BIG                                                          DATA                                                         ...
!!!                              !!!       “Big Data Is Less        About Size, And        More About        Freedom” ―Te ...
IDC: “Big data is a horizontal cross-section of the digital universe                               and can include transac...
What is Big                                                          Data?© Copyright 2010 EMC Corporation. All rights res...
Big Data is File & Unstructured Data                            90                            80                          ...
Big Data Demands New Solution                         47%                              37%                              Da...
Big Data Drives Scale-Out Adoption                         84%                      Already using                         ...
Why is Big Da ta a ppe a ring now?                                                         Source: IDC© Copyright 2010 EMC...
“The Inte rne t of Things ”          • Massive explosion of smart devices, all sending, receiving, storing data           ...
Source:                                                         GoGlobe© Copyright 2010 EMC Corporation. All rights reserv...
Compa nie s wa nt to s tore big da ta —Why?          • Google – Origina lly thought of a s “s e a rch e ngine ”           ...
The ra ce is on      • Data = Competitive Advantage, Data = Profit      • Takes a long time to build a functioning data   ...
© Copyright 2010 EMC Corporation. All rights reserved.   14
Big-Da ta -ba s e d De cis ions      • Unlock va lue by ma king informa tion transparent        and useable at higher freq...
How do you ma na ge a nd de s ign for Big Da ta ?          • Scale and parallelism are the keys                   – Big da...
EMC Is ilon.                                                         Re cord S ca la bility.                              ...
Da ta ce nte r Re quire me nts for Big Da ta                            Data Protection                            N+4 Pro...
Big Da ta Applica tions           Uns tructure d Da ta                                Semi-Structured Data                ...
S ca le -UP Archite cture s Not Ide a l for Big Da ta        S e rve r                                                    ...
Archite ctura l Tra ns ition - S ca le -OUT for Big Da ta        S e rve r                                                ...
EMC Gre e nplum DCA.                                 Ma s s ive ly P a ra lle l                                 Archite ct...
Incre a s ing De ma nd for Adva nce d Ana lytics      • Comple x               – De e p, rich a na lys is of big da ta s e...
EMC Greenplum: Purpose-built for Big Data      • EMC Gre e nplum is a s ha re d nothing, ma s s ive ly pa ra lle l        ...
MPP Shared-Nothing Architecture Greenplum’s Massively                                                                    ...
The EMC Big Data “Stack”4       Colla bora tive                                        Act                                ...
THANK                                                          YOU                                                        ...
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Big Data
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Big Data

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The explosion of unstructured, file-based data was a phenomenon first experienced by users in specialised markets, but it is now manifest in organisations of all shapes and sizes. Technological breakthroughs that have allowed us to create and process vast quantities of data are creating both a challenge and an opportunity. Organisations are struggling to find more cost-effective means of managing “Big Data”, but are also benefitting by leveraging this data to create competitive advantage and engender customer loyalty. Organisations want a new type of storage system that supports Big Data and cloud requirements with speed, scalability and elasticity. With a heritage firmly rooted in grid computing and storage virtualisation, EMC Isilon scale-out storage is ideally suited for rapidly-scaling environments. Come and hear how.

