Intel Cloud Summit: Big Data


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Intel Cloud Summit: Big Data

  1. 1. Big Data Nick Knupffer Marketing Director PRC & APAC DCSG, Intel1
  2. 2. Video goes hereVideo download link:
  3. 3. Every two days, we create as much information as we did from the dawn of civilization up until 200333
  4. 4. Big Data Phenomenon 1.8ZB in 2011 750 Million 966PB 2 Days > the dawn of civilization Photos uploaded to Facebook in Stored in US manufacturing to 2003 2 days (2009) 209 Billion 200+TB 200PB RFID tags sale in 2021: A boy’s 240’000 hours by a MIT Storage of a Smart City project from 12 million in 2011 Media Lab geek in China $800B $300B /year $32+B in personal location data within US healthcare saving from Big Acquisitions by 4 big players 10 years Data since 2010 “Data are becoming the new raw material of business: an economic input almost on a par with capital and labor.” —The Economist, 2010 “Information will be the ‘oil of the 21st century.’” —Gartner, 201044
  5. 5. What is Big Data? Traditional Data Big Data Volume Gigabytes to Terabytes Petabytes and beyond Velocity Occasional Batch – Real-Time Data Analytics Complex Event Processing Variety Centralized, Structured Distributed, i.e. Database Unstructured Multi-format Vast Amounts of Information; Virtually Free55
  6. 6. Why is Big Data Important? Smart City Project: Up to 50% Decrease Improve Public Safety, in Product Boost Economic Development and Growth Assembly Costs1 Online Retailer Generate Revenue Generated 30% of from Data Analytics of Sales Due to Analytics B2B Sales? Driven Recomendations1 Data is the Raw Material of the Information Age1::McKinsey Global Institute Analysis66 *Other brands and names are the property of their respective owners.
  7. 7. Big Data Solutions: VolumeTraditional Storage Distributed Storage Architecture Application Servers Application Ten 9’s Durability & 50% Lower TCO Storage Client Metadata Storage Servers Servers SAN Storage Metadata (Storage Area Services Services Network) 1000s of Nodes & >200GB’s/sec Performance77 *Other brands and names are the property of their respective owners.
  8. 8. Big Data Solutions: Velocity In Memory Analytics Network Edge Analytics Stream Processing Analysis & Decision Support Applications Search and Analysis of 53 Million Customer Records: Analyze Data as its Collected to From 2-3 Hours to 2-3 Seconds!1 Make Near Real-time Decisions881: Hilti Corporation case study *Other brands and names are the property of their respective owners.
  9. 9. Big Data Solutions: Variety Unstructured Emerging Analytical Paradigms Multi-format Data Technologies Structured Data Relational Database EXALYTICS99 *Other brands and names are the property of their respective owners.
  10. 10. The Challenges of Big Data Massive scale and growth of unstructured data  80%~90% of total data Volume  Growing 10x~50x faster than structured (relational) data  10x~100x of traditional data warehousing Realtime rather than batch-style analysis Velocity  Data streamed in, tortured, and discarded  Making impact on the spot rather than after-the-fact Heterogeneity and variable nature of Big Data  Many different forms (text, document, image, video, ...) Variety  No schema or weak schema  Inconsistent syntax and semantics1010
  11. 11. Big Data is Different from Traditional Data New Workloads/Methodologies to Design New Platforms Processing Data Management Analytics Real-time Analytics Distributed Analytics Scale-up Distributed Processing Speed Platform Hierarchy Descriptive Analytics Predictive/Prescriptive Analytics Relational Database NoSQL and NewSQL (SQL) Data Warehouse Flexible Scale-Out Schema Cluster Platform Batch-style Analytics 1x 10x 100x Volume Traditional Data Big Data1111
  12. 12. The Major Source of Sensed Data Internet of Things (IoT) and Smart City Internet of Things (IoT) is a major source Most IoT apps are relevant for sensed data to Smart City, funded by governments Intelligence Environment Protection (Processing) Smart Agriculture Smart Logistics Interconnect Public Safety (Communication) E-Health Intelligence Intelligent Transportation (Control) Smart Home Smart Grid Instrumentation Industrial Automation (Sensing)1212 Source: GreatWall Strategy Consultants
  13. 13. Intel’s Role in Big Data1313
  14. 14. Intel’s Role in Big Data Accelerating big data analytics through faster and more effective CPU, Storage, I/O, Network platform. Driving innovation in big data applications by providing optimized software stack and services. Foster the growth of big data ecosystem through broad collaboration with partners. Investing in Solution Research and Services for Big DataData of any type, under any provisioning method, is analyzed to find insights that drive business, social, and ecological value.1414
  15. 15. Universal Insights Instant analysis at every level, from the sensor to the datacenter Visualization & Interpretation Streaming [Un]Structured Batch Horizontal & Vertical Scale E7 Analytics Analytics Data E5 Data Acquisition Microserver E3 Local Analytics Complex Event Processing Analytics Processing Preprocessing/ Storage Cleansing/Filtering/ Aggregation Horizontal Scale Data Acquisition Video Analytics Sensors Cameras1515
  16. 16. Immediate Insights Intel builds performance customized and optimized extreme solutions to drive immediate insights and discoveries. From Telecoms, to Financial Services, to Smart cities, Manufacturing and Healthcare, Intel delivers robust security and trusted extreme performance computing, software, storage and network solutions customized and optimized for every industry; leading to insights and discoveries that better our world.1616
  17. 17. Insights for everyone New analytics economics through scale and standards. Smart Building Smart Grid sensors sensors Industrial Automation Pollution sensors sensors Meteorological Smart sensors meters INTELLIGENT CITY INTELLIGENT FACTORY INTELLIGENT INTELLIGENT HOSPITAL HIGHWAY Sensors on Inductive Traffic cameras Portable medical Medical sensors Smartphone Sensors on sensors imaging services on ambulances Vehicles Intel’s open platforms, open software, open standards approach and industry leadership will drive down the cost and drive up the pace of innovation, putting affordable Big Data analytical capabilities within everyone’s reach.1717
  18. 18. Summary 1  Big Data is here and growing rapidly 2  Intel is well positioned from a software stack and platform basis 3  Intel is committed to investing in new technology to address more demanding big data requirements of the future1818
  19. 19. BACKUP1919
