- Scripting Languages
- Apache Hadoop
- Data Manipulation
- Apache Spark
- Databases
- Data Transformation
- Query Languages
- Big Data
- Apache Hive
- Data Management
- NoSQL
- Distributed Computing
Data Analysis Using Hadoop Tools
Completed by Hala Anas Kahwajy
February 26, 2025
23 hours (approximately)
Hala Anas Kahwajy's account is verified. Coursera certifies their successful completion of Data Analysis Using Hadoop Tools
What you will learn
Learn to set up and configure Hive, Pig, HBase, and Spark for efficient big data analysis and processing within the Hadoop ecosystem.
Master Hive’s SQL-like queries for data retrieval, management, and optimization using partitions and joins to enhance query performance.
Understand Pig Latin for scripting data transformations, including the use of operators like join and debug to process large datasets effectively.
Gain expertise in NoSQL databases with HBase for real-time read/write operations, and use Spark’s core programming model for fast data processing.
Skills you will gain
