data engineering videos

[Yogic24]

Hello everyone,

let's start with few data engineering preparations. 

20 Data Engineering videos to clear your Interview.

Save and Reshare♥️

1. RDDs Vs DataFrames Vs Datasets -
https://lnkd.in/gzrRtDFM

2. Apache Spark Optimization techniques - https://lnkd.in/gmdyB_2z

3. Row based vs Column based file formats - https://lnkd.in/g94V-qzn

4. SQL vs NoSQL
https://lnkd.in/gPP-wjgW

5. Database vs Data Warehouse vs Data Lake - https://lnkd.in/gE-yUVYW

6. Namenode vs Datanode in Hadoop - https://lnkd.in/gigEi8wz

7. Fault Tolerance in Hadoop -
https://lnkd.in/ggYq2TVp

8. Internal vs External table in Hive -
https://lnkd.in/g5TKz4ii

9. Hive architecture -
https://lnkd.in/g8CrPaV3

10. MapReduce architecture -
https://lnkd.in/g44av9JD

11. Sqoop Import vs Export -
https://lnkd.in/gDAw5zJz

12. Spark architecture -
https://lnkd.in/gJbumAq7

13. Spark context vs Spark session - https://lnkd.in/gJJqwmBP

14. Normalization vs denormalization - https://lnkd.in/g4VE3X-h

15. Narrow Vs Wide Transformations - https://lnkd.in/gKRtyhTw

16. Partitioning Vs Bucketing -
https://lnkd.in/gHeSfXDz

17. SCD types and use cases - https://lnkd.in/gB-M5dEM

18. Repartition and Coalesce -
https://lnkd.in/gng5NiMJ

19. Group by key vs reduce by key - https://lnkd.in/g_pFzKzg

20. Hbase architecture -
https://lnkd.in/gtyi8xsH

🙌feel free to connect me and share you knowledge with all our peers in this forum.

[Yogic24 · Accepted solution]

please feel free to share this group invites with all your women's friend's