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Data Engineering on Google Cloud Platform

Categories Google Cloud
Course Duration: 96h
₹42,960.00
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Objectives

  • This course teaches participants the following skills:
  • Design and build data processing systems on Google Cloud Platform
  • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
  • Derive business insights from extremely large
  • datasets using Google BigQuery
  • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
  • Enable instant insights from streaming data

Prerequisite

  • To get the most of out of this course, participants should have:
  • Completed Google Cloud Fundamentals- Big Data and Machine Learning course #8325 OR have equivalent experience
  • Basic proficiency with common query language such as SQL
  • Experience with data modeling, extract, transform, load activities
  • Developing applications using a common programming language such Python
  • Familiarity with Machine Learning and/or statistics

Target Audience

  • This class is intended for the following:
  • Extracting, loading, transforming, cleaning, and validating data
  • Designing pipelines and architectures for data processing
  • Creating and maintaining machine learning and statistical models
  • Querying datasets, visualizing query results and creating reports

Course Curriculum

Module 1: Google Cloud Dataproc Overview

Module 2: Running Dataproc Jobs

Module 3: Integrating Dataproc with Google Cloud Platform

Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs

Module 5: Serverless data analysis with BigQuery

Module 6: Serverless, autoscaling data pipelines with Dataflow

Module 7: Getting started with Machine Learning

Module 8: Building ML models with Tensorflow

Module 9: Scaling ML models with CloudML

Module 10: Feature Engineering

Module 11: Architecture of streaming analytics pipelines

Module 12: Ingesting Variable Volumes

Module 13: Implementing streaming pipelines

Module 14: Streaming analytics and dashboards

Module 15: High throughput and low-latency with Bigtable

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Mata College, Seaport Airport Road, Kakkanad,
Kochi, Kerala – 682021.

Phone : +91 6362234133 

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