Lynda.Data.Science.on.Google.Cloud.Platform.Building.Data.Pipelines-XQZT

Section
Appz
Group
XQZT
Size
152,87 MB
Files
6
Date
2018-08-23

NFO

Another exquisit release

Lynda.Data.Science.on.Google.Cloud.Platform.Building.Data.Pipelines-XQZT

     Title: Data Science on Google Cloud Platform: Building Data Pipelines
 Publisher: Lynda
      Size: 154M (160293372 B)
     Files: 4F
      Date: 08/23/2018

  Course #: 699344
      Type: Big Data
 Published: 8/22/2018
  Modified: N/A
       URL: www.lynda.com/course-tutorials/Data-Science-Google-Cloud-Platform-Building-Data-Pipelines/699344-2.html
    Author: Kumaran Ponnambalam
  Duration: 1h 7m
     Skill: Intermediate
 Exer/Code: [X]

Installation:
Unpack that shit, run that shit

Notes:
Cloud computing brings unlimited scalability and elasticity to
data science applications. Expertise in the major platforms, such as
Google Cloud Platform (GCP), is essential to the IT
professional. This course—one of a series by veteran cloud
engineering specialist and data scientists Kumaran
Ponnambalam—shows how to use the latest technologies in GCP to
build a big data pipeline that ingests, transports, and
transforms data entirely in the cloud. Learn how to set up data
processing jobs using Apache Beam and Cloud Dataflow. Discover how
to leverage Cloud Pub/Sub for stream ingestion and real-time
messaging. Finally, find out how to process the stream events in
Cloud Dataflow. The course uses an end-to-end use case that shows
how to apply the knowledge and best practices from the course in a
practical data science workflow.

Files

PathSize
ldsogcpbdp-3cc3-xqzt.nfo1,41 KB
ldsogcpbdp-3cc3-xqzt.r0047,68 MB
ldsogcpbdp-3cc3-xqzt.r0147,68 MB
ldsogcpbdp-3cc3-xqzt.r029,81 MB
ldsogcpbdp-3cc3-xqzt.rar47,68 MB
ldsogcpbdp-3cc3-xqzt.sfv140 B