What you'll learn

Deploy Managed Hadoop apps on the Google Cloud
Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub

Requirements

Basic understanding of technology - superficial exposure to Hadoop is enough

Description

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

What's Included:

Compute and Storage - AppEngine, Container Enginer (aka Kubernetes) and Compute Engine

Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub

TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.

DevOps stuff - StackDriver logging, monitoring, cloud deployment manager

Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts

Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect

Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)

Who this course is for:

Yep! Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud

Homepage: https://www.udemy.com/course/software-mobile-development-2020/

Download Part 01

Download Part 02

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