Working correctly with Streaming Data Processing is a challenge for any IT professional. Specialize with this University Course and excel"

In this University Course, the IT professional will be able to offer companies and organizations an effective Streaming Data Processing, so that they can take advantage of all possible information from their customers and offer them the best possible experience. All this is achieved with the correct collection, structuring, processing and interpretation of any data source.

In this program you will learn more about the main uses of Streaming Data Processing. Students will carry out a previous statistical analysis and a study of the different programming modules, which will allow them to observe and understand data processing. Beyond the mastery of the technique, this University Course challenges the professional to reflect on the information, its ethical advantages and disadvantages.

A great opportunity for the IT professional to deepen in a field that will lead him to consolidate an up to date knowledge about Cloud environments and that will allow him to progress in his area. The 100% online modality offered by TECH gives you the possibility to access, from any device with internet connection, the video summaries, complementary readings and case studies at any time and without fixed schedules. In this way, students have greater flexibility to achieve full specialization.

Master the main streaming data applications: Apache Spark Streaming, Kafka Stream and Flink Stream, and outperform your competition"

This postgraduate certificate in Data Processing in Streaming 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 Cloud Programming
• The graphic, schematic and practical contents of the book provide technical and practical information on those 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

Streaming Data Processing want to specialize? SQL will become your tool and language of choice, understanding how Spotify or Deezer use and develop their data"

The program’s teaching staff includes professionals from the field 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 students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Instagram, Netflix and Panda 3D have been programmed with Python. Learn in this course how to analyze data and obtain reliable business applications"

Become an expert in Maching Learning and advanced predictive modeling through this University Course"

During the 6 weeks of this University Course, the IT professional will be able to develop the key fundamentals of statistics, Maching Learning and data mining for understanding and analysis. In addition, you will learn about the current context and national uses of Streaming Data Processing. Case studies and a highly qualified teaching staff will help students advance in their professional field.

Delve in this University Course in the main programming languages in Big Data and progress in your professional career"

General Objectives

• Analyze the different approaches to cloud adoption and their contexts
• Acquiring specialized knowledge to determine the right Cloud
• Develop a virtual machine in Azure
• Establish the sources of threats in application development and best practices to apply
• Assess the differences in the concrete implementations of different public cloud vendors
• Determine the different technologies applied to containers
• Identify the key aspects of a Cloud-Native adoption strategy
• Fundamentals and evaluation of the programming languages most commonly used in Big Data, necessary for data analysis and processing

Specific Objectives

• Analyze the process of collecting, structuring, processing, analyzing and interpreting streaming data
• Develop the principles of streaming processing, the current context and current use cases in the national context
• Develop key fundamentals of statistics, maching learning, data mining and predictive modeling for understanding data analysis and processing
• Analyze the main Big Data programming languages
• Examine the fundamentals of Apache Spark Streaming, Kafka Stream and Flink Stream

Take the step you were looking for in the Cloud sector. Achieve your objectives with this University Course. Enroll now”