Podcast Beta
Questions and Answers
What is the primary purpose of a data warehouse?
What is the main difference between a data mart and a data warehouse?
What is the primary function of the ETL process?
What is the relationship between a data pipeline and the ETL process?
Signup and view all the answers
What is the primary purpose of data modeling?
Signup and view all the answers
What is the main difference between a data model and data modeling?
Signup and view all the answers
Study Notes
Databases
- Databases can be relational or non-relational, each with its own set of organizational principles, data types, and query tools.
Data Warehouses and Data Marts
- Data warehouses consolidate incoming data into a comprehensive storehouse.
- Data marts are subsections of a data warehouse, built to isolate data for a particular business function or use case.
Data Lakes
- Data lakes serve as storage repositories for large amounts of structured, semi-structured, and unstructured data in their native format.
Big Data Stores
- Big data stores provide distributed computational and storage infrastructure to store, scale, and process large data sets.
ETL Process and Data Pipelines
- The ETL (Extract, Transform, and Load) process is an automated process that converts raw data into analysis-ready data.
- The ETL process involves extracting data from source locations, transforming raw data by cleaning, enriching, standardizing, and validating it, and loading the processed data into a destination system or data repository.
- A data pipeline is often used interchangeably with the ETL process, encompassing the entire journey of moving data from the source to a destination data lake or application.
Data Modeling
- Data modeling is used to visually represent data using text and symbols.
- A data model is a structure used to organize data to ensure that all the data objects required by the database or data warehouses are accurately presented.
- Data models are classified based on their levels of abstraction, such as conceptual, logical, and physical.
- There are four types of data models based on the types of data used: Entity-relationship or E-R model, hierarchical model, network model, and relational model.
- Data modeling provides insights into the data, helps clean data, improves communication between stakeholders, saves resources, and supports compliance.
Big Data
- Big data refers to the huge amounts of real-time data produced by people, tools, and machines.
- The sheer velocity, volume, and variety of data challenge the tools and systems used for conventional data.
- Processing tools and platforms designed specifically for big data include Apache Hadoop, Apache Hive, and Apache Spark.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
