Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
Full Hands on course to become Big Data Engineer: Spark/Kafka/Hadoop/Flume/Hive/Sqoop/MongoDB. Data Engineering course.
Product Brand: Udemy
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Udemy Coupon Code for Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB Course. Full Hands on course to become Big Data Engineer: Spark/Kafka/Hadoop/Flume/Hive/Sqoop/MongoDB. Data Engineering course.
Created by Navdeep Kaur | 12 hours on-demand video course
Data Engineering Master Course Overview
Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
In this Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB, you will start by learning what is hadoop distributed file system and most common hadoop commands required to work with Hadoop File system. Then you will be introduced to Sqoop Import. Understand lifecycle of sqoop command. Use sqoop import command to migrate data from Mysql to HDFS. Use sqoop import command to migrate data from Mysql to Hive. Use various file formats, compressions, file delimeter,where clause and queries while importing the data. Understand split-by and boundary queries. Use incremental mode to migrate the data from Mysql to HDFS.
What you’ll learn
- Hadoop Ecosystem, Sqoop, Flume, Hive
- Expertise on writing code with Apache Spark
- Learn Kafka Fundamentals and using Kafka Connectors
- Learn writing queries and client in MongoDB
- Learn Data Engineering technologies
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Who this course is for
- Who want to learn Big data technologies
- Who want to become Data Engineers
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Taught by Navdeep Kaur
