This class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations and demos participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning.
The course covers structured, unstructured, and streaming data. This course is a must for a data centric role such as a developer or database administrator
This course is a really comprehensive guide to the Google Cloud Platform – it has ~25 hours of content and ~60 demos.
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.
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)
Quel est le public ciblé ?
Yep! Anyone looking to use the Google Cloud Platform in their organizations
Yep! Any one who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP
Yep! Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud
Yep! Anyone looking to build TensorFlow models and deploy them on the cloud
SALE PAGE | Price: 19,99
Google Cloud Platform Data Engineering: Videos, PDFs | Size: 847 MB