  20. 20. Legal DisclaimerINFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TOANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTELS TERMS AND CONDITIONS OF SALE FOR SUCHPRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTELPRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT,COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT.• A "Mission Critical Application" is any application in which failure of the Intel Product could result, directly or indirectly, in personal injury or death. SHOULD YOU PURCHASE OR USE INTELS PRODUCTS FOR ANY SUCH MISSION CRITICAL APPLICATION, YOU SHALL INDEMNIFY AND HOLD INTEL AND ITS SUBSIDIARIES, SUBCONTRACTORS AND AFFILIATES, AND THE DIRECTORS, OFFICERS, AND EMPLOYEES OF EACH, HARMLESS AGAINST ALL CLAIMS COSTS, DAMAGES, AND EXPENSES AND REASONABLE ATTORNEYS FEES ARISING OUT OF, DIRECTLY OR INDIRECTLY, ANY CLAIM OF PRODUCT LIABILITY, PERSONAL INJURY, OR DEATH ARISING IN ANY WAY OUT OF SUCH MISSION CRITICAL APPLICATION, WHETHER OR NOT INTEL OR ITS SUBCONTRACTOR WAS NEGLIGENT IN THE DESIGN, MANUFACTURE, OR WARNING OF THE INTEL PRODUCT OR ANY OF ITS PARTS.• Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked "reserved" or "undefined". Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information.• The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request.• Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families. Go to:• Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order.• Copies of documents which have an order number and are referenced in this document, or other Intel literature, may be obtained by calling 1-800-548-4725, or go to:• Intel, Sponsors of Tomorrow and the Intel logo are trademarks of Intel Corporation in the United States and other countries.• *Other names and brands may be claimed as the property of others.• Copyright ©2012 Intel Corporation.2020
  21. 21. Risk Factors The above statements and any others in this document that refer to plans and expectations for the first quarter, the year and the future are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “plans,” “believes,” “seeks,” “estimates,” “may,” “will,” “should” and their variations identify forward-looking statements. Statements that refer to or are based on projections, uncertain events or assumptions also identify forward-looking statements. Many factors could affect Intel’s actual results, and variances from Intel’s current expectations regarding such factors could cause actual results to differ materially from those expressed in these forward-looking statements. Intel presently considers the following to be the important factors that could cause actual results to differ materially from the company’s expectations. Demand could be different from Intels expectations due to factors including changes in business and economic conditions, including supply constraints and other disruptions affecting customers; customer acceptance of Intel’s and competitors’ products; changes in customer order patterns including order cancellations; and changes in the level of inventory at customers. Uncertainty in global economic and financial conditions poses a risk that consumers and businesses may defer purchases in response to negative financial events, which could negatively affect product demand and other related matters. Intel operates in intensely competitive industries that are characterized by a high percentage of costs that are fixed or difficult to reduce in the short term and product demand that is highly variable and difficult to forecast. Revenue and the gross margin percentage are affected by the timing of Intel product introductions and the demand for and market acceptance of Intels products; actions taken by Intels competitors, including product offerings and introductions, marketing programs and pricing pressures and Intel’s response to such actions; and Intel’s ability to respond quickly to technological developments and to incorporate new features into its products. Intel is in the process of transitioning to its next generation of products on 22nm process technology, and there could be execution and timing issues associated with these changes, including products defects and errata and lower than anticipated manufacturing yields. The gross margin percentage could vary significantly from expectations based on capacity utilization; variations in inventory valuation, including variations related to the timing of qualifying products for sale; changes in revenue levels; product mix and pricing; the timing and execution of the manufacturing ramp and associated costs; start-up costs; excess or obsolete inventory; changes in unit costs; defects or disruptions in the supply of materials or resources; product manufacturing quality/yields; and impairments of long-lived assets, including manufacturing, assembly/test and intangible assets. The majority of Intel’s non-marketable equity investment portfolio balance is concentrated in companies in the flash memory market segment, and declines in this market segment or changes in management’s plans with respect to Intel’s investments in this market segment could result in significant impairment charges, impacting restructuring charges as well as gains/losses on equity investments and interest and other. Intels results could be affected by adverse economic, social, political and physical/infrastructure conditions in countries where Intel, its customers or its suppliers operate, including military conflict and other security risks, natural disasters, infrastructure disruptions, health concerns and fluctuations in currency exchange rates. Expenses, particularly certain marketing and compensation expenses, as well as restructuring and asset impairment charges, vary depending on the level of demand for Intels products and the level of revenue and profits. Intel’s results could be affected by the timing of closing of acquisitions and divestitures. Intels results could be affected by adverse effects associated with product defects and errata (deviations from published specifications), and by litigation or regulatory matters involving intellectual property, stockholder, consumer, antitrust and other issues, such as the litigation and regulatory matters described in Intels SEC reports. An unfavorable ruling could include monetary damages or an injunction prohibiting us from manufacturing or selling one or more products, precluding particular business practices, impacting Intel’s ability to design its products, or requiring other remedies such as compulsory licensing of intellectual property. A detailed discussion of these and other factors that could affect Intel’s results is included in Intel’s SEC filings, including the report on Form 10-Q for the quarter ended Oct. 1, 2011. Rev. 1/19/122121