EMC Big Data: Cesta k podniku řízenému daty

Transcription

1 EMC Big Data: Cesta k podniku řízenému daty 1

2 Kdo bude přednášet? Petr Dvořák GAPP System Luděk Šafář cz.linkedin.com/in/ludeksafar/ 2

3 What Is Big Data Exactly? Enterprise Internet 3

4 Why Is Big Data Important? Understand Customer Behavior Optimize Operations Manage Risk Enable Innovation 4

5 Where Do I Focus? Understand Customer Behavior Optimize Operations Manage Risk Understand Customer Behavior Optimize Operations Manage Risk Enable Innovation Manage Risk Manage Risk Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 5

6 Pivotal Next generation platform for CLOUD & BIG / FAST DATA Applications 1250 ~$300M 6

7 The value of data over time Value of Data ($) Fast Data Big Data Traditional Data Warehouse µs ms s hour day month year yr+ Time 7

8 Keys To Success: Maximize Opportunities Current Situation Unclear business cases Skills deficits Lack of experience Rigid app dev procedures Complex app deployment Data silos Escalating data management costs People Process Technology Data-Driven Enterprise Optimal use cases Trained & experienced staff Agile dev methodology PaaS Data Lake Simplified data mgmt 8

9 Keys To Success: Technology Current Situation Data silos Escalating data management costs Complex app deployment People Process Technology EMC Solutions EVP Data Lake Pivotal CF 9

10 Today s Analytic Environment Complex And Costly Data Sources Planning ETL Data Warehouse Prioritized Operational Processes Reporting Data Marts New approaches Non-IT Analytics 10

11 Architect For A Data Lake Centralize Data Storage, Processing, And Application Services Ingest Store Analyze Surface Act All(!), even new data sources One concept, different storages (even current ones) Non-DB optimized, open for external inputs Business connected User understandable Application aware and supporting application logic 11

12 How to start? Let s find some quick wins Data Analysts Frontend Analytic Tools Today: Advanced business user Excel, Access, Tomorrow: Data Scientist Professional analytic tools Backend (Big Data) Storage Production database Flat files Big Data Ecosystem storage 12

13 EVP Data Lake Minimize Silos Through Support Of Diverse Application Requirements Multi-protocol support enables legacy applications use VELOCITY NoSQL STORAGE DSSD HDFS COMPUTE GEMFIRE XD NoSQL ANALYTIC TOOLS REALTIME Existing data available for analytics through HDFS VARIETY NFS SMB VNX OTHER ViPR HDFS HAWQ IN-MEMORY SQL SQL INTERACTIVE Enables different data processing needs Modular architecture enables use of some or all components VOLUME NFS S3 SWIFT ATMOS ISILON ViPR ECS APPLIANCE HDFS HDFS PIVOTAL HD DCA D A T A L A K E MR HDFS BATCH VMWARE 13

14 Data & Analytics Technology Ecosystem Analytics Business Intelligence Data Integration Social Media Services Data Modeling 14

15 Engage With EMC and GAPP GAPP maps your needs, data and processes. Proposes the best approach. GAPP delivers data analytics, business intelligence and social media analytics tools. EMC: infrastructure solutions to evolve into a Data Lake 15

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17 Big Data Opportunities By Industry Eleven Industries Manu & N. Res. Media/Comm Services Government Education Retail Banking Insurance Health Care Transportation Utilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 17

18 Big Data Opportunities By Industry Manufacturing And Natural Resources 69% Customer experience 64% 58% 56% 47% 44% 20% 20% 14% Process efficiency New products/models Cost reduction More targeted marketing Improved risk management Monetize information directly Regulatory compliance Enhanced security capabilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 18

19 Big Data Opportunities By Industry Media/Communications 76% 71% 62% 57% 52% 38% 33% 29% 24% Customer experience Process efficiency More targeted marketing Cost reduction New products/models Improved risk management Monetize information directly Regulatory compliance Enhanced security capabilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 19

20 Big Data Opportunities By Industry Services 75% 70% 61% 58% 46% 43% 36% 24% 17% New products/models Customer experience Process efficiency More targeted marketing Cost reduction Monetize information directly Improved risk management Enhanced security capabilities Regulatory compliance Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 20

21 Big Data Opportunities By Industry Government 70% 59% 56% 48% 48% 44% 37% 33% 33% Process efficiency Cost reduction Improved risk management New products/models Customer experience Monetize information directly Regulatory compliance More targeted marketing Enhanced security capabilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 21

22 Big Data Opportunities By Industry Education 85% 77% 69% 54% 54% 46% 31% 31% 23% Efficiency Customer experience Cost reduction More targeted marketing New products/models Regulatory compliance Improved risk management Enhanced security capabilities Monetize information directly Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 22

23 Big Data Opportunities By Industry Retail 80% 73% 60% 47% 40% 40% 13% 13% 7% Customer experience More targeted marketing Cost reduction Monetize information directly Process efficiency New products/models Improved risk management Regulatory compliance Enhanced security capabilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 23

24 Big Data Opportunities By Industry Banking 71% 61% 61% 56% 54% 46% 46% 27% 27% Customer experience More targeted marketing Improved risk management Process efficiency New products/models Cost reduction Regulatory compliance Monetize information directly Enhanced security capabilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 24

25 Big Data Opportunities By Industry Insurance 74% 61% 61% 52% 45% 45% 32% 29% 23% Customer experience Process efficiency More targeted marketing New products/models Cost reduction Improved risk management Enhanced security capabilities Regulatory compliance Monetize information directly Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 25

26 Big Data Opportunities By Industry Healthcare 58% 50% 50% 50% 42% 42% 33% 17% 17% Cost reduction Process efficiency Customer experience Improved risk management New products/models Regulatory compliance Enhanced security capabilities More targeted marketing Monetize information directly Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 26

27 Big Data Opportunities By Industry Transportation 79% 71% 71% 71% 64% 29% 21% 21% 14% Process efficiency Customer experience New products/models Cost reduction More targeted marketing Monetize information directly Improved risk management Regulatory compliance Enhanced security capabilities Gartner 9/13: Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the Hype 27