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Datazoom | A powerful data pipeline to improve your video insights
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Datazoom is the industry-leading video data platform which can help improve your data pipeline, ad revenue, and observability
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Datazoom | A powerful data pipeline to improve your video insights
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2022-05-05 18:37:53

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2022-05-05 18:37:53

Skip to contentSolutionsAdvertisingMonitoringObservabilityPlatformOptimize the DataEnrichSampleStandardizeDeliverSee How It WorksAd Error DetectionData Collection for ObservabilityCDN and Player Monitoring for QoEBuild the Business CaseIntegrationsData CollectorsData ConnectorsPartnersBecome a Datazoom PartnerAmplitudeDatadogGoogle Looker/BigQueryNew RelicSplunkResourcesCase StudiesCompare DatazoomAgainst Popular Analytics ToolsIn-depth: Vs. AdobeIn-depth: Vs. ConvivaIn-depth: Vs. MUXIn-depth: Vs. NPAWDatazoom BlogDatatectureDictionaries and EncyclopediasCDN DataVideo Player DataVideo Metrics EncyclopediaGuides and WhitepapersImprove Streaming ObservabilityAn OTT Product Leader’s GuideNewsTech BlogWebinarsLoginGet StartedThe Video Data PlatformImproving the experience, efficiency, and profitability of streaming video requires data. Datazoom enables video publishers to better operate distributed architectures through centralizing, standardizing, and integrating data in real-time to create a more powerful data pipeline and improve observability, adaptability, and optimization solutions.Datazoom is a video data platform which continually gathers data from endpoints, like a CDN or a video player, through an ecosystem of collectors. Once the data is gathered, it is normalized using standardized data definitions. This data is then sent through available connectors to analytics platforms like Google BigQuery, Google Analytics, and Splunk and can be visualized in tools such as Looker and Superset. Datazoom is your key to a more effective and efficient data pipeline.01What Can Datazoom Do For Your Data Pipeline?Increase Speed of Issue ResolutionGet the data you need in real-time. Don’t wait for your data when you need to resolve an issue immediately.Learn MoreGet Data Consistency Across SourcesUse the Datazoom data dictionaries to automatically standardize variable names across sources.Learn MoreReduce Data Post-ProcessingEnrich data gathered through collectors to reduce the need for table-relating and post-processing.Learn MoreSave Resources on Data Processing It costs time and money to process big data sets. Select samples instead to analyze  faster and cheaper.Learn More02Datazoom Is More Than Just TechnologyHow The Platform Improves Your Data PipelineThe Datazoom self-service platform is easily accessed and managed through an intuitive drag-and-drop portal. With some basic configuration settings for each connector and collector placed onto the canvas, you can be up-and-running in just a matter of minutes, on your way to a better data pipeline.Step 1: CollectGather Data From EndpointsVia the Datazoom Collectors Library, you specify from where in the video stack you want to collect data. It could be a CDN. It could be a player. It could be both, or neither. Collectors make gathering the insight you need for your data pipeline plug-and-play.Step 2: Standardize and EnrichReduce Data Post-ProcessingDatazoom standardizes incoming data according to our Data Dictionaries which serve as a data language and provide a common definition resource. Our Data Dictionaries enforce CTA-2066 and CTA-5004 video data standards. You can also enrich a captured event with data from another source. All of this cuts down on post-processing for a more efficient data pipeline.Step 3: DistributeSend Your Data Where It Needs to GoVia the Datazoom Connector library, you can send your data to common third party tools such as BigQuery, Splunk, Google Analytics, Amplitude, or even a custom system. New Connectors are continually being added to make building your data pipeline even easier.03Normalize Your Data Before It Gets To Your Visualization Tools For Faster And Better ObservabilityData DictionaryThe Datazoom Data Dictionary is a powerful component of the platform. These event, metadata, and fluxdata metrics power the Datazoom platform normalization capabilities. Without data normalization, without standardizing similar elements from different data sources against a common lexicon, your observability will be hampered by the need to spend valuable time and resources post-processing data.CastingThis metadata value indicates if the player is currently in “casting mode” where the content being viewed will be displayed on an external device.Find Out More04A Growing Library of Integrations To Build a Better Data Pipeline, Faster.Ecosystem Get the video data you need to power Observability & OptimizationCapture, Standardize, Deliverrequest a demoCOLLECTORS THEOPlayer Akamai Web Player Vimeo Android (MediaPlayer Framework) Video.jsSee All CollectorsCONNECTORS Snowflake Datadog New Relic Amazon S3 Google Cloud StorageSee All ConnectorsABOUTBug BountyContactLeadershipMedia KitSupportMenuBug BountyContactLeadershipMedia KitSupportLEGAL RESOURCESLegal Documents and NoticesMenuLegal Documents and Notices© 2021, Datazoom, Inc. All rights reservedLinkedinTwitterInstagram.cmplz-blocked-content-container.recaptcha-invisible,.cmplz-blocked-content-container.g-recaptcha {max-width: initial !important;height: 80px !important;margin-bottom: 20px;}@media only screen and (max-width: 400px) {.cmplz-blocked-content-container.recaptcha-invisible,.cmplz-blocked-content-container.g-recaptcha {height: 100px !important}}.cmplz-blocked-content-container.recaptcha-invisible .cmplz-blocked-content-notice,.cmplz-blocked-content-container.g-recaptcha .cmplz-blocked-content-notice {max-width: initial;padding: 7px;}Scroll to TopLearn How to Improve Your Streaming Service Through Better DataDownload this exciting new whitepaper to improve your observability and build a better streaming service.Download the Paper.dce-visibility-element-hidden,.dce-visibility-widget-hidden,.dce-visibility-column-hidden,.dce-visibility-section-hidden{display:none}.dce-visibility-element-hidden.elementor-widget-dyncontel-panorama{display:block;position:fixed;left:10000px}.dce-btn-visibility{position:absolute;top:15px;background-color:#e52600;color:#fff;border-radius:50%;line-height:1;padding:9px;font-size:15px;box-shadow:0 0 20px rgba(0,0,0,.3)!important;border:3px solid #fff;z-index:10000000;transform:translate(-50%,-50%);left:50%}.dce-btn-visibility:hover{color:#000!important}.elementor-editor-active .dce-btn-visibility{margin-left:20px}.dce-box-visibility-debug{display:none;position:absolute;top:0;left:50%;background-color:#e52600;color:#FFF;border-radius:3px;line-height:1;text-align:left;z-index:10;padding:10px;margin:-10px 0 0 34px;min-width:150px}.dce-box-visibility-debug:before{content:'';display:block;width:0;height:0;border-style:solid;border-width:10px 0 10px 10px;border-color:transparent transparent #e52600 transparent;position:absolute;bottom:100%;left:-10px;top:4px}.elementor-editor-active .dce-box-visibility-debug:before{left:22px}.dce-box-visibility-debug ul{list-style:none;margin:0}.dce-visibility-widget-hidden-debug{min-height:10px}