What you'll get
- 23+ Hours
- 7 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
- Download Curriculum
Synopsis
- Master Hive fundamentals and architecture
- Install and configure Hive for data processing
- Work with databases, metastore, and data types
- Perform partitioning, bucketing, and joins
- Create and use UDFs, SerDes, and functions
- Implement sorting, ranking, views, and indexes
- Integrate Hive with HBase and other data sources
- Gain practical exposure to the Hadoop ecosystem
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| HIVE Fundamentals | 2h 47m | ✔ | View Curriculum |
| Hive Advanced | 5h 11m | ✔ | View Curriculum |
| HBase Managed HIVE Tables | 5h 07m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Hadoop Project:09 - HIVE - Case Study on Telecom Industry | 2h 2m | ✔ | View Curriculum |
| Hadoop Project:10 - HIVE/MapReduce - Customers Complaints Analysis | 53m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Hadoop Project:11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis | 3h 34m | ✔ | View Curriculum |
| Hadoop Project:12 - HIVE/PIG - Sensor Data Analysis | 5h 26m | ✔ | View Curriculum |
Description
The Hive course provides a comprehensive learning experience for mastering Apache Hive, a key component of the Hadoop ecosystem used for data warehousing and big data analytics. This course covers both foundational and advanced concepts, enabling learners to efficiently store, query, and analyze large datasets using Hive.
During the training, you will gain practical experience with Hive installation, working with data types, integrating with different data sources, and using key features such as Partitioning, Bucketing, Joins, SerDe, UDFs, and advanced queries. Advanced topics include Views, Indexes, Variables, Word Count, Architecture and Parallelism, Purge, SCD, and XML processing. Additionally, learners will gain exposure to HBase, HQL, Hive Metastore, and the Hadoop environment, equipping them with practical skills for real-world applications.
By the end of this course, participants will be able to work with and analyze large datasets using Hive.
Sample Certificate
Requirements
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Basic knowledge of programming (Java, Python, or similar)
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Understanding of big data concepts and the Hadoop ecosystem
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Familiarity with databases and SQL is helpful
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Access to a computer with internet for hands-on practice.
Target Audience
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Aspiring Data Scientists and Data Analysts
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Hadoop Developers and Big Data Professionals
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Software Developers looking to enhance big data skills
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Data Engineers working with large-scale data processing
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Students and professionals interested in Hive and the Hadoop ecosystem
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Anyone looking to pursue a career in data warehousing and big data analytics.
