[ WebToolTip.com ] Udemy - Top 101 Data Engineering Interview Questions

[ WebToolTip.com ] Udemy - Top 101 Data Engineering Interview Questions metadata, size 1348.32 MB, 107 files, category video, indexed at 2026-07-24.

大小:1.3 GB 格式:mp4 分类:视频 文件数量:107 个 发掘时间:2026-07-25 03:29:39 最后活跃:2026-07-25 03:29:39

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Infohashde3300cb3b3104972c440f17fdccbd092656fa44 总大小1.3 GB 格式mp4 分类视频 文件数107 发掘时间(北京时间)2026-07-25 03:29:39 最后活跃(北京时间)2026-07-25 03:29:39

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文件列表

文件名格式大小
Get Bonus Downloads Here.urlurl180 B
1 -How to use this course (Slides + Voiceover transcripts + Practice approach).mp4mp411.6 MB
2 -Why interviews focus on problem-solving, not just theory.mp4mp423.6 MB
1 -Round 1 SQL + Behavioral Mix.mp4mp44.0 MB
2 -Round 2 Data Modeling + System Design.mp4mp45.0 MB
3 -Round 3 Cloud + End-to-End Case Study.mp4mp438.7 MB
1 -Q1. What is the difference between OLTP and OLAP systems.mp4mp48.5 MB
10 -Q10. Explain the difference between DELETE, TRUNCATE, and DROP.mp4mp412.4 MB
11 -Q11. What are ACID properties in databases, and why are they important.mp4mp412.6 MB
12 -Q12. Explain the difference between WHERE vs HAVING clauses.mp4mp48.2 MB
13 -Q13. What is a Stored Procedure vs a Function in SQL.mp4mp410.1 MB
14 -Q14. What are Views in SQL, and when would you use them.mp4mp411.4 MB
15 -Q15. Explain Aggregate Functions vs Analytic Functions.mp4mp414.1 MB
16 -Q16. How do you handle NULL values in SQL queries.mp4mp411.7 MB
17 -Q17. Explain the difference between INNER JOIN vs FULL OUTER JOIN with examples.mp4mp49.7 MB
18 -Q18. What is a Self Join and when is it useful.mp4mp41.4 MB
19 -Q19. Second highest salary from an Employee table.mp4mp414.4 MB
2 -Q2. Explain INNER JOIN vs LEFT JOIN with examples.mp4mp46.0 MB
20 -Q20. concept of Transactions and how to implement them in SQL.mp4mp412.0 MB
3 -Q3. What are Window Functions in SQL and why are they useful.mp4mp47.4 MB
4 -Q4. How would you optimize a slow SQL query.mp4mp412.0 MB
5 -Q5. Explain Primary Key, Foreign Key, and Unique Key differences.mp4mp48.3 MB
6 -Q6. (CTE) and how is it different from a Subquery.mp4mp49.9 MB
7 -Q7. Explain UNION vs UNION ALL with examples.mp4mp47.5 MB
8 -Q8. What is the difference between Normalization and Denormalization.mp4mp410.6 MB
9 -Q9. What are Indexes in SQL and what types exist (Clustered vs Non-Clustered).mp4mp415.1 MB
1 -Q1. What is the difference between Data Warehouse, Data Lake, and Data Lakehouse.mp4mp416.3 MB
10 -Q10. How do you design a surrogate key vs natural key in a warehouse.mp4mp411.2 MB
11 -Q11. What are Orchestration tools (Airflow, ADF, Glue) and how do they differ.mp4mp411.2 MB
12 -Q12. How do you handle late arriving dimensions in ETL.mp4mp413.6 MB
14 -Q14. How do you handle CDC (Change Data Capture) in ETL pipelines.mp4mp412.8 MB
15 -Q15. What are some common ETL performance optimization techniques.mp4mp414.5 MB
2 -Q2. Explain Star Schema vs Snowflake Schema with examples.mp4mp411.2 MB
3 -Q3. What are Fact Tables and Dimension Tables Give real-world examples.mp4mp410.0 MB
4 -Q4. What are Slowly Changing Dimensions (SCDs) Explain different types (Type 1,.mp4mp416.6 MB
5 -Q5. What is the difference between ETL and ELT processes.mp4mp415.0 MB
6 -Q6. How do you handle schema changes in ETL pipelines.mp4mp419.6 MB
7 -Q7. What are Incremental Load vs Full Load strategies in data pipelines.mp4mp48.5 MB
8 -Q8. What are Data Quality checks in ETL, and why are they important.mp4mp416.1 MB
9 -Q9. What is Data Partitioning and how does it help performance in DWH.mp4mp416.6 MB
1 -Q1. What is the difference between (HDFS) and traditional file systems.mp4mp414.1 MB
10 -Q10. How does Checkpointing and Caching work in Spark, and why are they importan.mp4mp413.4 MB
11 -Q11. What is the difference between Batch Processing and Stream Processing.mp4mp410.4 MB
12 -Q12. Explain Spark Structured Streaming and how it handles real-time data.mp4mp424.6 MB
13 -Q13. What are Partitions in Spark, and how do they affect performance.mp4mp412.7 MB
14 -Q14. What are some common Spark optimization techniques.mp4mp411.7 MB
15 -How do you handle schema evolution and semi-structured data (JSON, Avro).mp4mp413.7 MB
2 -Q2. Explain MapReduce and why it was important in the Hadoop ecosystem.mp4mp419.9 MB
3 -Q3. What are the differences between RDD, DF, and Dataset in Apache Spark.mp4mp414.2 MB
4 -Q4. Explain lazy evaluation in Spark and why it’s useful.mp4mp412.9 MB

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