Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.66 GB
Genre: eLearning Video | Duration: 25 lectures (5 hour, 17 mins) | Language: English
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
What you'll learn Homepage: https://www.udemy.com/course/software-mobile-development-2020/
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
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