Beautiful Data

From the contents:Chapter 1 Seeing Your Life in DataPersonal Environmental Impact Report (PEIR)your.flowingdata (YFD)Personal Data CollectionData StorageData ProcessingData VisualizationThe PointHow to ParticipateChapter 2 The Beautiful People: Keeping Users in Mind When Designing Data Collection MethodsIntroduction: User Empathy Is the New BlackThe Project: Surveying Customers About a New Luxury ProductSpecific Challenges to Data CollectionDesigning Our SolutionResults and ReflectionChapter 3 Embedded Image Data Processing on MarsAbstractIntroductionSome BackgroundTo Pack or Not to PackThe Three TasksSlotting the ImagesPassing the Image: Communication Among the Three TasksGetting the Picture: Image Download and ProcessingImage CompressionDownlink, or, It's All Downhill from HereConclusionChapter 4 Cloud Storage Design in a PNUTShellIntroductionUpdating DataComplex QueriesComparison with Other SystemsConclusionAcknowledgmentsReferencesChapter 5 Information Platforms and the Rise of the Data ScientistLibraries and BrainsFacebook Becomes Self-AwareA Business Intelligence SystemThe Death and Rebirth of a Data WarehouseBeyond the Data WarehouseThe Cheetah and the ElephantThe Unreasonable Effectiveness of DataNew Tools and Applied ResearchMAD Skills and CosmosInformation Platforms As DataspacesThe Data ScientistConclusionChapter 6 The Geographic Beauty of a Photographic ArchiveBeauty in Data: GeographVisualization, Beauty, and TreemapsA Geographic Perspective on Geograph Term UseBeauty in DiscoveryReflection and ConclusionAcknowledgmentsReferencesChapter 7 Data Finds DataIntroductionThe Benefits of Just-in-Time DiscoveryCorruption at the Roulette WheelEnterprise DiscoverabilityFederated Search Ain't All ThatDirectories: PricelessRelevance: What Matters and to Whom?Components and Special ConsiderationsPrivacy ConsiderationsConclusionChapter 8 Portable Data in Real TimeIntroductionThe State of the ArtSocial Data NormalizationConclusion: Mediation via GnipChapter 9

Toby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences.

Jeff Hammerbacher is the Vice President of Products and Chief Scientist at Cloudera. Jeff was an Entrepreneur in Residence at Accel Partners immediately prior to joining Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. The Data team was responsible for driving many of the statistics and machine learning applications at Facebook, as well as building out the infrastructure to support these tasks for massive data sets. The team produced several academic papers and two open source projects: Hive, a system for offline analysis built above Hadoop, and Cassandra, a structured storage system on a P2P network. Before joining Facebook, Jeff was a quantitative analyst on Wall Street. Jeff earned his Bachelor's Degree in Mathematics from Harvard University.