下载 PacktPub | Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark [Video] [FCO] torrent - GloDLS
洪流细节 "PacktPub | Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark ..."

PacktPub | Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark ...

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
下载这洪流
Download using Magnet Link

健康:
种子: 44
懒鬼: 5
已完成: 1,388 
上次检查: 20-10-2020 12:17:41

上传者的声誉点 : 17083





Write a Review for the Uploader:   235   Say Thanks with one good review:
Share on Facebook


Details
name:PacktPub | Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark ...
说明:


By: Navdeep Kaur
Released: July 17, 2019
Course Source: https://www.packtpub.com/data/master-big-data-ingestion-and-analytics-with-flume-sqoop-hive-and-spark-video

Complete course on Sqoop, Flume, and Hive: Great for CCA175 and Hortonworks Spark Certification preparation

Video Details

ISBN 9781839212734
Course Length 5 hours 38 minutes

Learn

• Explore the Hadoop Distributed File System (HDFS) and commands
• Get to grips with the lifecycle of the Sqoop command
• Use the Sqoop Import command to migrate data from MySQL to HDFS and Hive
• Understand split-by and boundary queries
• Use the incremental mode to migrate data from MySQL to HDFS
• Employ Sqoop Export to migrate data from HDFS to MySQL
• Discover Spark DataFrames and gain insights into working with different file formats and compression

About

In this course, you will start by learning about the Hadoop Distributed File System (HDFS) and the most common Hadoop commands required to work with HDFS. Next, you’ll be introduced to Sqoop Import, which will help you gain insights into the lifecycle of the Sqoop command and how to use the import command to migrate data from MySQL to HDFS, and from MySQL to Hive.

In addition to this, you will get up to speed with Sqoop Export for migrating data effectively, along with using Apache Flume to ingest data. As you progress, you will delve into Apache Hive, external and managed tables, working with different files, and Parquet and Avro. Toward the concluding section, you will focus on Spark DataFrames and Spark SQL.

By the end of this course, you will have gained comprehensive insights into big data ingestion and analytics with Flume, Sqoop, Hive, and Spark.

All code and supporting files are available at - https://github.com/PacktPublishing/Master-Big-Data-Ingestion-and-Analytics-with-Flume-Sqoop-Hive-and-Spark

Features:

• Learn Sqoop, Flume, and Hive and successfully achieve CCA175 and Hortonworks Spark Certification
• Understand the Hadoop Distributed File System (HDFS), along with exploring Hadoop commands to work effectively with HDFS

Author

Navdeep Kaur - Technical Trainer Navdeep Kaur is a big data professionals with 11 years of industry experience in different technologies and domains. She has a keen interest in providing training in new technologies. She has received CCA175 Hadoop and Spark developer certification and AWS solution architect certification. She loves guiding people and helping them achieves new goals.



YouTube 视频:
类别:Tutorials
语言:English  English
总大小:1.55 GB
哈希信息:F6B35FCBE81A3DF334E3CAD88E2744A98493E4F9
增加:Prom3th3uS Super AdministratorMovie PirateVIP
加入的日期:2020-02-21 19:14:36
洪流地位:Torrent Verified


评级:Not Yet Rated (Log in to rate it)


Tracker:
udp://open.demonii.si:1337/announce

这个洪流也有备份的纤夫
URL播种机懒鬼已完成
udp://open.demonii.si:1337/announce000
udp://p4p.arenabg.com:1337/announce000
udp://tracker.torrent.eu.org:451/announce3242
udp://tracker.cyberia.is:6969/announce40538
udp://9.rarbg.to:2710/announce6114
udp://exodus.desync.com:6969/announce300
udp://explodie.org:6969/announce200
udp://denis.stalker.upeer.me:6969/announce000
udp://tracker.opentrackr.org:1337/announce71151
udp://tracker.tiny-vps.com:6969/announce7052
udp://ipv4.tracker.harry.lu:80/announce200
udp://tracker.coppersurfer.tk:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce3114
udp://open.stealth.si:80/announce70577
udp://tracker.pirateparty.gr:6969/announce000


文件列表: 





Comments
无可奉告,仍将过帐