Capture Business Opportunities from Systems of Record and Systems of Innovation

Transcription

1 Capture Business Opportunities from Systems of Record and Systems of Innovation Amit Satoor, SAP March Hartz, SAP PUBLIC

2 Big Data transformation powers digital innovation system Relevant nuggets of information are still hard to find Business expectations Deep data insights SAP Leonardo technologies Broad data scope Internet of Things Access to most recent data Analytics Machine learning and artificial intelligence Answers in real time Blockchain Internet of Things Big Data Not delayed by constant data preparation Predictive capabilities Machine Learning Big Data Analytics Blockchain 2

3 Why is it difficult to capture new opportunities? Silos, data movement, and complexity in understanding raw data hinder business agility and innovation Exploding data volumes Accelerated data velocity Increasing data variety Proliferating data lakes Cloud storages Multiple EDWs, data marts 3

4 7 LAWS OF UNIVERSALDATA Logical model Integrated for 360- degree business view Low latency Immediate response Performance To handle all types of needs Independence Of data and compute for right-place decisions Frictionless Sharing and enrichment for thorough understanding Freedom Cloud, hybrid, or on premise Governance Security, auditing, and compliance 4

5 Critical components for universal data foundation Business transformation BUSINESS VALUE FLEXIBILITY AGILITY Data sharing Processing and computing INTEGRATION AUTOMATION DATA-DRIVEN Storage Ingestion 5

6 A radical new approach to uncover new opportunities Embrace new innovations to run and differentiate your business SAP HANA platform Enterprise data SAP BusinessObjects solutions SAP solutions for EIM SAP Vora SAP Cloud Platform Big Data Services Big Data SQL Big Data Applications Big Data Analytics Big Data Computing framework Big Data Managed services 6

7 SAP HANA platform The in-memory data platform for digital business APPLICATION DEVELOPMENT All devices SAP, ISV, and custom applications SAP HANA platform ADVANCED ANALYTICAL PROCESSING DATA INTEGRATION AND QUALITY Web server </> JavaScript ALM Spatial Graph Predictive Search Data virtualization ELT and replication SAP Fiori UX Graphic modeler Application lifecycle management Text analytics Streaming analytics Series data Business functions Data quality Hadoop and Spark integration Remote data sync DATABASE MANAGEMENT Columnar OLTP+OLAP Multicore and parallelization Advanced compression Multitenancy Multitier storage Data modeling Openness Admin and security High availability and disaster recovery ONE open platform OLTP + OLAP ONE copy of the data 7

8 SAP Vora Distributed computing solution to uncover actionable insights from Big Data Distributed computing cluster SAP Vora SAP Vora SAP Vora Spark Spark Spark Data science Predictive Business intelligence Visualization apps Files Files Files SAP Vora Data modeler Optional Relational Time series Graph Doc store Disk-to-memory accelerator Distributed transaction log Spark Hadoop SAP HANA platform Other apps In-memory store 8

9 Rapidly and efficiently acquire and consolidate all data Integrate and ingest massive amounts of diverse and arbitrary data Data virtualization ELT/ replications Hadoop/ open source integration Remote data sync Data quality Leverage data in real time for innovation, faster deployment, and lowered total cost of ownership (TCO) Quickly acquire, stream, replicate, and transform any kind of data at any velocity Connect relational databases, classic EDW, and Hadoop sources quickly Integrate any data source flat file, relational, Big Data, or event Data quality MDM Data integration Data discovery and architecture Information lifecycle management Employ simple and powerful data acquisition, streaming, and transformation capabilities Use efficient tools for data movement, cleansing, and placement throughout the architecture 9

10 Manage massive volumes of data with elastic storage and persistence Leverage ALL data for innovation for quicker ROI and reduced latency and TCO Columnar OLTP+OLAP Multicore and parallelization Advanced compression Multitenancy Multitier storage Organize and store petabytes of data for ready analysis Data modeling Admin and security High availability and disaster recovery Use native multitemperature management and virtualization; reduce data movement by accessing and processing data from any source at its location Optimize and integrate data warehousing with logical data modeling Use full virtualization and schema extension capabilities; federate data from any data source 10

11 Achieve real results to get the insights you need, alone or in combination Unified in-memory computing services and distributed processing Discover insights to drive innovation and make better and faster business decisions Spatial Graph Machine learning Search Text analytics In-memory first architecture for operational systems and Big Data landscape Streaming analytics Series data Business functions Integrated multimodal advanced analytics to converge multiple complex analytic processing without data movement or duplication; native multimodal SQL (predictive, search, text, spatial, graph, series, streaming) Accelerated OLAP analysis and scoring with built-in algorithms; ability to adapt the models frequently Multiplatform architecture to deploy in the cloud, on premise, or hybrid OLAP Time series Graph Doc store 11

