Enroll Course: https://www.coursera.org/learn/big-data-integration-processing
Embarking on a journey into the world of big data can be daunting, especially for those new to the field. Fortunately, Coursera’s ‘Big Data Integration and Processing’ course offers a structured and accessible entry point. As the third course in the Big Data Specialization, it builds upon foundational knowledge, making it an ideal next step after completing ‘Intro to Big Data’.
Right from the start, the course gets practical. You’re guided through setting up the Cloudera VM, downloading necessary datasets, and launching the Jupyter server. This hands-on approach is crucial for understanding the complexities of big data.
The syllabus is thoughtfully divided into key areas. The ‘Retrieving Big Data’ modules (Parts 1 and 2) cover both relational querying with PostgreSQL and NoSQL data retrieval using MongoDB and Aerospike, introducing you to data aggregation and the power of Pandas data frames. This dual focus is essential for handling the diverse nature of big data sources.
The ‘Big Data Integration’ module introduces powerful tools like Splunk and Datameer, providing practical insights into how information integration is actually performed in real-world scenarios. Following this, the ‘Processing Big Data’ module dives into big data pipelines and workflows, with a strong emphasis on Apache Spark.
To truly solidify understanding, the course dedicates significant time to ‘Big Data Analytics using Spark’. Here, you’ll explore the inner workings of Spark Core and get acquainted with crucial components like Spark MLlib for machine learning and GraphX for graph processing. The capstone of the course, ‘Learn By Doing: Putting MongoDB and Spark to Work’, offers a fantastic opportunity to apply your newfound skills by analyzing real-world Twitter data using MongoDB and Spark.
This course excels in its ability to demystify complex big data concepts. It equips learners with the skills to retrieve data from various systems, understand the necessity of data integration, and execute basic processing tasks on Hadoop and Spark platforms. If you’re looking to gain practical, hands-on experience in big data integration and processing, this course is a highly recommended starting point.
Enroll Course: https://www.coursera.org/learn/big-data-integration-processing