Creating databases and tables
📖 Scenario: You are working with Hadoop's Hive to organize data for a small online bookstore. You want to create a database and tables to store information about books and authors.
🎯 Goal: Create a Hive database called bookstore. Then create two tables inside this database: authors and books. The authors table should have columns author_id (int) and author_name (string). The books table should have columns book_id (int), title (string), and author_id (int) to link to the authors.
📋 What You'll Learn
Create a Hive database named
bookstoreCreate a table named
authors with columns author_id (int) and author_name (string)Create a table named
books with columns book_id (int), title (string), and author_id (int)Use the
bookstore database before creating tables💡 Why This Matters
🌍 Real World
Organizing data in Hive databases and tables helps manage large datasets in big data projects like online bookstores.
💼 Career
Knowing how to create and manage Hive databases and tables is essential for data engineers and analysts working with Hadoop ecosystems.
Progress0 / 4 steps