NoSQL, Big Data, and Spark Foundations
Completed by Dany-Armand Djeudeu-Deudjui
February 27, 2023
Approximately 1 months at 10 hours a week to completeDany-Armand Djeudeu-Deudjui's account is verified. Coursera certifies their successful completion of IBM NoSQL, Big Data, and Spark Foundations Specialization.
Course Certificates Completed
Introduction to NoSQL Databases
Introduction to Big Data with Spark and Hadoop
Data Engineering and Machine Learning using Spark
What you will learn
Work with NoSQL databases to insert, update, delete, query, index, aggregate, and shard/partition data.
Develop hands-on NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.
Develop foundational knowledge of Big Data and gain hands-on lab experience using Apache Hadoop, MapReduce, Â Apache Spark, Spark SQL, and Kubernetes.
Perform Extract, Transform and Load (ETL) processing and Machine Learning model training and deployment with Apache Spark.
Course Certificates
Earned after completing each course in the Specialization
Introduction to NoSQL Databases
IBM
Taught by: Rav Ahuja, Ramesh Sannareddy, Steve Ryan & Muhammad Yahya
Completed by: Dany-Armand Djeudeu-Deudjui by February 26, 2023
5 weeks of study, 2-4 hours/week
Introduction to Big Data with Spark and Hadoop
IBM
Taught by: Aije Egwaikhide, Romeo Kienzler & Rav Ahuja
Completed by: Dany-Armand Djeudeu-Deudjui by February 27, 2023
7 weeks of study, 2-4 hours / week
Data Engineering and Machine Learning using Spark
IBM
Taught by: Karthik Muthuraman & Romeo Kienzler
Completed by: Dany-Armand Djeudeu-Deudjui by February 26, 2023
3 weeks of study, 1-2 hours/week