Enroll Course: https://www.coursera.org/learn/adquisicion-almacenamiento-de-datos
Are you looking to dive deep into the world of Big Data, understand its core concepts, and get hands-on with essential tools? Coursera’s ‘Big Data: Adquisición y Almacenamiento de Datos’ (Big Data: Data Acquisition and Storage) is an excellent starting point for anyone aiming to grasp the terminology, fundamental principles, and key applications for tackling data analysis challenges.
This course is designed to provide a systems-level perspective, highlighting the significant hurdles encountered when working with large data volumes. It aims to equip learners with the knowledge to understand and address these challenges effectively.
The syllabus is structured logically, beginning with an essential introduction to the Big Data ecosystem, specifically focusing on Apache Hadoop. You’ll learn about its architecture and primary tools, preparing you for practical exercises involving Hadoop and HDFS.
One of the most practical aspects of this course is the detailed guidance on setting up the Cloudera virtual machine. While the setup requires a machine with specific characteristics (64-bit, at least 6GB RAM, 20GB disk space) and can be time-consuming, it’s crucial for hands-on practice with the tools covered.
The course then transitions into exploring SQL and NoSQL technologies, delving into concepts like consistency, reliability, and scalability. The CAP theorem is explained, emphasizing its importance in distributed systems. You’ll also get an overview of various industry-standard systems.
Data acquisition is another key area, with the course covering the challenges of incorporating data into NoSQL systems and introducing vital Hadoop ecosystem tools like Apache Sqoop. Finally, the syllabus touches upon industrial data analysis tools like Apache Hive and Spark, providing practical experience with these second-generation systems designed for specific industry needs.
**Recommendation:**
‘Big Data: Adquisición y Almacenamiento de Datos’ is highly recommended for aspiring data engineers, analysts, and anyone looking to build a solid foundation in Big Data infrastructure. The blend of theoretical concepts and practical exercises, particularly the hands-on work with the Cloudera VM and tools like Hadoop, HDFS, Sqoop, Hive, and Spark, makes it a valuable learning experience. While the initial setup of the virtual machine might seem daunting, the knowledge gained is well worth the effort. This course effectively demystifies the complexities of Big Data acquisition and storage, setting you up for success in this rapidly evolving field.
Enroll Course: https://www.coursera.org/learn/adquisicion-almacenamiento-de-datos