Google and big query


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Google and big query

  1. 1. Big Data, Fast InsightsBigQuery overviewAnish MalhotraHead of Sales Engineering, Asia
  2. 2. Established technology trends By 2016, 50% of global 1,000 companies will have stored customer Cloud sensitive data in the public cloud. Source: Gartner, 2012 96% of the US population has a mobile Mobile phone, 40% now own a smartphone. Source: Google, 2012 1 in 3 young professionals prioritize choice Social of devices, apps and social tools above salary. Source: CISCO, 2011
  3. 3. Gartner Nexus of Forces InformationA Gartner concept describing the Cloud Socialfour forces that they believe willcombine to create a new era of computing and new opportunities for business. Mobile Enterprise
  4. 4. Google = Strategic Partner Information Search ApplianceGoogle has all the key pieces to Cloud Storage be the centre of IT change YouTube moving forward. Google Apps App Engine Driving force behind the next Cloud Social Drive generation of IT change. Google+Our culture is open and agile and Compute Engine Maps allows for rapid technology development that is market Latitude Chrome OS driven. Android Chrome Mobile Enterprise
  5. 5. Google confidential | Do not distribute
  6. 6. Build - The Google Cloud Platform Build Compute Store Analyze Google Google Compute Google Google Cloud Storage BigQuery App Engine Engine Powerful, scalable Full Linux virtual Store, access, and Analyze terabytes of data application development machines running on manage your data. in seconds. and execution Googles infrastructure. environment. Google Cloud SQL & NoSQL
  7. 7. Enterprise class Scalability Availability Serve any number of users Data replicated in multiple data centers 99.9% Reliability Premium Support 99.9% SLA Paid support from Google engineers
  8. 8. 5MBusinesses Google confidential | Do not distribute
  9. 9. Value of Transformation Collaboration, Innovation, Culture Corporate Transformation, Coaching, Virtual Teams Engagement, Speed, Flexibility, Talent Retention Process Agility, Business Functional Training, Change Management, Adapt Processes Productivity Gains, Mobility, Knowledge Discovery Lower TCO, lower CapEx, Technology Data Migration, Deployment, Integration Technology Refresh, Feature Upgrades
  10. 10. BigData Next Frontier forInnovation, competition and Productivity BigData - Capturing its value "60% potential increase in retailers operating margins possible with BigData" "$600 billion potential annual consumer surplus from using location data globally""$300 billion potential annual value to US health care .... more than double the total annual healthcare spending for Greece". Source: McKinsey and Company
  11. 11. BigData is Strategic: Potential for Big Value creationWho is incharge of BigData Topic? Given C level visibility, organizations understand strategic nature of BigData
  12. 12. Treasure Trove of Data: Every Process, EveryInteraction IDC: 40% CAGR in Twitter: Now over NCBI GenBank: Protein sequences digital information 50M tweets per day double every 18 months 34,722 tweets/min … with new data sources and data types Devices Statistics phones, vehicles, set-top boxes, open government / public transparency power meters, RFID, GPS Social Enterprise interactions, behaviors, web analytics, customer database user generated content marketing, business operations
  13. 13. BigData Challenges AheadBUT......
  14. 14. BigData Challenges Ahead85% of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage through 2015. Predicts 2012: Four Forces Combine to Transform the IT Landscape
  15. 15. BigData reality today Information growing faster than ability to leverage it Most organizations cant capture all generated data Many organizations not equipped for big data Traditional BI doesnt scale to big data Few solutions accessible to most organizations Data is a core business asset Data is a competitive advantage
  16. 16. BigData Key Challenges
  17. 17. Google BigData Innovations 2002 2004 2006 2008 2010 2012 GFS MapReduce BigTable Dremel Colossus NoSQL Google BigQuery Google Cloud Storage
  18. 18. Google BigQuery
  19. 19. BigData Analytics Cloud PlatformBigQuery: a fully-managed data analytics service in the cloud.Unlimited storage. Interactive analysis on multi-terabyte datasets.Adwords Other BIDCLK ToolsAnalytics Google Spreadsheets App Engine Scalable Storage App SQL APICorporate data Co-Workers3rd party data Store all your data Analyze interactively Securely Share/ in the cloud Mash it up distribute the results
  20. 20. Store and analyze data:Its scalable, high performing and hassle-free Unparalleled scale and performance "We explored several data analytics solutions. Nothing comes remotely close to the sheer power of Google BigQuery. It made large-scale data collection and crunching possible with little effort, which has translated to a significant business advantage." - Pradeep Kumar, Technical Architect Redbus Business Intelligence Dashboards “Google BigQuery Service makes it possible to examine millions of records in seconds. Speed is an essential part of our application, and BigQuery Service gives us that.” – Richard Verhoeff, Founder, Crystalloids Innovations Google Innovation Advantage “Google’s infrastructure gives us incredible data processing capabilities with little effort on our part. BigQuery lets us perform analyses on the fly and receive answers in seconds. We know that as our customer base grows, the system will scale with us.” —Thyago Liberalli, Chief Technology Officer, Boo-box
  21. 21. BigQuery: Ever Expanding Ecosystem of Partners
  22. 22. Takeaways for businessFor the line-of-business The more you can ask, the smarter your questions become Data mashups can unlock new business insights Democratizing data analysis can improve decision makingFor IT Store all the data, analyze & join it later Hybrid works - ramp up with a mix of cloud & on-prem Use the web to set data free - build apps on dataMore on BigQuery https.// on Google services
  23. 23. Thank You