In this postgraduate diploma, you will be university able to balance the efficiency of the most advanced learning methods with the flexibility of a program created to adapt to your possibilities of dedication, without losing quality"

Data is the fundamental raw material for research and knowledge advancement. In recent years, there has been an increase in initiatives that have made the creation, access, use and preservation of data as another axis within the work of communities linked to research in various areas of knowledge. This program offers specialized knowledge in data management, focusing on its typology and life cycle and practical approach through the available resources.  

Today there are a large number of applications that we use from our mobile or any other smart device that access services hosted on platforms that are being used by hundreds of thousands of users simultaneously. There are a multitude of applications supported from platforms that must not only serve "human" users but also millions of connected devices such as, IoT modules, smart speakers, etc. 

The role of system administrators has now changed from being an operator who modifies system configuration to implement a series of policies to being more of a software architect who designs and implements specific algorithms which will alter the configuration of a series of resources to meet specific requirements demanded at a given time by a specific situation. 

On the other hand, during the last decade, in software engineering, especially in the backend, the set of concepts, tools and technologies around distributed systems and data management and processing has grown considerably. In today's rapidly changing landscape, it is critical that students understand the underlying technology of many of today's systems that are highly demanding in terms of scalability, performance and reliability.  The ultimate goal of this understanding is to be in the best position to make good decisions in distributed system design, among other issues of interest. 

As it is a 100% online program, students will not have to give up personal or professional obligations. Upon completion of the program, students will have updated their knowledge and will be in possession of an incredibly prestigious qualification that will allow them to advance both personally and professionally.

Learn to analyze classical system models and identify shortcomings for use in distributed applications"

This postgraduate diploma in High Volume and Heterogeneous Category Information Processing Architectures contains the most complete and up-to-date educational program on the market. The most important features include:

• The development of case studies presented by experts in High Volume and Heterogeneous Category Information Processing Architectures 
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

With the best developed distance learning systems, this postgraduate diploma will allow you to learn, in a contextual way, the practical skills that you need"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.   

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.   

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.   

An intensive professional growth program that will allow you to intervene in a sector with a growing demand for professionals"

A comprehensive program for IT professionals, which will allow them to compete among the best in the sector"

The objective of this program is to prepare professionals in High Volume and Heterogeneous Category Information Processing Architectures, with the necessary knowledge and skills to carry out their activity, using the most advanced protocols and techniques of today. Through a totally adaptable work approach, this postgraduate diploma will progressively lead students to acquire the skills that will propel them to a higher professional level. A unique program designed by professionals with extensive experience in the field.

Comprehensive yet focused; this program will provide you with the specific knowledge IT professionals need to compete among the best in the sector"

General Objectives

• Develop each stage of the data lifecycle
• Determine the conditions to be met to optimize data use and quality 
• Develop specialised knowledge on maintainable, scalable and reliable systems
• Analyze different data models and their impact on applications
• Examine state-of-the data storage and retrieval engines
• Assess distributed data, partitioning, consistency or replication systems
• Analyze classical system models and identify shortcomings for use in distributed applications
• Examine the distributed computing paradigm and establish the microservice model
• Identify distributed computing requirements and present IaaS, PaaS and SaaS models
• Evaluate the most commonly used tools in large-scale production systems

Specific Objectives

Module 1. Data Types and Data Life Cycle

• Generate specialized knowledge to perform data analysis
• Unify diverse data, Achieving consistency of information
• Produce relevant, effective information, for decision making
• Establish best practices for data management according to their typology and uses
• Use data management tools (with R)

Module 2. Scalable and Reliable Mass Data Usage Systems

• Establish the concepts of reliability, scalability and maintainability
• Evaluate relational, document and network models
• Analyze structured storage in the form of log, B-trees and other structures used in data engines
• Examine consistency models and their relationship to the concept of replication
• Understand the different replication models and associated issues
• Develop the fundamental principles of distributed transactions
• Examine database partitioning and keys to ensure that they are balanced

Module 3. System Administration for Distributed Deployments

• Develop requirements for distributed applications
• Make use of the most advanced tools for the exploitation of distributed applications
• Analyze the use of tools for infrastructure management
• Examine the most useful tools for the implementation of IaaS and PaaS models
• Develop the PaaS model and some of the tools currently used in its implementation
• Assessing monitoring tools oriented to distributed systems
• Propose verification and testing techniques for distributed platforms
• Analyze the most used options in the implementation of Cloud platforms

A complete and cutting-edge program that will allow you to acquire the knowledge you need to work in this sector in a progressive and comprehensive way"