Apache Pig Hive
Instructor-led training in Apache Pig Hive. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This course provides an in-depth exploration of Apache Pig and Hive, essential tools for processing and querying large datasets in a distributed computing environment. You will learn how to utilize these technologies effectively for data analysis and management, which is critical in today’s data-driven landscape.
What you'll learn
- You will be able to write and execute Pig Latin scripts for data transformations.
- You will be able to define and manage Hive databases and tables.
- You will be able to perform data queries using HiveQL.
- You will be able to integrate Pig and Hive with Hadoop ecosystems.
- You will be able to optimize data processing tasks for performance.
- You will be able to troubleshoot and debug data processing jobs.
- You will be able to implement data pipeline workflows using Pig and Hive.
Curriculum
8 modules · outline is indicative and can be tailored to your team.
1Introduction to Apache Pig
- Overview of Pig and its ecosystem
- Understanding Pig Latin syntax
- Setting up the Pig environment
2Data Processing with Pig
- Loading and storing data in Pig
- Data transformation operations
- User-defined functions in Pig
3Introduction to Apache Hive
- Overview of Hive and its architecture
- Hive data model and storage formats
- Setting up the Hive environment
4Querying Data with HiveQL
- Basic and advanced HiveQL queries
- Joins and aggregations in Hive
- Managing partitions and buckets
5Integrating Pig and Hive
- Using Pig with Hive tables
- Data interchange between Pig and Hive
- Best practices for integration
6Performance Optimization
- Optimizing Pig scripts
- Performance tuning Hive queries
- Resource management in Hadoop
7Troubleshooting and Debugging
- Common errors and solutions in Pig and Hive
- Debugging Pig scripts
- Using Hive logs for troubleshooting
8Real-World Use Cases
- Case studies of Pig and Hive applications
- Building data pipelines for analytics
- Future trends in big data processing
Prerequisites
No prior experience required.
Who should attend
This course is ideal for data analysts, data engineers, and IT professionals looking to enhance their skills in big data processing.
Certification
Frequently asked questions
What is the delivery format of the course?
The course is delivered instructor-led, live-online.
How long is the course duration?
The course is designed to be completed in 16 hours over four sessions.
Will I receive a certificate upon completion?
Yes, you will receive an Skilvi course-completion certificate.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
What are the prerequisites for this course?
No prior experience required.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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