André Karpištšenko, Co-Founder & Chief Scientist, Marinexplore Strata,
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1 marineos André Karpištšenko, Co-Founder & Chief Scientist, Marinexplore Strata, The Ocean's Big Data Platform marineos: a platform for organizing, analyzing and distributing machine data marineos
2 Platform Overview Use Cases marineos Value Proposition Architecture marineos!
3 Fast insight without expensive software licenses Visualize devices and trajectories Heat map overlays (temp, sal, etc.) Quiver plots (winds, waves, currents) High Frequency Radar surface currents Graphs - track measurement values Interactive ADCP profiles marineos!
4 The Power of Integrated Web Tools Data Manager Control and organize data Connect devices and models Manage projects and user rights Distribute projects and data Monitor key metrics Data Studio Access public and private data Explore and visualize data Aggregate diverse data Build custom offline datasets Online access via API Data Browser Fastest way to external ocean data Well-organized directory Input from professionals 41,000+ data streams 31 institutions marineos!
5 Access API from 3rd Party Software Pydap ODV IDV ncbrowser netdcf4-python panoply by NASA WMS WFS WMTS Interoperable architecture supporting major data protocols, formats, tools and integration with large numerical simulations.! Leverage existing investments into data infrastructure. marineos!
6 Platform Overview Use Cases marineos Value Proposition Architecture marineos!
7 The ocean industry and governments rely on ocean data Speed and quality of decision-making is critical SHIPPING DEFENSE AND SECURITY Data collection, route planning, fuel efficiency, climatologies Strategic planning, fleet control, surveillance, CAPEX OIL AND GAS FEDERAL GOVERNMENTS Env. impact assessment, incident response, spatial analysis Data collection, coast guard, weather and climatology, etc. FISHERIES AND ENVIRONMENTAL INSURANCE AND HEDGE FUNDS Event detection, volume assessment, traffic in marine areas Risk modeling, policy issuance, event analysis, targeting marineos!
8 Example: Improving Ocean Operations. Aggregating Metocean Data Improves Ship Routing Shipping Fleet Data Optimal routing Ocean nowcast API marineos marineos!
9 Example: Improving Ocean Operations. Avoiding ship collisions with the North Atlantic Right Whales Improved rate of whale detection model 72% 98% marineos!
10 Growth of Diverse, Machine-Generated Spatio-Temporal Data Buildup across diverse industries on land, sea, air and space Weather Hyperlocal real-time predictions! Climate Accuracy of extreme events Agriculture Yield assessment & planning! Oil & Gas Incident monitoring & response Space Private satellite constellations! Telecom Mobility and remote access marineos!10 CONFIDENTIAL
11 Platform Overview Use Cases marineos Value Proposition Architecture marineos!
12 Offshore and maritime companies collect petabytes of ocean data to make planning and operational decisions. marineos!
13 2+ Million oceanic sensors and growing Thousands of different data sources in a variety of locations and formats. #1 footprint of public ocean data on the Web (marinexplore.org) 40,000+ data streams with 1 trillion data values by 31 institutions 100+ organizations and 6,000+ ocean data professionals marineos!
14 80% 80% of the time related to decision-making is spent on finding, accessing, cleaning, visualizing and distributing ocean data. marineos!
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17 Platform Overview Use Cases marineos Value Proposition Architecture marineos!
18 How to speed up data activities related to the oceans? By automatically centralizing data with a focus on location and time. Finding, accessing, transforming, integrating, cleaning, storing, analyzing, visualizing and distributing ocean data. marineos!
19 A Platform for Spatio-Temporal Data Operational on 40,000+ data streams with 1 trillion data values by 31 institutions POINT DATA! MODEL DATA! SATELLITE! RADAR! ADCP SPATIO-TEMPORAL INDEXING Built on cloud technologies StreamFlow hybrid dataflow and workflow! StreamStorage machine generated data and metadata storage! StreamWork user experience for exploration, processing, management, collaboration, APIs Key Features Scalable Stream-based Plugin Architecture Repeatable and Revertible Processing Automated and Manual Data Collection Integrated Data Model: Observations & Models All Major Ocean Data Types and Formats Private and Public Users marineos!
20 High-Level Platform Architecture Private Data Diverse Formats Connect Storages Secure Roles & Projects ETL Exchange Data PUBLIC Data Services Run Analysis Access Securely Anywhere UI UI UI Integrated Tools Vertica, Postgres, S3, EBS Python/Cython, numpy/scipy GDAL, C++ OPeNDAP, NetCDF4 Web GIS, Leaflet, d3, Django marineos!
21 marineos sea the difference André Karpištšenko
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