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Big Data

  1. 1. BIG DATA IS CHANGING THE WORLD© Copyright 2010 EMC Corporation. All rights reserved. 1
  2. 2. !!! !!! “Big Data Is Less About Size, And More About Freedom” ―Te chcrunch !!! THE ERA OF !!! “Findings : ‘Big BIG DATA !!! Da ta ’ Is More Extre me Tha n Volume ” ― Ga rtne r “Big Da ta ! It’s Re a l, It’s Re a l-time , a nd It’s Alre a dy IS HERE… “Tota l da ta : ‘bigge r’ Cha nging Your tha n big da ta ” ―IDB !!! World” !!! ― 451 Group !!!© Copyright 2010 EMC Corporation. All rights reserved. 2
  3. 3. IDC: “Big data is a horizontal cross-section of the digital universe and can include transactional data, warehoused data, metadata, and other data in ridiculously large files. Media/entertainment, healthcare, and video surveillance are obvious examples … Social media solutions such as Facebook, Foursquare, and Twitter are the newst data sources … thanks to the “network effect” of successful sites, the total data generated can expand at rapid logarithmic rates.”© Copyright 2010 EMC Corporation. All rights reserved. 3
  4. 4. What is Big Data?© Copyright 2010 EMC Corporation. All rights reserved. 4
  5. 5. Big Data is File & Unstructured Data 90 80 70 60 EXABYTES 50 40 30 20 10 0 2009 2010 2011 2012 2013 2014 File Based: 60.7% CAGR Block Based: 21.8% CAGR By 2012, 80% of all storage capacity sold will be for file-based data Source: IDC© Copyright 2010 EMC Corporation. All rights reserved. 5
  6. 6. Big Data Demands New Solution 47% 37% Data System Growth Performance & Scalability© Copyright 2010 EMC Corporation. All rights reserved. 6
  7. 7. Big Data Drives Scale-Out Adoption 84% Already using 50% Increase in the amount or planning to use of data on scale-out scale-out within infrastructures within the the next 24 months next 24 months© Copyright 2010 EMC Corporation. All rights reserved. 7
  8. 8. Why is Big Da ta a ppe a ring now? Source: IDC© Copyright 2010 EMC Corporation. All rights reserved. 8
  9. 9. “The Inte rne t of Things ” • Massive explosion of smart devices, all sending, receiving, storing data – handhelds, tablets, cameras – Human-oriented devices • Non-human-oriented devices – sensors, embedded CPUs • Social networking messages & data grow exponentially – Twitter feeds, Facebook updates, LinkedIn messages • Increasingly, business is conducted digitally – or digitized • Big Data is global – any source to any target© Copyright 2010 EMC Corporation. All rights reserved. 10
  10. 10. Source: GoGlobe© Copyright 2010 EMC Corporation. All rights reserved. 11
  11. 11. Compa nie s wa nt to s tore big da ta —Why? • Google – Origina lly thought of a s “s e a rch e ngine ” – Now: S toring the Inte rne t, s toring e ve ry s e a rch que ry • Fa ce book, Twitte r – J us t s ocia l me dia ? – S toring e ve ry me s s a ge you s e nd, monitoring e ve ry ma rke t tre nd • Ama zon – your e ve ry purcha s e , fore ve r • Ca rrie rs – S toring loca tion-ba s e d da ta on e ve ryone© Copyright 2010 EMC Corporation. All rights reserved. 12
  12. 12. The ra ce is on • Data = Competitive Advantage, Data = Profit • Takes a long time to build a functioning data warehouse, analytics tools, connect to business • Many companies have a head start • Every CIO needs to consider Big Data in their strategy to stay ahead – How to manage, how to leverage© Copyright 2010 EMC Corporation. All rights reserved. 13
  13. 13. © Copyright 2010 EMC Corporation. All rights reserved. 14
  14. 14. Big-Da ta -ba s e d De cis ions • Unlock va lue by ma king informa tion transparent and useable at higher frequency • More accurate information (e.g. inventories, trends) • Tailor products more precisely • Sophisticated analytics makes for better decisions • Better products (via web feedback, sensors, etc) Source: McKinsey© Copyright 2010 EMC Corporation. All rights reserved. 15
  15. 15. How do you ma na ge a nd de s ign for Big Da ta ? • Scale and parallelism are the keys – Big data is far too big to process sequentially – Too much coming in too quickly – Example: Banks seeking to process market data more quickly, reducing decision making time from days to minutes • Answer: Scale-out storage and scale-out processing© Copyright 2010 EMC Corporation. All rights reserved. 16
