Online Course – Certified Professional Internship in Non-Traditional Data Processing Platforms from Google and Andes University

Discover how to process non-traditional data. Enter the world of platforms for processing non-traditional data (semi-structured, unstructured, and geo-located data) and learn how to highlight data-driven solutions.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Processing huge data
  • Geographic Data Manager
  • Cloud processing
  • Unstructured and semi-structured data manager
  • Using NoSQL databases

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Big Data Engineer
  • Cloud Data Architect
  • NoSQL Database Administrator
  • Geospatial Data Scientist
  • Business Intelligence Developer
  • Data Engineer
  • GIS Analyst
  • Data Processing Specialist
  • Data Solutions Architect

Internship – 3-part course series

The information we deal with today, such as location-related data, texts, images and videos, requires technologies that are different from traditional technologies focused on alphanumeric data. The special program for platforms for processing non-traditional data presents the infrastructures, technologies and ways to deal with problems related to this new data (semi-structured, unstructured and geographic data), so that you can process it efficiently and extract value from it that will bring benefit and differentiate you in the market.

What will you learn in the program?

  • Huge amounts of data (Big Data)
  • Highly scalable infrastructures in the cloud (Cloud Computing)
  • New ways to store data in databases (NoSQL repositories)
  • Spatial analysis and processing technologies (Geographic Information Systems)

Using concrete examples of open data, you will learn how to build innovative solutions, with processing techniques and design methodologies that are suitable for every scenario you encounter in the market for these technologies.

Hands-on Learning Project

Students will perform guided exercises on the technologies learned in the program. Using open data and business questions, they will find work guides and practical examples that will help them apply the concepts learned in the program. All of this is done in virtual technology environments, which students can download and install on their personal computers.

Details of the courses that make up the specialization

Big Data Architectures Course

  • Course duration: 15 hours

Course Details

What you’ll learn
  • Determine the relevance of using big data technologies for a given problem
  • Develop simple scalable processing projects in Spark
  • Understand the role of cloud computing as an option for processing and storing big data, as well as the benefits and risks
  • Identify the characteristics of a big data solution, the required infrastructure, and scalable processing techniques
Skills you will acquire
  • Category: Scalable Computing Platform Management
  • Category: Managing huge amounts of data
  • Category: Cloud Information Management
  • Non-traditional data in NoSQL systems

Course 2

  • Course duration: 16 hours

Course Details

What you’ll learn
  • Identify basic considerations for implementing a data-driven solution using NoSQL technologies
  • Identify criteria for selecting and defining tools according to the diverse needs of the information model
Skills you will acquire
  • Category: Using NoSQL technologies to manage unstructured and semi-structured data
  • Category: NoSQL Database Design
  • Category: Non-traditional data storage

Modeling and analysis with geographic information

  • Course duration: 16 hours

Course Details

What you’ll learn
  • Get to know what geographic information looks like, what the framework of the information is, how to model the information, and how to transform a geographic entity.
  • Understand and perform basic spatial analysis operations, with simple examples
  • Understand and perform a geographical analysis exercise based on a case study (the spread of Chagas disease in Colombia)
  • Use a data file to analyze spatiotemporal information obtained from remote sensors
Skills you will acquire
  • Category: Knowledge of geographic data types, operations, and analytical ability to solve geographic problems
  • Category: Use of Geographic Information Systems
  • Category: Ability to think spatially and solve some spatial analysis problems
  • Category: Understanding what remote sensors are and using a data file to analyze them