What is datalake,data warehouse and delta lake?
Welcome to Answerclub.org
Questions | Answers | Discussions | Knowledge sharing | Communities & more.
Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Questions | Answers | Discussions | Knowledge sharing | Communities & more.
1. Data Lake: Imagine a big, deep lake where you can store all kinds of data—raw data, structured data, unstructured data, basically anything you want. Just like a lake collects water from different sources, a data lake collects data from various sources like databases, logs, sensors, and more. It’s a central place to store large volumes of data in its native format, making it easy to access and analyze later.
2. Data Warehouse: Now, think of a data warehouse as a neatly organized storage facility, like a warehouse. It’s where you store structured data that’s been cleaned, transformed, and organized for easy analysis. Unlike a data lake, which stores raw data in its original form, a data warehouse stores data in a structured format optimized for querying and analysis. It’s typically used for business intelligence, reporting, and decision-making purposes.
3. Delta Lake: Delta Lake is like a supercharged version of a data lake. It adds features like ACID transactions, schema enforcement, and data versioning on top of a traditional data lake. This means you get the scalability and flexibility of a data lake, but with the reliability and consistency of a data warehouse. Delta Lake is designed to handle big data workloads and ensure data integrity, making it a powerful tool for modern data analytics and machine learning applications.