Amazon Data Engineer - Must to Have Skill Sets || Beginners || Experienced || Interviews 🔥

To summarize all your doubts & queries regarding Data Engineer skill sets, I have created this video. Based on 3 years of my industry experience, I have tried my level best to give you relevant suggestion about Data Engineering skill sets, you can follow it to begin with Data Engineering and even prepare for interviews too.

Myself 𝗦𝗵𝗮𝘀𝗵𝗮𝗻𝗸 𝗠𝗶𝘀𝗵𝗿𝗮 - 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 @ 𝗔𝗺𝗮𝘇𝗼𝗻 | 𝗘𝘅 - 𝗠𝗰𝗞𝗶𝗻𝘀𝗲𝘆 & 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 | 𝗘𝘅 - 𝗣𝗮𝘆𝘁𝗺.

Subscribe the channel, if you liked the video then like and share it. Keep Learning, Keep Growing.

𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗲𝗱 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀:

0:00 Start
✅ 1:55 -- Understanding of programming language & DSA - Must to have
✅ 3:36 -- Basics & fundamentals of BigData & DWH - Must to have
✅ 5:07 -- SQL (Structured Query Language) - Must to have
✅ 6:54 -- Knowledge of transactional and NoSQL databases - Must to have
✅ 8:00 -- Data visualization & ETL tools - Good to have
✅ 9:25 -- Exposure of cloud services - Must to have for experienced candidates

𝙁𝙤𝙡𝙡𝙤𝙬 𝙪𝙨 𝙊𝙣 𝙎𝙤𝙘𝙞𝙖𝙡 𝙢𝙚𝙙𝙞𝙖 𝙛𝙤𝙧 𝙙𝙖𝙞𝙡𝙮 𝙛𝙚𝙚𝙙𝙨 & 𝙦𝙪𝙞𝙯𝙚𝙨🔥

✅ELB LinkedIn Page - https://www.linkedin.com/company/elearningbridge/
✅ELB Facebook Page - https://www.facebook.com/elearningbridge/
✅ELB Instagram Page - https://www.instagram.com/elearningbridge/
✅Shashank LinkedIn - https://www.linkedin.com/in/shashank219/
✅Shashank Instagram - https://www.instagram.com/_shashank_219/
✅Shashank Facebook - https://www.facebook.com/shashank.mishra.92167/
✅Shashank Twitter - https://twitter.com/Shashan80573621/
✅Telegram Group - LearningBridge

✅For Official Queries - elearningbridge@gmail.com
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝘁𝗼 𝗯𝗲 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗱 𝗳𝗼𝗿 𝗕𝗶𝗴𝗗𝗮𝘁𝗮 & 𝗗𝗪𝗛 𝗯𝗮𝘀𝗶𝗰𝘀 :

📌 Learning Journal - @Learning Journal
📌 Edureka - @edureka!

𝗕𝗶𝗴𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗛𝗮𝗱𝗼𝗼𝗽 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 :

📌 Hadoop architecture, Map-Reduce, HDFS, Yarn
📌 Apache Spark
📌 Hive
📌 Flume
📌 Sqoop
📌 Zookeeper
📌 Ambari, Hue
📌 Oozie, Airflow, Azkaban

𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 :

📌 Apache Kafka
📌 Apache Flink
📌 Apache Storm
📌 AWS Kinesis
📌 Spark Streaming

𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼𝗽𝗶𝗰𝘀 𝗶𝗻 𝗦𝗤𝗟 :

📌 Joins
📌 Group By
📌 Nested joins
📌 Case-When conditions
📌 Window functions

𝗘𝗧𝗟 𝗧𝗼𝗼𝗹𝘀 :

📌 Informatica
📌 Talend
📌 Alooma
📌 Xplenty

𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 :

📌 Tableau
📌 Power BI
📌 Qlik Sense
📌 Grafana
📌 Kibana

𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 :

📌 Amazon Aurora
📌 PostgreSQL
📌 MySQL
📌 MariaDB
📌 Oracle
📌 SQL Server

𝗡𝗼-𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 :

📌 DynamoDB
📌 Cassandra
📌 MongoDB
📌 ElasticSearch
📌 HBase
📌 Couchbase
📌 Redis

𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝘁𝗼 𝗯𝗲 𝘂𝘀𝗲𝗱 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 (𝗔𝗪𝗦) :

📌 Lambda
📌 Glue
📌 SNS
📌 SQS
📌 Redshift
📌 S3
📌 EMR

#amazon #dataengineer #importantskillset

Видео Amazon Data Engineer - Must to Have Skill Sets || Beginners || Experienced || Interviews 🔥 канала E-Learning Bridge