Big Data and Hadoop Developer

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Certificate of Achievement - Big Data and Hadoop Developer

XSIMBDHOL2013
Sulabh Singh
Big-Data and Hadoop Developer
26th Mar 2017

This document discusses a proposed global social transformation experience using IBM Watson gamification and crowdfunding to move 370,000 IBM employees into cognitive and cloud computing. It provides background on IBM's annual revenue, number of employees worldwide, patents, and countries of operation. The proposal involves teams competing in a game to generate business ideas using data and technical knowledge, with a final presentation pitching their cognitive solutions.

Big data hadoop and spark developerGabrielVasanth1

Hadoop Fundamentals_certificateMohihasan Kadri

analysis workspace certificateAdam Higdon

Team 04 3 d open land useplan4all

This document summarizes Team 4's 3D Open Land Use project presented at the INSPIRE Conference. The team developed applications to visualize open land use and farm data in 3D using Cesium and HSLayers-NG. Their applications integrate global and local terrain and land cover data to explore yield potential. The team hopes to continue collaborating with other INSPIRE Hack teams and apply their work to agriculture pilots and large data analytics projects.

Accessing Hadoop Data Using HiveSritam Maikap

Geospatial Companies! Is Your Homepage Doing its Job?Joe Francica

The document describes the homepages of various geospatial technology companies and how they rotate content on their homepage. It notes that Esri, Intergraph, PCI Geomatics, Mapbox, Pitney Bowes, DigitalGlobe, Caliper, and Boundless all use tools to rotate different numbers of images, topics, or statements on their homepages, while Planet Labs and Skybox Imaging have static or slowly changing images and Safe Software's homepage does not reference mapping or geospatial data.

Data modernizing Agronomy - Chris Harbourt, PhDUIResearchPark

The document discusses how data and technology can modernize agronomy. It outlines the historical stages of agricultural research from basic research in the early 20th century to the current focus on "Big Data" and merging research with geospatial data. The document advocates for a holistic ensemble approach, as promoted by Agrible, that integrates qualitative and quantitative research, theory, and observation rather than viewing new technologies as replacing older methods. This balanced approach can revolutionize agronomy using established scientific principles.

How companies are exploiting data scienceEPCC, University of Edinburgh

This document discusses how companies are exploiting data science in various industries. It provides examples of using gaming data to create new products, using production line sensor data and machine learning to schedule maintenance, and using a neural network trained on artificially curled pages to remove page curling from scanned books in a non-destructive manner. The gaming data example increased one company's revenue by €75k-€150k annually and the production line example could save hundreds of thousands per day in breakdown costs if scaled globally across industries.

Plan4all - from citizen science , citizen observatories , vgi towards commun...plan4all

This document discusses Plan4all, an association that was formed to protect and disseminate results from EU projects related to citizen science, citizen observatories, and volunteered geographic information. The association aims to maintain resulting data sets and platforms, enter new projects dealing with territorial decision making and INSPIRE directive implementation, and create an open data environment. It also seeks to support open data validation and improvement, operate a worldwide open data platform, support marketing/business using data, and provide constancy and policymaker support. Membership in the association is open and applications are currently being accepted through September 25, 2017.

Team 09 open land use and smart points of interest visualisation using web g ...plan4all

The document summarizes a project that used WebGLayer to visualize open land use and points of interest data from the Czech Republic. The project aimed to precompute and map the density of points of interest within different land use types, but ultimately only created heatmaps for two land use categories using Mapserver. A key lesson was that combining the datasets provided little new insight, but using points of interest to define land use classifications could provide more reliable information than existing sources.

Precisition Agriculture - (Stephan Vormbrock, CLAAS)The European GNSS Agency (GSA)

The document discusses the challenges and trends in agriculture, highlighting the impact of climate change, population growth, and changing eating habits. It emphasizes the importance of precision farming, the need for intelligent solutions to manage agricultural data, and the utilization of advanced technologies such as satellites and drones for efficiency and sustainability. Finally, it introduces 'claas crop view', a tool for generating application maps to optimize agricultural practices.

Big Data LDN 2017: Your flight is boarding now!Matt Stubbs

The document discusses the KNIME analytics platform and its capabilities for data visualization, preparation, and model evaluation, with a focus on predicting flight departure delays at US airports. It outlines various tools and methods used within the platform, including access to diverse data sources and big data integration. Additionally, it highlights the importance of data visualization and the CRISP-DM data science cycle in the analytics process.

Team 02 metadata catalogue for the open land use mapplan4all

The document summarizes a project that created a metadata catalogue for an OLU database using PostgreSQL and the MICKA metainformation catalogue. The project aimed to make the data in the OLU database easy to search, view metadata for, and download. The metadata generated are compliant with INSPIRE and the work intends to provide a reusable way to publish metadata at the lowest NUTS hierarchy level.

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SQL-Demystified-A-Beginners-Guide-to-Database-Mastery.pptxbhavaniteacher99

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Prescriptive Process Monitoring Under Uncertainty and Resource Constraints: A...Mahmoud Shoush

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