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How to copy files within folder in AWS S3
https://www.dataspoof.info/post/how-to-copy-files-within-folder-in-aws-s3/
https://www.dataspoof.info/post/how-to-copy-files-within-folder-in-aws-s3/
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Complete Data Science end to end training
Duration- 8 months
For curriculum and fees structure
https://www.dataspoof.info/training/
Duration- 8 months
For curriculum and fees structure
https://www.dataspoof.info/training/
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Gpt4o
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Education is shifting. Teachers beware.
Kids are going to get great tutoring going forward.
The future is so, so bright.
#OpenAI #gpt4o #ai #gpt #llms
Kids are going to get great tutoring going forward.
The future is so, so bright.
#OpenAI #gpt4o #ai #gpt #llms
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The basics of reinforcement learning in simple words
https://www.dataspoof.info/post/basics-of-reinforcement-learning/
https://www.dataspoof.info/post/basics-of-reinforcement-learning/
Post #932
10.3K
Reflecting on a memorable interview experience with Kotak Mahindra Bank for the SDE-2 (Data Engineering) role! 🌟 It comprised four stimulating rounds, featuring two bar raiser and two internal rounds.
Round 1: Delved deep into DS & Algo, SQL data modeling, and Data Warehousing, setting the stage for a robust discussion.
Round 2: Focused on Pipeline designing and Spark, challenging me to showcase my skills in designing efficient data pipelines.
Round 3: Dived into SQL and Spark optimization, where I had the opportunity to demonstrate my expertise in enhancing performance.
Round 4: A dynamic mix of everything, including streaming and writing ETL for various scenarios, truly putting my skills to the test.
Round 1: Delved deep into DS & Algo, SQL data modeling, and Data Warehousing, setting the stage for a robust discussion.
Round 2: Focused on Pipeline designing and Spark, challenging me to showcase my skills in designing efficient data pipelines.
Round 3: Dived into SQL and Spark optimization, where I had the opportunity to demonstrate my expertise in enhancing performance.
Round 4: A dynamic mix of everything, including streaming and writing ETL for various scenarios, truly putting my skills to the test.
Post #931
10.2K
𝗣𝗪𝗖 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝗗𝗮𝘁𝗮 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫) ⭐→
The whole interview process had 3 rounds of 1 hour each.
🔸 The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python.
There were questions like the following:
→ Optimisation techniques used in projects; Issues faced in the project; Hadoop questions.
🔸 After clearing this round, I moved on to the next round, which was a Case-Study based round.
I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like:
→ Spark job process; Optimizations of spark; Sqoop interview questions.
After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered.
🔸 Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like:
→ Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available.
The whole interview process had 3 rounds of 1 hour each.
🔸 The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python.
There were questions like the following:
→ Optimisation techniques used in projects; Issues faced in the project; Hadoop questions.
🔸 After clearing this round, I moved on to the next round, which was a Case-Study based round.
I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like:
→ Spark job process; Optimizations of spark; Sqoop interview questions.
After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered.
🔸 Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like:
→ Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available.
Post #930
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