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Strata Conference Santa Clara 2012: Complete Video Compilation

Video Description

The future clearly belongs to those who understand how to collect and use their data successfully—and the time to get started is now. At the Strata Conference, people from tech, marketing, and many other fields gathered to learn the latest skills, tools, and technologies for making a data-driven business work. This video compilation offers you a front row seat for every tutorial, session, and keynote at the conference.

Table of Contents

  1. Strata Conference 2012: Day 1
    1. SQL and NoSQL Are Two Sides Of The Same Coin 00:40:14
    2. From Knowing 00:42:20
    3. The Model and the Train Wreck: A Training Data How-to 00:25:38
    4. Corpus Bootstrapping with NLTK 00:15:16
    5. The Importance of Importance: An Introduction to Feature Selection 00:28:01
    6. Social Network Analysis Isn't Just For People 00:40:26
    7. Array Theory vs. Set Theory in Managing Data 00:45:17
    8. Survival Analysis for Cache Time-to-Live Optimization 00:28:34
    9. The Data Science Debate 00:58:01
    10. Introduction to Apache Hadoop Part 1 00:55:28
    11. Introduction to Apache Hadoop Part 2 00:38:37
    12. Introduction to Apache Hadoop Part 3 00:30:56
    13. Introduction to Apache Hadoop Part 4 00:33:42
    14. The Two Most Important Algorithms in Predictive Modeling Today Part 1 00:34:51
    15. The Two Most Important Algorithms in Predictive Modeling Today Part 2 00:37:08
    16. The Two Most Important Algorithms in Predictive Modeling Today Part 3 00:54:22
    17. The Two Most Important Algorithms in Predictive Modeling Today Part 4 00:58:29
    18. Large scale web mining Part 1 00:45:09
    19. Large scale web mining Part 2 00:44:41
    20. Large scale web mining Part 3 00:40:05
    21. The Craft of Data Journalism Part 1 00:37:53
    22. The Craft of Data Journalism Part 2 00:45:31
    23. The Craft of Data Journalism Part 3 00:38:45
    24. The Craft of Data Journalism Part 4 00:47:14
    25. Big Data Without the Heavy Lifting Part 1 00:42:44
    26. Big Data Without the Heavy Lifting Part 2 00:31:29
    27. Big Data Without the Heavy Lifting Part 3 00:38:37
    28. Big Data Without the Heavy Lifting Part 4 00:33:36
    29. Big Data Entity Extraction With Less Work and Less Code Part 1 00:42:39
    30. Big Data Entity Extraction With Less Work and Less Code Part 2 00:33:58
    31. Big Data Entity Extraction With Less Work and Less Code Part 3 00:47:59
    32. Big Data Entity Extraction With Less Work and Less Code Part 4 00:32:57
    33. Introduction to R for Data Mining Part 1 00:48:19
    34. Introduction to R for Data Mining Part 2 00:43:43
    35. Introduction to R for Data Mining Part 3 00:47:00
    36. Introduction to R for Data Mining Part 4 00:53:26
    37. Building Applications with Apache Cassandra Part 1 00:19:17
    38. Building Applications with Apache Cassandra Part 2 00:48:23
    39. Building Applications with Apache Cassandra Part 3 00:28:36
    40. Building Applications with Apache Cassandra Part 4 00:34:09
    41. Hadoop Data Warehousing with Hive Part 1 00:49:13
    42. Hadoop Data Warehousing with Hive Part 2 00:40:25
    43. Hadoop Data Warehousing with Hive Part 3 1:32:01
    44. Hadoop Data Warehousing with Hive Part 4 00:42:24
    45. Hands-on Visualization with Tableau Part 1 00:57:09
    46. Hands-on Visualization with Tableau Part 2 00:30:31
    47. Hands-on Visualization with Tableau Part 3 00:36:43
    48. Hands-on Visualization with Tableau Part 4 00:30:07
    49. Designing Data Visualizations Workshop Part 1 00:46:47
    50. Designing Data Visualizations Workshop Part 2 00:27:29
    51. Designing Data Visualizations Workshop Part 3 00:59:10
