Google Cloud Professional Data Engineer Course [2019 Update]

About this course

[UPDATED CONTENT 2019 Exam]Storage SolutionsOLAP vs OLTP databasesConsistency concepts.Transactional consistency for various data storage solutions.Cloud StorageGsutil command line interface.DatastoreDatastore indexing - what is it, how to update, upload.BigQueryUpdate of BigQuery practicals including authorised views in the new BQ UI.Concepts of temporary tables.Types of schemas BQ accepts.BigTableBigTable fit for purpose of time-series data.Cbt command line interface for BigTable.BigTable consistency concepts and highly available configuration.DataflowDeploying dataflow jobs and what’s running in the background.Dataflow job monitoring through console -> Cloud Dataflow Monitoring Interface and also gcloud dataflow commands.Updating a dataflow streaming job on the fly.Logging of Cloud Dataflow jobs.Cloud Dataflow Practical - Running job locally and using Dataflow ServiceHadoop & DataprocApache Spark jobsStackdriverExport logs to BigQuery for further analysis, why and how.Machine Learning Solutions - New SectionIntroduction of new GCP ML products and open source products such as Cloud Machine Learning Engine, BigQuery ML, Kubeflow & Spark MLCloud AutoML -> AutoML Vision, AutoML Vision EdgeDialogflow - GCP’s Chatbot builderConcept of edge computing and distributed computingGoogle cloud’s TPU (Tensor Processing Unit)Common t