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Udemy - Master Flume, Sqoop, Hive for Big Data Ingestion & Analytics

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Última verificado: 01-06-2019 02:34:18

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Nome:Udemy - Master Flume, Sqoop, Hive for Big Data Ingestion & Analytics
Description:


Description

In this course, 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.

Further, you will learn Sqoop Export to migrate data.

   What is sqoop export
   Using sqoop export, migrate data from HDFS to Mysql.
   Using sqoop export, migrate data from Hive to Mysql.

Further, you will learn about Apache Flume

   Understand Flume Architecture.
   Using flume, Ingest data from Twitter and save to HDFS.
   Using flume, Ingest data from netcat and save to HDFS.
   Using flume, Ingest data from exec and show on console.
   Describe flume interceptors and see examples of using interceptors.
   Flume multiple agents
   Flume Consolidation.

Finally, we will start with our last section about Apache Hive

   Hive Intro
   External & Managed Tables
   Working with Different Files – Parquet,Avro
   Compressions
   Hive Analysis
   Hive String Functions
   Hive Date Functions
   Partitioning
   Bucketing

Who this course is for:

   Who want to learn sqoop and flume or who are preparing for CCA and HDPCD certifications

Requirements

   Cloudera vm installation if you want to run examples.

Last updated 4/2019
Video YouTube:
Categoria:Tutorials
Idioma:English  English
Total Size:1.73 GB
Informações Hash:FE05A6600EA046F4C44111002EEF4D4F7E21D4C6
Adicionado por:tutsgalaxy Verified Uploader
Data adicionada:2019-06-01 01:34:16
Torrent Status:Torrent Verified


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