    52. Designing Data Visualizations Workshop Part 4 00:38:52
    53. Developing applications for Apache Hadoop Part 1 00:45:50
    54. Developing applications for Apache Hadoop Part 2 00:49:22
    55. Developing applications for Apache Hadoop Part 3 00:45:27
    56. Developing applications for Apache Hadoop Part 4 00:35:12
    57. What Marketers Can Learn From Analysts 00:41:20
    58. Jumpstart Welcome 00:11:56
    59. Big Data and Supply Chain Management: Evolution or Disruptive Force? 00:37:41
    60. Ammunition for the CFO: How to be a Hard-Nosed Business Customer for Analytics 00:25:32
    61. 3 Essential Skills of a Data Driven CEO 00:25:24
    62. Business Intelligence: What have we been missing? 00:33:57
    63. Do it Right: Proven Techniques for Exploiting Big Data Analytics 00:18:24
    64. The Business of Big Data 00:53:27
    65. Big Data, Serious Games, and the Future of Work 00:22:04
    66. It's Not Just About the Data......the Power of Driving Impact Through Intent and Interconnectedness 00:24:14
    67. Wrap-up Session 00:32:50
  2. Strata Conference 2012: Day 2
    1. The Apache Hadoop Ecosystem 00:10:38
    2. Decoding the Great American ZIP myth 00:10:30
    3. Guns, Drugs and Oil: Attacking Big Problems with Big Data 00:09:21
    4. Machine Learning and Big Data: Sustainable Value or Hype? 00:06:43
    5. Learning Analytics: What Could You Do With Five Orders of Magnitude More Data About Learning? 00:06:07
    6. A Big Data Imperative: Driving Big Action 00:15:29
    7. The Information Architecture of Medicine is Broken 00:15:22
    8. Do We Have The Tools We Need To Navigate The New World Of Data? 00:13:04
    9. Street Fighting Data Science 00:36:57
    10. Data Ingest, Linking, and Data Integration via Automatic Code Generation 00:38:13
    11. Disambiguation: Embrace wrong answers and find truth 00:31:43
    12. Netflix recommendations: beyond the 5 stars 00:48:58
    13. Data Science in Product Development 00:27:58
    14. Mo' Data, Mo' Problems 00:32:12
    15. Business Management Strategies for Big Data 00:46:24
    16. Becoming a Data-Driven Organization 00:36:34
    17. Building a Data Strategy: Data Enabling Toys at Leapfrog 00:40:38
    18. Analytics in a Community-Driven Fashion Retailer 00:36:19
    19. Data Science in Marketing Analytics 00:30:59
    20. Science of Visualization 00:42:14
    21. Effective Data Visualization 00:39:04
    22. Building a Data Narrative: Discovering Haight Street 00:38:43
    23. Crafting Meaningful Data Experiences 00:24:26
    24. Roll Your Own Front End: A Survey of Creative Coding Frameworks 00:41:44
    25. Sketching With Data 00:32:58
    26. The Future of Hadoop: Becoming an Enterprise Standard 00:35:20
    27. Hadoop + JavaScript: what we learned 00:39:06
    28. Architecting Virtualized Infrastructure for Big Data 00:45:33
    29. Aggregating and serving local places data and ads at Citygrid 00:46:38
    30. Exploring Social Data: Use Cases for Real-World Application 00:35:35
    31. Understanding Social Contagion 00:36:33
    32. Changing Data Standards from Wall Street to DC and Beyond 00:45:47
    33. Big Data: Wall Street Style 00:40:23
    34. Big Data = Bigger Metadata 00:37:49
    35. Linked Data: Turning the Web into a Context Graph 00:33:28
    36. Data as a Strategic Weapon - Walmart, Netfix and Apigee Panel Discussion 00:42:18
    37. Creating Real Business Value with Big Data Analytics 00:46:07
    38. Getting the Most from Your Hadoop Big Data Cluster 00:39:20
    39. Amazon DynamoDB: A seamlessly scalable NoSQL service 00:43:09
    40. Turning Big Data Into Competitive Advantage 00:37:56
    41. Unleash Insights On All Data With Microsoft Big Data 00:46:02
    42. SQLFire - An Ultra-fast, Memory-optimized Distributed SQL Database 00:43:27
