下载 Udemy - Apache Spark with Java – Hands On! torrent - GloDLS
洪流细节 "Udemy - Apache Spark with Java – Hands On!"

Udemy - Apache Spark with Java – Hands On!

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: 0
懒鬼: 0
已完成:
上次检查: 22-04-2021 01:44:58

上传者的声誉点 : 3932





Write a Review for the Uploader:   0   Say Thanks with one good review:
Share on Facebook


Details
name:Udemy - Apache Spark with Java – Hands On!
说明:

Description

Apache Spark is the next generation batch and stream processing engine. It’s been proven to be almost 100 times faster than Hadoop and much much easier to develop distributed big data applications with. It’s demand has sky rocketed in recent years and having this technology on your resume is truly a game changer. Over 3000 companies are using Spark in production right now and the list is growing very quickly!  Some of the big names include: Oracle, Hortonworks, Cisco, Verizon, Visa, Microsoft, Amazon as well as most of the big world banks and financial institutions!

In this course you’ll learn everything you need to know about using Apache Spark in your organization while using their latest and greatest Java Datasets API.  Below are some of the things you’ll learn:

   How to develop Spark Java Applications using Spark SQL Dataframes
   Understand how the Spark Standalone cluster works behind the scenes
   How to use various transformations to slice and dice your data in Spark Java
   How to marshall/unmarshall Java domain objects (pojos) while working with Spark Datasets
   Master joins, filters, aggregations and ingest data of various sizes and file formats (txt, csv, Json etc.)
   Analyze over 18 million real-world comments on Reddit to find the most trending words used
   Develop programs using Spark Streaming for streaming stock market index files
   Stream network sockets and messages queued on a Kafka cluster
   Learn how to develop the most popular machine learning algorithms using Spark MLlib
   Covers the most popular algorithms: Linear Regression, Logistic Regression and K-Means Clustering

You’ll be developing over 15 practical Spark Java applications crunching through real world data and slicing and dicing it in various ways using several data transformation techniques. This course is especially important for people who would like to be hired as a java developer or data engineer because Spark is a hugely sought after skill. We’ll even go over how to setup a live cluster and configure Spark Jobs to run on the cloud. You’ll also learn about the practical implications of performance tuning and scaling out a cluster to work with big data so you’ll definitely be learning a ton in this course. This course has a 30 day money back guarantee. You will have access to all of the code used in this course.
Who this course is for:

   Anyone who is a Java developer and want’s to add this seriously marketable technology on their resume
   Anyone who wants to get into the data science field
   Anyone who is interested in into the world of big data
   Anyone who wants to implement machine learning algorithms in spark

Requirements

   Some basic Java programming experience is required. A crash course on Java 8 lambdas is included
   You will need a personal computer with an internet connection.
   The software needed for this course is completely freely and I’ll walk you through the steps on how to get it installed on your computer

Last updated 8/2019
YouTube 视频:
类别:Tutorials
语言:English  English
总大小:5.05 GB
哈希信息:4F262A5D9D716B95EBE6CFD5E775E583092B26F9
增加:tutsgalaxy Verified Uploader
加入的日期:2019-08-20 22:21:00
洪流地位:Torrent Verified


评级:Not Yet Rated (Log in to rate it)


Tracker:
udp://tracker.openbittorrent.com:80/announce

这个洪流也有备份的纤夫
URL播种机懒鬼已完成
udp://tracker.openbittorrent.com:80/announce002
udp://tracker.leechers-paradise.org:6969/announce000
udp://eddie4.nl:6969/announce000
udp://tracker.opentrackr.org:1337/announce000
udp://tracker.coppersurfer.tk:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce000
udp://9.rarbg.to:2790/announce000
udp://tracker.pirateparty.gr:6969/announce000
udp://tracker.internetwarriors.net:1337/announce000
udp://9.rarbg.com:2790/announce000
udp://9.rarbg.me:2730/announce000
udp://denis.stalker.upeer.me:6969/announce000
udp://open.demonii.si:1337/announce000


文件列表: 





Comments
无可奉告,仍将过帐