  16. 16. EMC Is ilon. Re cord S ca la bility. Re cord Ca pa city. Re ma rka ble S implicity.© Copyright 2010 EMC Corporation. All rights reserved. 17
  17. 17. Da ta ce nte r Re quire me nts for Big Da ta Data Protection N+4 Protection Up to 15 PBs Scalability Business Scale-Out BIG Single File Simplicity Continuance Replication ENTERPRISE SCALE-OUT System Management Sophisticated CAPABILITIES and Monitoring Analytics DATA Up to 1.4 million ARCHITECTURE Performance IOPs Block and File Interoperability 80+ % Utilization Efficiency© Copyright 2010 EMC Corporation. All rights reserved. 18
  18. 18. Big Da ta Applica tions Uns tructure d Da ta Semi-Structured Data S tructure d Da ta Gene Movie Seismic Sales Social Media Clickstream Productivity Telco Billing Retail POS Sequencing Editing Study Forecast Web Storage Content Services Hybrid Cloud EMC EMC EMC Atmos VMAX Isilon© Copyright 2010 EMC Corporation. All rights reserved. 19
  19. 19. S ca le -UP Archite cture s Not Ide a l for Big Da ta S e rve r Scalability Ne twork Performance Management Availability Cost S tora ge© Copyright 2010 EMC Corporation. All rights reserved. 20
  20. 20. Archite ctura l Tra ns ition - S ca le -OUT for Big Da ta S e rve r Scalability Ne twork Performance Management Availability Cost S tora ge© Copyright 2010 EMC Corporation. All rights reserved. 21
  21. 21. EMC Gre e nplum DCA. Ma s s ive ly P a ra lle l Archite cture . 5x Fa s te r Da ta Loa ding.© Copyright 2010 EMC Corporation. All rights reserved. 22
  22. 22. Incre a s ing De ma nd for Adva nce d Ana lytics • Comple x – De e p, rich a na lys is of big da ta s e ts – Ad hoc, inte ra ctive a na lys is , not s tructure d re ports • Time ly – On-going, fre que nt a na lys is (e .g. da ily, we e kly) – Ins ights de live re d in minute s /s e conds • Actiona ble – Forwa rd looking, pre dictive ins ight – Cre a te ne w bus ine s s va lue© Copyright 2010 EMC Corporation. All rights reserved. 23
  23. 23. EMC Greenplum: Purpose-built for Big Data • EMC Gre e nplum is a s ha re d nothing, ma s s ive ly pa ra lle l proce s s ing (MP P ) da ta wa re hous e s ys te m • Core principle of da ta computing is to move the proce s s ing dra ma tica lly clos e r to the da ta and to the people Fast Data Loading Extreme Performance Unified & Elastic Scalability Data Access© Copyright 2010 EMC Corporation. All rights reserved. 24
  24. 24. MPP Shared-Nothing Architecture Greenplum’s Massively MapReduce Parallel Processing (MPP) Database has extreme scalability on general purpose Master systems Servers ... ... Query planning Automatic parallelization and dispatch – Load and query like any Network database Interconnect Scan and process in parallel Segment ... – Extremely scalable and I/O Servers ... optimized Storage and query ... ... ... ... ... ... ... ... ... ... Linear scalability by adding processing nodes External – Each adds storage, query Sources performance and loading MPP loading, streaming, etc. performance© Copyright 2011 EMC Corporation. All rights reserved. EMC Confidential – NDA Required 25
  25. 25. The EMC Big Data “Stack”4 Colla bora tive Act Documentum xCP ?3 Re a l Time Analyze Greenplum, Hadoop2 S tructure d & Uns tructure d1 Petabyte Scale Store Isilon and Atmos© Copyright 2010 EMC Corporation. All rights reserved. 26
  26. 26. THANK YOU HAVE A GREAT CONFERENCE!© Copyright 2010 EMC Corporation. All rights reserved. 27
  27. 27. YOUR YEAR-ROUND IT RESOURCE – access to everything you’ll need to know
  28. 28. THE WHOLETECHNOLOGY STACKfrom start to finish
  29. 29. COMMENT & ANALYSISInsights, interviews and the latest thinking on technology solutions
  30. 30. VIDEOYour source of live information – all the presentations from our live events
  31. 31. TECHNOLOGY LIBRARY Over 3,000 whitepapers,case studies, product overviews and press releases from all the leading IT vendors
  32. 32. EVENTS, WEBINARS & PRESENTATIONS Missed the event? Download the presentations thatinterest you. Catch up with convenient webinars. Plan your next visit.
  33. 33. DirectoryA comprehensive A-Z listing providing in-depth company overviews
  34. 34. ALL FREE TO ACCESS 24/7
  35. 35. online.ipexpo.co.uk

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