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Hadoop and Spark Fundamentals: Unit 3
Coursera MOOC / Non-credit 0

Hadoop and Spark Fundamentals: Unit 3

About this course

This course is for those who want to become data engineers or analysts. It covers the key skills needed to manage, process, and analyze large datasets using common industry tools. You will learn how to import data into Hadoop HDFS, Hive tables, and use Spark for direct HDFS imports. The course also covers handling streaming data with Apache Flume and connecting relational databases to Hadoop with Apache Sqoop. You will use Apache Zeppelin for developing Spark applications and learn how to install, monitor, and manage Hadoop clusters with Ambari. The course also introduces advanced HDFS features for data management. By the end, you will be able to use Hadoop and Spark in practical settings.

C

60/100

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16/20

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What you'll learn

  • import data into Hadoop HDFS
  • work with Hive tables
  • perform direct HDFS imports using Spark
  • handle streaming data with Apache Flume
  • connect relational databases to Hadoop using Sqoop
  • develop Spark applications with Apache Zeppelin
  • install and manage Hadoop clusters with Ambari
  • utilize advanced HDFS features for data management
Data Analysis #data analysis #spark #streaming data #hadoop #flume #hdfs #ambari #zeppelin #apache hive #database connection #apache sqoop
$49.00

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