    43. MapReduce for the Rest of Us: Unlocking Data Science for the Business User 00:34:28
    44. Automated Understanding - The Next Evolution in Big Data Analytics 00:41:42
    45. RHadoop, R meets Hadoop 00:35:09
    46. Monitoring Apache Hadoop - a big data problem? 00:31:31
    47. How to develop Big Data Pipelines for Hadoop 00:38:57
    48. How Crunch Makes Writing, Testing and Running of MapReduce Pipelines Easy, Efficient and Even Fun! 00:46:08
    49. Analyzing Hadoop Source Code with Hadoop 00:37:08
    50. Strata 2012 Startup Showcase 00:04:30
  3. Strata Conference 2012: Day 3
    1. Democratization of Data Platforms 00:07:30
    2. 5 Big Questions about Big Data 00:09:32
    3. The Trouble with Taste 00:08:25
    4. Embrace the Chaos 00:09:56
    5. Open Data and the Internet of Things 00:10:34
    6. Big Data's Next Step: Applications 00:05:48
    7. Heritage Provider Network, Announces the Winner of the Second Heritage Health Progress Prize 00:04:10
    8. Using Google Data for Short-term Economic Forecasting 00:15:16
    9. Is this normal? Finding anomalies in real-time data 00:34:20
    10. From Predictive Modeling to Optimization: The Next Frontier 00:35:12
    11. Mining Unstructured Data: Practical Applications 00:34:11
    12. Migratory data: the distributed data you carry with you 00:42:25
    13. Humans, Machines, and the Dimensions of Microwork 00:43:12
    14. Big Data and Bibliometrics: Crowdsourcing the World's Largest Database of Research 00:31:38
    15. Democratizing BI at Microsoft: 40,000 Users and Counting 00:41:04
    16. Mining the Eventbrite Social Graph for Recommending Events 00:47:30
    17. Data Jujitsu: The Art of Turning Data into Product 00:44:48
    18. Data Marketplaces for your extended enterprise: Why Corporations Need These to Gain Value from Their Data 00:46:26
    19. Big Data Meets Big Weather 00:43:47
    20. Improving Productivity Using Real-Time Data 00:37:25
    21. Video Graphics - Engaging and Informing 00:41:07
    22. Rich Sports Data and Augmented Reality 00:41:05
    23. Visualizing Geo Data 00:42:05
    24. Beautiful Vectors: Emerging Geospatial technologies in the browser 00:38:47
    25. From Big Data to Big Insights 00:43:01
    26. Exploring the Stories Behind the Data 00:41:00
    27. Hadoop Analytics in Financial Services 00:32:01
    28. Using Map/Reduce To Speed Analysis of Video Surveillance 00:34:03
    29. Beyond Map/Reduce: Getting Creative With Parallel Processing 00:38:26
    30. Petabyte Scale, Automated Support for Remote Devices 00:39:10
    31. Big Analytics Beyond the Elephants 1:00:21
    32. If Data Wants to Be Free, is Privacy a Prison? 00:40:51
    33. Pretty Simple Data Privacy 00:42:21
    34. OODA Loop: How to Understand the Use Cases for Big Data 00:43:21
    35. It's Not 00:42:42
    36. Big Data for the Common Good 00:42:49
    37. Personalized Medicine and Individual Cancer Care, it is a data problem 1:00:26
    38. Solving big data analytics with an emerging data-centric language 00:35:36
    39. Big Data and Machine Learning: A Reality Check 00:40:09
    40. Big Data Big Costs? 00:40:24
    41. Big Data Meets the Big Cloud: How To Monitor Thousands of Servers 00:39:18
    42. Big Data and the Social Firehose 00:40:04
    43. Big Data Applications in Action 00:30:41
    44. Start Innovating! Crowdsourcing and Big Data 00:41:22
    45. Apache Cassandra: NoSQL Applications in the Enterprise Today 00:41:34
    46. Storm: distributed and fault-tolerant realtime computation 00:47:31
    47. Analytics from 330 million smartphones 00:43:09
    48. Connecting Millions of Mobile Devices to the Cloud 00:24:59
    49. Open Source Ceph Storage: Scaling from Gigabytes to Exabytes with Intelligent Nodes 00:40:32
    50. Mapping social media networks (with no coding) using NodeXL 00:41:43