What is the difference between Database vs. Data lake vs. Warehouse?
In this video, we will describe the differences between database, data lake and data warehouse.
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Databases are typically structured with a defined schema. Items are organized as a set of tables with columns and rows. Columns include attributes and rows indicate an object or entity.
Database is typically designed to be transactional and they are not designed to perform data analytics.
A data warehouse exists on top of several databases and used for business intelligence. Data warehouse consumes data from all these databases and creates a layer optimized to perform data analytics. Schema is done on import.
A data lake is a centralized repository for structured and unstructured data storage. Data lakes could be used to store raw data as is without any structure (schema). There is no need to perform any ETL or transformation jobs on it. You can store many types of data such images, text, files, videos. You can store machine learning models artifacts, real-time data, and analytics outputs in data lakes. Processing could be done on export so schema is defined on read.
I hope you guys enjoyed my videos. Please subscribe for more videos!
https://www.youtube.com/channel/UC76VWNgXnU6z0RSPGwSkNIg
Thanks!
#database #datalake #datawarehouse #s3
Видео What is the difference between Database vs. Data lake vs. Warehouse? канала Stemplicity
If you like this content, please check out the following top-rated courses on Udemy:
AWS SageMaker Practical for Beginners | Build 6 Projects
https://www.udemy.com/course/practical-aws-sagemaker-6-real-world-case-studies/?referralCode=36D5AA54496B682D0D65
AWS Machine Learning Certification Exam | Complete Guide
https://www.udemy.com/course/amazon-web-services-machine-learning/?referralCode=07A0615400D9D1766930
Modern Artificial Intelligence with Zero Coding
https://www.udemy.com/course/modern-artificial-intelligence-with-zero-coding/?referralCode=62EE759C06EF0BAF699A
Python & Machine Learning for Financial Analysis
https://www.udemy.com/course/ml-and-python-in-finance-real-cases-and-practical-solutions/?referralCode=4B6502E065821E886C6E
Modern Artificial Intelligence Masterclass: Build 6 Projects
https://www.udemy.com/course/modern-artificial-intelligence-applications/?referralCode=3A1C79099D9CCB1D482B
Data Science for Business | 6 Real-world Case Studies
https://www.udemy.com/course/data-science-for-business-6-real-world-case-studies/?referralCode=028F68A46A519870807B
TensorFlow 2.0 Practical
https://www.udemy.com/course/tensorflow-2-practical/?referralCode=2009364111D673CAB7D6
TensorFlow 2.0 Practical Advanced
https://www.udemy.com/course/tensorflow-2-practical-advanced/?referralCode=57D1520CB407568F7E81
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https://www.udemy.com/course/artificial-intelligence-in-arabic/?referralCode=72FD85D08ADCBA46E903
The Complete MATLAB Computer Programming Bootcamp
https://www.udemy.com/course/the-complete-computer-programming-boot-camp/?referralCode=4B2A7BFAF95EFC4ABD32
Databases are typically structured with a defined schema. Items are organized as a set of tables with columns and rows. Columns include attributes and rows indicate an object or entity.
Database is typically designed to be transactional and they are not designed to perform data analytics.
A data warehouse exists on top of several databases and used for business intelligence. Data warehouse consumes data from all these databases and creates a layer optimized to perform data analytics. Schema is done on import.
A data lake is a centralized repository for structured and unstructured data storage. Data lakes could be used to store raw data as is without any structure (schema). There is no need to perform any ETL or transformation jobs on it. You can store many types of data such images, text, files, videos. You can store machine learning models artifacts, real-time data, and analytics outputs in data lakes. Processing could be done on export so schema is defined on read.
I hope you guys enjoyed my videos. Please subscribe for more videos!
https://www.youtube.com/channel/UC76VWNgXnU6z0RSPGwSkNIg
Thanks!
#database #datalake #datawarehouse #s3
Видео What is the difference between Database vs. Data lake vs. Warehouse? канала Stemplicity
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