Fundamentals

---

• Python https://www.udacity.com/course/design-of-computer-programs--cs212 (Optional if you want to be good) (Difficult)

• In-depth databases (https://www.youtube.com/playlist?list=PLSE8ODhjZXjbohkNBWQs_otTrBTrjyohi) (Optional if you want to be good) (Difficult)

• Data base normalization https://www.youtube.com/watch?v=GFQaEYEc8_8

• ACID https://www.youtube.com/watch?v=yaQ5YMWkxq4

• NoSQL https://www.youtube.com/watch?v=9mdadNspP_M&t=135s

• Data warehouse

  • https://www.youtube.com/watch?v=IdCmMkQLvGA
  • https://www.youtube.com/watch?v=gRE3E7VUzRU
  • https://www.youtube.com/watch?v=qDmqE89DSQQ&t=1358s

Big data

---

• Hadoop https://www.youtube.com/watch?v=aReuLtY0YMI

• Map-reduce

  • https://www.youtube.com/watch?v=cHGaQz0E7AU&t=464s
  • https://www.youtube.com/watch?v=EmHc9hV5Xi8

• HDFS https://www.youtube.com/watch?v=4Gfl0WuONMY

• Spark architecture https://www.youtube.com/watch?v=OlYKyZvN2FA

• Spark https://www.udemy.com/course/best-hands-on-big-data-practices-and-use-cases-using-pyspark/

• Kafka

  • https://www.youtube.com/watch?v=Ch5VhJzaoaI&t=315s
  • https://www.youtube.com/watch?v=KerNf0NANMo

Cloud

---

• AWS https://www.udemy.com/course/aws-data-engineer/

Projects

---

• https://www.youtube.com/playlist?list=PL_Ct8Cox2p8UlTfHyJc3RDGuGktPNs9Q3