There are several reasons why students should consider learning Vertica database:

1. Growing demand: Vertica is gaining popularity in the data analytics and big data industry, and companies are actively seeking professionals with Vertica expertise.
2. High salaries: As the demand for Vertica professionals is increasing, the salaries offered for such roles are also on the rise, making it a lucrative career choice.
3. Easy to learn: Vertica is designed to be user-friendly and easy to learn, especially for individuals who have experience with SQL.
4. Fast performance: Vertica is optimized for large-scale data analytics, allowing for faster processing and analysis of data compared to traditional databases.
5. Widely used: Vertica is used by many large companies across a variety of industries, including finance, healthcare, retail, and technology, giving professionals the opportunity to work in different sectors.

Overall, learning Vertica can open up several career opportunities for students in the data analytics and big data industry.

Vertica is a columnar analytic database that is highly optimized for big data analytics workloads. Learning Vertica has several benefits, including:

1. Fast query performance: Vertica is designed for large-scale data analytics and can deliver fast query performance on massive amounts of data. Its columnar storage architecture and query execution engine help to minimize I/O and CPU usage, leading to faster query results.
2. Scalability: Vertica is highly scalable and can handle massive amounts of data with ease. Its distributed architecture allows it to scale horizontally across commodity hardware.
3. Advanced analytics: Vertica has in-built support for advanced analytics, including machine learning, geospatial analysis, and text search. This makes it an ideal platform for data scientists and analysts who need to perform complex analyses on large data sets.
4. Data compression: Vertica uses advanced compression algorithms that can reduce the storage footprint of data by up to 90%. This results in significant cost savings on storage infrastructure.
5. SQL compatibility: Vertica is fully SQL-compliant, which means that users can use standard SQL queries to analyze data. This makes it easier for SQL developers and analysts to get started with Vertica.
6. Integration: Vertica integrates with a wide range of data sources, including Hadoop, Spark, and Kafka. This makes it easy to ingest and analyze data from various sources.

Overall, learning Vertica can be beneficial for anyone working in the field of big data analytics, data warehousing, and business intelligence. Its advanced analytics capabilities, fast query performance, and scalability make it an ideal platform for organizations that need to analyze large amounts of data.