Udemy – Big Data Master – Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo 2023-12 – Download

explanation

Big Data Master – Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo, course name, comprehensive data and popular tools and frameworks such as Apache Spark, Hadoop, etc. These include Sqoop., Flume, and Apache Hive. In this course, you will first learn about the distributed Hadoop file system and its applications and learn the most common commands. It then explains how to enter data using Sqoop and others. The life cycle dictates this. We teach you how to transfer data from Mysql to HDFS and Hive, as well as using files in different formats, compression, and jQuery. You will also learn how to use Sqoop (from HDFS and Hive to MySQL) to get output from your data.

It will be familiar to continue with the architecture of Apache Flume and use it to pull data from Twitter and netcat and store it in HDFS using Flume Interceptors and Flume Consolidation. The next section on Apache Hive is dedicated to working with external and managed tables, various files such as Parquet and Avro, compression, uploading, analytics in Hive, etc. Partitions and buckets for data classification are provided, including functions, strings, and history Hive. Finally, using the Apache Spark framework, an overall view of the cluster, cluster ( Cluster ), distributed, flexible or RDD, data forms, operations and reshaping of example datasets with Spark, scaling and compression of operations are also different and Spark SQL and Integration with Cassandra will be familiar.

What to learn

Hadoop Distributed File System and Sqoop Command Lifecycle
Sqoop command to transfer data from MySQL to HDFS and Hive
Various file formats, compression and query operations
Sqoop Help Using Incremental Mode in Data Transfer
Get data from the source to help Flume
and…

This training is suitable for:

Anyone who wants to know more about data macros

Master Big Data Profile – Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo

publisher: Udemy
Instructor: Navdeep Kaur
Language:English
Education level: Preparatory to advanced
Number of classes: 126 classes
Duration: 11 hours 16 minutes

Course content

Big Data Master - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo

precondition

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Big Data Master - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo

sample video

installation manual

Custom view after extraction to player.

Subtitles: English

Quality: 720p

Changes:

Compared to the 2020/8 version, the 2023/12 version has increased the number of lessons to 40 and the class time to 2 hours and 54 minutes.