12 SAP HANA and SAP Vora: Connecting data from many sources SAP HANA platform SAP Vora Spark SAP Vora Spark Application services Database services Integration services Smart data access Smart data integration Streaming analytics Remote data sync Federation Loading Streaming Synchronize IBM DB2, SAP IQ, Oracle, MS SQL Server, Hive IBM DB2, Oracle, MS SQL Server, Twitter, Hive, OData 12

13 Enabling Big Data processing patterns: Lambda architecture Query results 3 Query processing Real-time views Update 1 2 Real-time processing Speed layer Batch views Serving layer Batch processing Overwrite All data master dataset Ingest New data Ingest/append 13

14 Enabling Big Data processing patterns: Kappa architecture Query results Real-time views Update Real-time processing Speed layer Raw data Long-term storage Recompute if needed Unified log New data 14

15 Universal Big Data foundation for SAP Leonardo Enterprise applications Analytics tools SAP HANA data warehouse Other SAP HANA clients External data source SAP HANA platform In-memory processing Data collection technologies (Kafka, Flume) Streaming analytics Real-time processing SDA In-memory store SAP HANA processing engines vudf Dynamic tiering SAP HANA disk store SDA Other data stores (for example, SAP IQ) External data source SAP Vora SAP Vora processing engines Spark Raw data MapReduce HDFS Offline processing Preprocessed data Data discovery tools 15

16 Data hub for the Internet of Things (IoT) IoT apps (SAP Cloud Platform) Data processing and orchestration Big Data lakes Ingestion and stream Powerful end-to-end IoT scenario Go from ingestion to consumption with a modern architecture and ingestion pipeline Harness high-volume data results (for example, sensor data) Manage single or multiple data lakes and environments with the needed data quality On-premise Hadoop, SAP Cloud Platform Big Data Services, and/or Amazon S3 Ingest and process data for enterprise applications Automate, design, and run all data processes on the data hub Define and execute the IoT ingestion process IoT gateway and services Sensors 16

17 Utilities rise to the smart meter challenge Smart meters lead utilities to reconsider how they use data Current situation 8 TB a month and over 1 PB in a 10-year period TBs of data each month Must retain data for 10 years Must accurately forecast energy usage Current DW technology is approaching end of life Massive amounts of data stored in proprietary solution is hard to manage and with a high total cost of ownership SAP Vora Historical sensor data Parallelized queries Dynamic tiering SAP HANA Query data within and across tiers Benefits of integrating Big Data Meet regulatory requirements Forecast energy usage Detect fraud and predict maintenance requirements Respond intelligently to variations in supply and demand with smart grids 17

18 The results of simplified Big Data ownership with SAP HANA, dynamic tiering, SAP Vora, and Hadoop Solution HOT+WARM+COLD data management strategy leverages SAP HANA data compression and data tiering Combined SAP HANA, dynamic tiering, and Hadoop into a single landscape Automatic access to stored data in SAP HANA, dynamic tiering, and Hadoop and SAP Vora with query execution Automated data movement between storage tiers using the data lifecycle manager Foundation for advanced predictive analytics and future business capabilities Results Instant real-time analytics through SAP HANA 75% savings in storage costs compared to current solution Seamless integration with Hadoop technology, enabling data scientists to access and manage Hadoop data Ability to charge business based on data storage and performance requirements 18

19 Big Data strategy from SAP Top reasons and capabilities Comprehensive approach Combines integration, workflow, pipelining, and data governance in one place Embracing the entire data landscape Diversity of data sources, data types, and endpoints; cloud or on-premise; SAP and non-sap data Unified management Enables more users with a visual and unified solution to manage, monitor, and develop powerful data pipelines Enterprise-wide discovery Provides the ability to understand the entire landscape, the individual systems, and the data within Data-driven architecture Massively scalable, containerized, and distributed architecture build for serverless computing Data sharing Governance Streams and pipelines Orchestration SAP HANA platform Enterprise data SAP BusinessObjects solutions SAP solutions for EIM SAP Vora SAP Cloud Platform Big Data Services Hadoop integration Big Data SQL 19

20 Join the Big Data product leadership program Unearth business signals from Big Data landscapes to grow value Early adopter care Gain competitive advantage Get implementation support Provide product feedback Be in the know Get the latest news and access to special activities 20

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