Tools for the data scientists working at scale

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!


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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​​)

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About The StrataScratch Platform:

StrataScratch (https://platform.stratascratch.com/co...) 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 https://platform.stratascratch.com/co.... 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.

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Contact:

If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at [email protected]

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#BigData #DataScience #MachineLearning #ArtificialIntelligence #Programming