiliate company. All rights reserved. 14

15 Choose the right on premise deployment option Appliance SAP HANA System Tailored Data Center Integration SAP HANA System Software Server Software Server Software Server Software Server Software Server Software Server Network Network Network Network Network Network Node 1 Node 2 Node n Node 1 Node 2 Node n All in one box by certified partners Choice of components that meet SAP requirements from different vendors 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 Supports campus, metro and geo clusters with multiple hot standbys Campus cluster Sync Metro cluster Async Async Geo clusters 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 Replication (DR) Across multiple systems / locations Transfer data using storage mirroring Low cost option SAP HANA SAP HANA (Primary) SAP HANA (Secondary) SAP HANA (Primary) SAP HANA (Secondary) Node 1 Node 2 Standby Node Node Node Node Secondary system can be used for Dev/QA SAP SE or an SAP affiliate company. All rights reserved. 16

17 All SAP applications run better with in-memory computing Core Business Processes S/4HANA Data Warehouse and Data Marts BW on HANA Operational Reporting, BI HANA Live, Lumira Advanced Analytics BPC, S&OP, CO-PA Cloud Solutions Successfactors, Sales, Service and Marketing Business Network Ariba Big Data Customer Engagement Intelligence IoT Predictive Maintenance SAP HANA Platform 2015 SAP SE or an SAP affiliate company. All rights reserved. 17

18 Common use cases Optimizing Business Operations Get instant insights into realtime transactions to optimize business operations Operational Reports, Dashboards, and Analytics Analyze and visualize operational details to support your day-to-day activities Real-time Operational Intelligence Run queries against operational data, streams and events to deliver real-time insights Data Warehouse and Data Mart Deliver actionable insights on enterprise-wide or departmental data Big Data Uncover the value in large, complex and rapidly growing data sets Decision Support, Simulation and Automation 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 Forrester reports 37% cost savings using a single system for Analytics and Transactions 10,000 times faster reports 37+ SAP HANA Cloud Data Centers Worldwide (from SAP and IBM) 2015 SAP SE or an SAP affiliate company. All rights reserved. 19

20 Run Simple. Thank you.