
Apache Hive
Apache Hive is a crucial skill in today's data-driven world as it enables organizations to effectively query, analyze, and manage large datasets in a distributed computing environment. Organizations hire candidates who excel in Apache Hive to leverage its capabilities in data warehousing and analytics, allowing them to extract valuable insights and make informed decisions. With Apache Hive, businesses can efficiently process vast amounts of structured and semi-structured data, enhancing their ability to gain actionable intelligence and drive strategic initiatives.
Assessment Details
US $15
Performance Analysis report
40 minutes
40 MCQ
Certificate of Specialization
Credential of Readiness
Test Syllabus
The Apache Hive Skill Test is a comprehensive evaluation that measures a candidate's practical understanding and application of Apache Hive, a data warehouse infrastructure built on Hadoop. This test focuses on assessing the candidate's ability to manage tables, perform data manipulation operations, configure and run Hive, and utilize key features and techniques.
Topics covered in the test:
External and Managed Tables
HCatalog and WebHCat
Hive DDL Operations
Hive DML Operations
Hive File Formats
Installing, Configuring, and Running Hive
Introduction to Hive
Operators Precedences
Partitioning and Bucketing
Related Roles
Candidates with Apache Hive skills play a pivotal role in optimizing data storage, performing complex queries, and streamlining data processing workflows, thereby enhancing operational efficiency and enabling organizations to make informed strategic decisions. By excelling in Apache Hive, candidates can secure internship or full-time roles that contribute significantly to data warehousing, analytics, and database management, making a meaningful impact on an organization's data-driven initiatives.
Internship Roles:
Hive Data Analyst Intern
Data Warehouse Intern
Big Data Analytics Intern
Data Engineer Intern
Database Management Intern
Full-Time Roles:
Hive Data Analyst
Data Warehouse Developer
Big Data Engineer
Data Engineer
Database Administrator
Data Analyst
Business Intelligence Developer
ETL Developer
Data Architect
Data Scientist (with Hive expertise)
Data Operations Engineer
Data Warehouse Manager
Frequently asked questions
Haven’t found what you’re looking for?
Try the Internset Help Center or Contact us
Companies seeking Mechatronics Engineering skills