HIGHER EDUCATION COURSE IN STORAGE TECHNOLOGIES FOR BIG DATA

INTRODUCTION

The Higher Education Course in Storage Technologies for Big Data aims to train students in the techniques and technologies used to store and manage large amounts of data. Students will learn about distributed storage systems, NoSQL databases, real-time data processing technologies, and distributed file systems. They will also learn about data management tools, such as Hadoop and Spark.

Choose to train at ENEB, one of the most prominent distance business schools in Europe, allowing you to train at the highest level from anywhere, with daily support from all professors and tutors.

CERTIFICATION

Upon completing your studies, you will be eligible to receive a double certification awarded by the European Business School of Barcelona, endorsed and certified by Universidad Isabel I:

• Higher Education Course in Storage Technologies for Big Data

WHO IS IT FOR?

The Higher Education Course in Storage Technologies for Big Data is aimed at:

• Professionals who wish to deepen their knowledge in the field of Big Data and data management.
• Professionals working in areas related to IT and data management.
• Professional profiles such as software engineers, data scientists, database administrators, infrastructure engineers.
• Anyone interested in learning about Big Data storage technologies.

OBJECTIVES

The curriculum of the Higher Education Course in Storage Technologies for Big Data aims to equip students with the following knowledge and skills:

• Understand the architecture of distributed storage systems for Big Data.
• Learn about NoSQL databases and real-time data processing technologies.
• Learn about the different distributed file systems used for Big Data storage.
• Become familiar with data management tools such as Hadoop and Spark.
• Acquire practical skills for managing and processing large amounts of data.

EMPLOYMENT OPPORTUNITIES

ENEB is recognized by the most prestigious companies in different sectors. Its training, adapted to the current reality of the labor world, allows the student to perform perfectly in any company and to develop a promising professional career.

When you finish the Higher Education Course in Storage Technologies for Big Data, you will be able to register in our Job Bank in which ENEB has agreements with important business firms.

SYLLABUS

The Higher Education Course in Storage Technologies for Big Data is made up of the following syllabus

TOPIC 1: APACHE HADOOP

• 1.1 What Is Hadoop?
• 1.2 Hadoop Distributions

TOPIC 2: THE HADOOP ECOSYSTEM

• 2.1 What Is the Hadoop Ecosystem?
• 2.2 Description of Ecosystem Applications

TOPIC 3: APACHE SPARK

• 3.1 What Is Apache Spark?
• 3.2 Introduction to Scala
• 3.3 Spark with Scala with Dataframes
• 3.4 Datasets with Scala
• 3.5 Spark SQL and Dataframes
• 3.6 Spark SQL and Connections To External Sources
• 3.7 Spark with Python
• 3.8 Optimization of Spark Applications

TOPIC 4: STREAMING TECHNOLOGIES

• 4.1 Batch and Streaming Concepts
• 4.2 Apache Kafka
• 4.3 Apache Kafka and Apache Spark
• 4.4 Cloud Streaming

TOPIC 5: FILE SYSTEMS AND PLATFORMS FOR BIG DATA IN THE CLOUD

• 5.1 Data Organization: Data Lake
• 5.2 Cloud Platforms
• 5.3 Big Data Platforms as a Service In The Cloud
• 5.4 Cloud Storage Systems

DISTANCE LEARNING 

METHODOLOGY

In order to balance personal and professional life, the Higher Education course is offered entirely online. This way, you can access all the educational content through our Virtual Campus, which will be your main platform for learning, allowing you to study from anywhere in the world at any time. All assessments and final projects are also conducted remotely.

Once enrolled, you will be able to access the Virtual Campus with all the academic resources you need, providing continuous communication with other students and professors. You will have access to discussion forums, be able to undertake executive training in English, and connect with all your classmates through the ENEB Campus, among many other possibilities.

EVALUATION

Consistency is a key element in your study plan. Through the self-assessments provided via the Virtual Campus, you will be able to consolidate the knowledge you have acquired.

In order to pass the Higher Education course, it is essential to submit a final project for the course. Once your team of tutors has evaluated you, you can see your grade on the Virtual Campus. Additionally, you will receive a detailed document via email explaining all the points of your case study.

In the evaluation, your tutors will assess the following aspects:

• Presentation of the exercise, design, visual richness, and spelling.
• Development of the work, complexity of the statement, logic, and coherence in the results obtained in the case study.
• Added value in the analysis and development of the proposed case.

It is important to remember that all self-assessments are voluntary and do not count towards the final grade for each subject.