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1) What is RDD - Resilient Distributed Datasets
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Map/Reduce intro
Some slides about the Map/Reduce programming model (academic purposes) adapting some examples of the book Map/Reduce design patterns.
Special thanks to the next authors:
-http://shop.oreilly.com/product/0636920025122.do
-http://mapreducepatterns.com/index.php?title=Main_Page
-http://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns/
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introduction to GIS
Introduction to GIS theory Class work. studied by Dr Imtiaz Ahmed Chandio (chairman CRP MUET Jamshoro
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This document discusses Hadoop usage at eBay over time from 2007 to 2015. It describes:
- The growth of eBay's Hadoop clusters from 1-10 nodes in 2007 to over 10,000 nodes and 150,000 cores projected for 2015.
- How the amount of data stored in Hadoop has grown from 1PB in 2010 to a projected 150+ PB in 2015.
- The types of clusters eBay uses including dedicated, shared, and HAAS clusters.
- Some key use cases for Hadoop at eBay like building a near real-time search index and processing 1.68 million items in 3 minutes.
- Operational requirements for eBay's large Hadoop ecosystem like high availability, security,
Map Reduce
A MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner. The framework sorts the outputs of the maps, which are then input to the reduce tasks. Typically both the input and the output of the job are stored in a file-system.
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This paper proposes LLaMA-Adapter, a lightweight method to efficiently fine-tune the LLaMA language model into an instruction-following model. It uses learnable adaption prompts prepended to word tokens in higher transformer layers. Additionally, it introduces zero-initialized attention with a gating mechanism that incorporates instructional signals while preserving pre-trained knowledge. Experiments show LLaMA-Adapter can generate high-quality responses comparable to fully fine-tuned models, and it can be extended to multi-modal reasoning tasks.
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Open source technology have became popular in the last years. More and more proprietary
software are ready to work with open source applications, what is more they directly support them. A
similar situation got me started to use Python, and I really was pleased that this language can be used for
many purposes in geoinformatics.
Presented by Marianna Zichar, assistant professor, University of Debrecen,
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This document discusses GeoTools and GeoXTreme (GXT), open source geospatial toolkits. It provides information on:
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Similar to Gdal introduction (20)
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Gdal introduction
- 1. 8.1.2017
- 2. Agenda 1. What is GDAL? 2. Software using GDAL 3. Geospatial Data 4. Abstraction 5. Library or maybe framework? 6. Getting started with GDAL and C# 7. More Information
- 3. What is GDAL? ● Translator library for raster and vector geospatial data formats ● Started in 1998 by Frank Warmerdam as independent professional ● Now the project is under OSGeo’s umberlla ● Free and Open Source Software ● Written in C++
- 4. Software using GDAL QGIS IDRISI ArcGIS 9.2+ gstat Micromine GRASS GIS libral SpaceEyes3D PostGIS Geoweb3d pktools MapGuide Thuban OpenEV OSSIM ERDAS CartoDB TerrainView GeoServer GMT Bluemapia Google Earth Fiona GenGIS MapServer Procura SAGA GIS vGeo
- 5. GDAL - Geospatial Data Abstraction Library Data which has a geographical or spatial aspect Raster - A spatial data model that defines space as an array of equally sized cells arranged in rows and columns, and composed of single or multiple bands. Vector - A coordinate-based data model that represents geographic features as points, lines, and polygons.
- 6. GDAL - Geospatial Data Abstraction Library 3 major classes within the GDAL library: ● GDAL - Raster ● OGR - Vector ● OSR - Spatial Reference What can they do? Coordinate system conversion, statistics, format conversion, geo operations on geometries and layers, image merge, build pyramids, create a tileindex, Convert rgb to indexed color, etc...
- 7. GDAL - Geospatial Data Abstraction Library Presents a single raster abstract data model and a single vector abstract data model to the calling application for all supported formats. ● Supported raster formats (142 drivers) : GeoTIFF, Erdas Imagine, ECW, JPEG2000, DTED… ● Supported vector formats (84 drivers): ESRI Shapefile, ESRI ArcSDE, ESRI FileGDB, KML, PostGIS, Oracle Spatial, AutoCAD DWG, Elasticsearch...
- 8. GDAL - Geospatial Data Abstraction Library Example for GDAL abstraction:
- 9. GDAL - Geospatial Data Abstraction Library Or maybe framework? ● Cross platform - Windows (32, 64 bit), MAC OS X, Linux ● Variety of programming language bindings - Offical: C#, Java. Perl, Python Unofficial: Go, Lua, Node.js, PHP, Tcl. ● Comes with many useful command line utilities for data translation and processing ● Extensibility for more geo formats (with plugins) ● Wide community
- 10. GDAL - Geospatial Data Abstraction Library Examples for using command line utiltiles: ● ogr2ogr - converts simple features data between file formats ● gdalinfo - lists information about a raster dataset % ogr2ogr -f "ESRI Shapefile" c:output.shp "PG: host=localhost user=postgres dbname=gisdb password=postgres" -sql "SELECT name, geom FROM tableName" % gdalinfo c:input.tiff
- 11. GDAL - Geospatial Data Abstraction Library A personal experience about how the community helped me: Few months ago, I submitted a new bug in the GDB driver. Two weeks later the bug was fixed and published as part of the next GDAL version.
- 12. Getting started with GDAL in C# 1. Download the latest version of the precompiled GDAL binaries (32 or 64 bit) 2. Extract the contents from the zip file to a location on your hard disk e.g. C:Program FilesGDAL 3. Include the path to C:Program FilesGDAL in your PATH system variable and add path to C:Program FilesGDALgdal-data in a new system variable named GDAL_DATA 4. Add references to dll-files that can be found at C:Program FilesGDALcsharp 5. Write your code 6. To view the full turorial click here
- 13. More Information Links: ● http://www.gdal.org - official GDAL website ● http://www.gisinternals.com - website to download sources ● Getting started with GDAL and C# ● http://svn.osgeo.org/gdal/trunk/gdal/swig/csharp/apps/ - gdal examples in C# ● GDAL dev forum ● https://trac.osgeo.org/gdal - website to submit bugs Create by: Tomer .L. and Ori .A.
- 14. Questions?