Uploaded May 2024 | Updated September 2026, 44 minutes ago
Ever felt overwhelmed by the vast amount of data out there? You're not alone! This video demystifies the world of Big Data, introducing you to the essential tools that data scientists use to navigate and harness its power.
Key Takeaways:
◉ Hadoop & Spark: The power couple for storing & processing massive datasets.
◉ Kafka & Storm: Masters of real-time data streaming, turning data torrents into insights.
◉ HDFS & Bigtable: Robust storage solutions for housing your ever-growing data.
◉ Cassandra & MongoDB: Flexible NoSQL databases for evolving data structures.
◉ Airflow & Luigi: Workflow orchestration wizards to automate complex data pipelines.
This video equips you with the knowledge to confidently explore this exciting field. Subscribe for more Data Science adventures!
_____________________________________________________________________
👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale
______________________________________________________________________
Timeline:
Intro: (0:00)
The pillars of processing: (0:22)
The architects of streams: (1:02)
Big Data Storage: (1:35)
Workflow: (2:40)
Conclusion: (3:02)
______________________________________________________________________
About The StrataScratch Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com
______________________________________________________________________
#BigData #DataScience #MachineLearning #ArtificialIntelligence #Programming
Ever felt overwhelmed by the vast amount of data out there? You're not alone! This video demystifies the world of Big Data, introducing you to the essential tools that data scientists use to navigate and harness its power.
Key Takeaways:
◉ Hadoop & Spark: The power couple for storing & processing massive datasets.
◉ Kafka & Storm: Masters of real-time data streaming, turning data torrents into insights.
◉ HDFS & Bigtable: Robust storage solutions for housing your ever-growing data.
◉ Cassandra & MongoDB: Flexible NoSQL databases for evolving data structures.
◉ Airflow & Luigi: Workflow orchestration wizards to automate complex data pipelines.
This video equips you with the knowledge to confidently explore this exciting field. Subscribe for more Data Science adventures!
_____________________________________________________________________
👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale
______________________________________________________________________
Timeline:
Intro: (0:00)
The pillars of processing: (0:22)
The architects of streams: (1:02)
Big Data Storage: (1:35)
Workflow: (2:40)
Conclusion: (3:02)
______________________________________________________________________
About The StrataScratch Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com
______________________________________________________________________
#BigData #DataScience #MachineLearning #ArtificialIntelligence #Programming










![Advanced Facebook Data Science SQL interview question [RANK()]
This advanced SQL question is from the Facebook data science interview that tests your ability to write window functions and rank data and use some advanced functions like coalesce. It’s a complicated question that involves subqueries and joins and also tests your knowledge in rankings.
Link to the question to follow along with me: https://platform.stratascratch.com/coding/2007-rank-variance-per-country?python=&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timeline:
Intro: (0:00)
Interview Question: (0:33)
Framework to solve the problem: (0:58)
Understand your data: (2:18)
Formulate your approach: (5:38)
Code Execution: (8:42)
Conclusion: (23:05)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
#FacebookDataScienceInterview Advanced Facebook Data Science SQL interview question [RANK()]](https://i.ytimg.com/vi/PlpUo6bHsBQ/mqdefault.jpg)