Big Data: adquisición y almacenamiento de datos

Go to Course: https://www.coursera.org/learn/adquisicion-almacenamiento-de-datos

Introduction

### Course Review: Big Data: adquisición y almacenamiento de datos In the digital age, the ability to harness and analyze large volumes of data has become paramount, making courses on Big Data increasingly valuable. One such offering is the *Big Data: adquisición y almacenamiento de datos* course available on Coursera. This course provides a comprehensive exploration of the essential principles, tools, and applications associated with Big Data, and is a compelling choice for both beginners and professionals looking to deepen their knowledge in this rapidly evolving field. #### Course Overview This course is designed for individuals who are keen to gain a more nuanced understanding of Big Data tools and applications. It aims to equip students with the terminology, fundamental concepts, and key tools necessary to tackle data analysis challenges, with an emphasis on real-world problems and applications. Participants will gain a systemic perspective on the most significant challenges encountered while working in environments burdened with vast amounts of data. #### Syllabus Breakdown The course is structured into several modules, each covering crucial aspects of Big Data: 1. **Introducción**: This section lays the groundwork for what participants can expect, setting the stage for their learning journey. 2. **La Máquina Virtual**: Participants will learn how to download and install the Cloudera virtual machine on their computers. It’s important to note that the installation process may take time due to the size and complexity of the system, so adequate preparation is recommended. 3. **Módulo 1 - Introducción al ecosistema Apache Hadoop**: A foundational introduction to Apache Hadoop is presented, discussing its purpose in analyzing large data sets. Here, students will explore the primary tools and system architecture related to Hadoop. 4. **Módulo 2 - Tecnologías SQL y NoSQL**: This module contrasts SQL and NoSQL technologies, introducing the CAP theorem and its significance in distributed systems. Participants will dive into the nature of data and how various systems are applied in contemporary industry scenarios. 5. **Módulo 3 - Adquisición de datos**: Focused on the challenges of integrating data into NoSQL systems, this module also covers essential tools within the Hadoop ecosystem. Hands-on exercises with Apache Scoop enhance the practical learning experience. 6. **Módulo 4 - Herramientas para el análisis de datos industrial**: The final module emphasizes industrial data analysis and presents various second-generation tools tailored to meet specific industrial needs. Practical exercises using Apache Hive and Spark reinforce theoretical knowledge. #### Learning Experience The course employs a mix of instructional videos, quizzes, and practical exercises, which cater to different learning styles. Students are encouraged to engage with the content actively, revisiting quizzes and discussing topics in the online forums to enhance their understanding. This interactive approach fosters a community environment, which can be beneficial for networking and collaboration. #### Who Should Enroll? This course is ideal for anyone interested in gaining insights into the Big Data landscape, from students and early-career professionals to seasoned analysts and data scientists looking to sync their skills with industry standards. With foundational modules tailored for various experience levels, it serves as an excellent entry point for those new to Big Data and a valuable refresher for those already familiar with the field. #### Recommendations - **Technical Preparedness**: Ensure your PC meets the specified requirements to install the Cloudera virtual machine, as this is crucial for the practical components of the course. - **Engagement**: Actively participate in forums and discussions, as this can deepen your understanding and provide insights from fellow learners. - **Practical Application**: Take advantage of the hands-on exercises to reinforce theoretical concepts and gain practical experience with the tools discussed. #### Conclusion In conclusion, *Big Data: adquisición y almacenamiento de datos* on Coursera stands out as a well-structured, informative course that effectively covers the essential aspects of Big Data analytics. With its comprehensive syllabus, practical focus, and interactive learning environment, it's a valuable investment for anyone looking to enhance their Big Data capabilities. I highly recommend it to all those eager to explore the vast potential that Big Data offers in today’s data-driven world.

Syllabus

INTRODUCCIÓN

A lo largo de estos cursos vamos a trabajar con un conjunto de herramientas contenidas en la máquina virtual Cloudera. En este apartado te explicamos cómo descargar e instalar dicha máquina virtual en tu ordenador.

La MV-Cloudera requiere disponer de un equipo con las siguientes características: (1) máquina de 64 bits, (2) mínimo 6G de memoria (recomendable 8G), y (3) 20G disponibles en disco.

Ten en cuenta que bajar e instalar la máquina virtual te llevará tiempo dado el tamaño y complejidad de la misma

En este módulo se van a introducir los conceptos básicos sobre el uso de Apache Hadoop y su utilización para plantear análisis de grandes conjuntos de datos. Se van a presentar las herramientas principales y la arquitectura del sistema.

Visualiza los vídeos, contesta el cuestionario tantas veces como quieras, realiza el ejercicio práctico sobre Hadoop y HDFS, y accede a los foros para discutir los temas que te parezcan más interesantes.

En este módulo se introducen conceptos básicos sobre la naturaleza de los datos a tratar y de qué forma los sistemas NoSQL se diferencian de las bases de datos relacionales. Se presenta el teorema CAP y se muestra su importancia en el contexto de los sistemas distribuidos. Finalmente, se muestran una serie de sistemas junto con su uso en la industria actual.

Visualiza los vídeos, contesta el cuestionario tantas veces como quieras, y accede a los foros para discutir los temas que te parezcan más interesantes.

En este módulo se presentan los desafíos que hay que resolver a la hora de incorporar datos a los sistemas NoSQL y una breve introducción a las herramientas asociadas al ecosistema Hadoop más importantes.

Visualiza los vídeos, contesta el cuestionario tantas veces como quieras, realiza el ejercicio práctico sobre Apache Scoop, y accede a los foros para discutir los temas que te parezcan más interesantes.

En este módulo se presenta el análisis industrial de grandes volúmenes de datos y se introducen una serie de herramientas y sistemas de segunda generación dedicados a resolver necesidades específicas de la industria.

Visualiza los vídeos, contesta el cuestionario tantas veces como quieras, realiza los ejercicios prácticos sobre Apache Hive y Sparck, y accede a los foros para discutir los temas que te parezcan más interesantes.