Hands on Google cloud platform(GCP) - Data Engineer
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Brief Introduction
Data Engineer CertificationDescription
This course is exclusively designed by NoTEZ to teach about GCP in most simplest way possible.
Students who enrolled for our previous courses on GCP had requested more in the series and hence this course is live.
If you havn't enrolled for our Other courses, enroll today n start exploring more.
This course is designed to give idea about Google' s data engineer certification But Not limited to just that.
This course will give you indepth practical knowledge on various components of GCP.
Enroll today & explore more
Course Overview
Module 1- Introduction
All about Google certification, Overview –Data Engineer Certification, What is and why to use CLOUD?
Module 2 - Hands on GCP
Labs
Module 3 –Hadoop
Introduction to,Hadoop, Hadoop-bigger picture, Hadoop- In detail, HIVE, HBASE,PIG
Module 4- Compute
Introduction to Computing, Google compute engine(GCE), Preemptible Virtual Machine, Google APP engine (G A E), Google container engine ,Kubernetes ( GKE),Comparison,Labs
Module 5- Storage
Introduction, Cloud Storage, BIGQUERY, Data Store, More on cloud storage, Working with cloud storage, Transfer service, Cloud SQL, Cloud SQL – PROXY, Cloud Spanner, Hot Spotting, Data Types, Transactions , Staleness, Labs
Module 6-Big Table
Big Table Introduction, Columnar store, Denormalized Storage, CRUD Operations, Column families, Choice of BigTable
Module 7-Datalab
Module 8-Pub/Sub
Module 9- Dataflow
Module 10-BigQuery
BigQuery Data Model, Querying & Viewing,Labs
Module 11-Machine Learning & Tensorflow
Introduction to Machine Learning, Typical usage of Mechine Learning, Types,
The Mechine Learning block diagram, Deep learning & Neural Networks, Labels, Understanding Tenser Flow, Computational Graphs, Tensors, Linear regression , Placeholders & variables,
Image processing in Tensor Flow, Image as tensors, M-NIST – Introduction, K-nearest neighbors Algorithm, L1 distance, Steps in K- nearest neighbour implementation, Neural Networks in Real Time, Learning regression and learning XOR
Linear Regression, Gradient descent, Logistic Regression, Logit, Activation function,Softmax, Cost function -Cross entropy,Labs
Module 12-Operation & Security
Stack driver, Stack driver Logging, Cloud Deployment Manager, Cloud Endpoints, Cloud IAM ,API keys, Cloud IAM- Extended, Labs,
Requirements
- Requirements
- Desire to learn
- Some basic knowledge of RDBMS and SQL is good to have.
- Some basic knowledge about cloud
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