That being said, at the time of my knowledge cutoff, edX offered the following certifications related to Hadoop and Spark:

1. Hadoop and Spark for Big Data: This certification program focuses on providing a comprehensive understanding of Hadoop and Spark frameworks. It covers topics such as the Hadoop Distributed File System (HDFS), MapReduce, Apache Spark, and related concepts. The certification aims to validate your knowledge and skills in using these technologies to process and analyze large datasets.

1. Big Data Analysis with Apache Spark: This certification program specifically concentrates on Apache Spark, an open-source distributed computing system used for big data processing. The certification covers topics such as Spark architecture, data manipulation using Spark’s core API, Spark SQL, Spark Streaming, and machine learning with Spark’s MLlib. It aims to demonstrate your proficiency in utilizing Spark for data analysis tasks.

While both certifications have a focus on big data processing and analysis, the first one encompasses a broader range of topics, including Hadoop and Spark, while the second one concentrates solely on Spark.

Keep in mind that the exact curriculum, requirements, and assessment methods may vary for each certification. Therefore, I recommend visiting the edX website or contacting their support for the most accurate and up-to-date information regarding their Hadoop and Spark certification programs.