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Technologies / Data & Analytics

Magellan: Geospatial Analytics in Apache Spark

Specialized training in geospatial data analysis using the Magellan library in the Apache Spark environment. The training program combines fundamental concepts of spatial analysis with practical aspects of geographic data processing in a distributed environment. Participants work on real geospatial datasets, learning to implement complex analysis and visualization. The workshop is conducted as an intensive hands-on class, where theory is immediately translated into working analytical solutions. The training methodology focuses on understanding the specifics of spatial data and effectively using the platform's capabilities to analyze it.

Issues

  • Spatial data models

  • Geospatial indexing

  • Geometric operations

  • Spatial inquiries

  • Cluster analysis

  • Spatial modeling

  • Geographic prediction

  • Performance optimization

  • Data visualization

  • Integration with GIS

  • Distributed processing

  • Spatial data standards

Benefits

  • Gain advanced knowledge in geospatial data analysis in a distributed environment
  • Master techniques for efficient processing and analysis of large spatial data sets
  • To acquire methods for optimizing spatial queries in the context of Big Data
  • Advanced spatial modeling and analysis techniques
  • Acquire the ability to design and implement scalable geospatial solutions
  • Understand best practices in spatial data visualization

Who is this training for?

Data analysts working with spatial information
Big Data developers implementing geospatial analytics
Data engineers designing location-based solutions
GIS professionals moving to Big Data platforms
Data Scientists using geographic data
Developers of applications using spatial analysis

Prerequisites

  • Knowledge of the basics of spatial analysis
  • Experience working with Apache Spark
  • Basic knowledge of GIS data formats
  • Understand the concept of distributed processing

Training program

01

Spatial data models

  • Data formats and standards
  • Coordinate systems and projections
  • Spatial operations at Magellan
  • Spatial data processing
02

Spatial indexing

  • Geometric operations
03

Spatial inquiries

  • Processing optimization
04

Advanced analytics

  • Spatial cluster analysis
05

Spatial modeling

  • Network analysis
06

Spatial prediction

  • Visualization and implementation
  • Spatial data visualization techniques
  • Integration with GIS tools
  • Performance optimization
  • Implementation of manufacturing solutions

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the Magellan: Geospatial Analytics in Apache Spark training for?

This training is designed for professionals looking to develop skills in magellan: geospatial analytics in apache spark. Required level: intermediate.

How long is the Magellan: Geospatial Analytics in Apache Spark training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Bożena Machowska-Worek
Bożena Machowska-Worek Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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ING Bank - EITT client
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PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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