Throughout this program, you will learn how to work with Spark, one of the most widely used data storage, processing and analysis engines"  

One sector in which Big Data has had a great impact is journalism. After all, data is information, and this is the journalist's raw material. When a newsroom is faced with a large bank of data, it is very difficult to draw conclusions. Even more so, with the limited resources that the media have today. That is why it is crucial to have tools that can process data quickly. 

In this sense, the Postgraduate certificate in Big Data Applied to Systems Engineering and Computer Science includes data processing tools such as Spark and Hadoop. As well as storage, architecture and analysis. 

Another point of vital importance in this program is data visualization. It is essential in order to transmit the conclusions in a clear and direct way. In this section we will analyze the different typologies and the visualization and reporting tools. 

The final topics have been reserved for the interpretation of information, with some concepts such as Business Intelligence or Business Analytics. As well as privacy, protection and data governance. 

These contents will be taught in an online mode, without schedules and with all the contents available from the first day. All you need is a device with an Internet connection. In this way, students will be able to organize themselves according to their time, thereby favoring the assimilation of concepts.  

The TECH teaching faculty will help you implement the advances of Machine Learning to data analysis"  

This Postgraduate certificate in Big Data Applied to Systems Engineering and Computer Science contains the most complete and up-to-date program on the market. The most important features include: 

• The development of practical cases presented by experts in Big Data Applied to Systems Engineering and Computer Science
• 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 

Throughout the program you will learn all the keys to Business Intelligence so you can apply it to your projects" 

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational 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. 

TECH has set up a specific topic to identify the most useful sources of information"

A specific topic has been reserved to deal with the most sensitive data and the most appropriate ways to protect them"

The syllabus begins by detailing the application of Big Data to information technologies and defining the most useful sources of information. It then introduces the various elements that are part of the daily work with Big Data: processing, storage, architecture, analysis, visualization and interpretation. Finally, it provides the necessary knowledge to protect data in an appropriate manner and a topic is reserved for the development of data governance. 

Thanks to TECH you will learn how to store information properly, either in on-site databases or in the cloud”

Module 1. Big Data Applied to Systems Engineering and Computer Science 

1.1. Big Data Applied to IT 

1.1.1. Big Data Applied to IT 
1.1.2. Big Data. Opportunities 
1.1.3. Big Data. Application 

1.2. Information and Data 

1.2.1. Information Sources 
1.2.2. Quality 
1.2.3. Transformation 

1.3. Processing Big Data 

1.3.1. Big Data Processing. Hadoop 
1.3.2. Big Data Processing. Spark 
1.3.3. Streaming Processing 

1.4. Data Storage 

1.4.1. Data Storage. Databases 
1.4.2. Data Storage. Cloud 
1.4.3. Data Storage. Information Use 

1.5. Big Data Architecture 

1.5.1. Big Data Architecture. Data Lake 
1.5.2. Big Data Architecture. Process Monitoring 
1.5.3. Big Data Architecture. Cloud Computing 

1.6. Data Analysis 

1.6.1. Data Analysis. Predictive Modeling 
1.6.2. Data Analysis. Machine Learning 
1.6.3. Data Analysis. Deep Learning 

1.7. Data Visualization 

1.7.1. Types 
1.7.2. Visualization Tools 
1.7.3. Reporting Tools 

1.8. Information Interpretation 

1.8.1. Business Intelligence 
1.8.2. Business Analytics 
1.8.3. Data Science 

1.9. Privacy and Data Protection 

1.9.1. Sensitive Data 
1.9.2. Consent 
1.9.3. Anonymization 

1.10. Data Governance 

1.10.1. Data Governance 
1.10.2. Data Lineage 
1.10.3. Data Catalog 

Learn all the keys to Data Lineage to simplify the process of tracing errors and resolving them quickly”