Big Data and Machine Learning in the Cloud

A Part of Google Cloud Platform Fundamentals - Core Infrastructure.

Beginner 4(1 Ratings)
What will you learn?
  • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
  • Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
  • Employ BigQuery and Cloud Datalab to carry out interactive data analysis
  • Train and use a neural network using TensorFlow
  • Employ ML APIs
  • Choose between different data processing products on the Google Cloud Platform

Live training
  • Date : July 03, 2021
  • Time (GMT) : 14:00:00
  • Time (EST) : 09:00:00
  • Duration : 120 Minutes
  • Basic proficiency with common query language such as SQL.
  • Experience with data modelling, extract, transform, load activities.
  • Developing applications using a common programming language such Python.
  • Familiarity with machine learning and/or statistics.

This session is a part of Google Cloud Platform Fundamentals - Core Infrastructure. In this, you will study about help customers get the most out of data. These tools are intended to be simple and practical to embed in your applications. This module describes the available big-data and machine learning services and explains the usefulness of each.


Big Data and Machine Learning in the Cloud

  • Introduction to Google Cloud Platform.
  • Product Recommendations using Cloud SQL and Spark.
  • Real-time Dashboards with Pub/Sub, Dataflow, and Data Studio.
  • Deriving Insights from Unstructured Data using Machine Learning.

Demo: Big Data and Machine Learning in the Cloud

  • BigQuery


  • The cloud’s pay-per-use model is good for bursty AI or machine learning workloads.
  • The cloud makes it easy for enterprises to experiment with machine learning capabilities and scale up as projects go into production and demand increases.
  • The cloud makes intelligent capabilities accessible without requiring advanced skills in artificial intelligence or data science.
  • AWS, Microsoft Azure, and Google Cloud Platform offer many machine learning options that don’t require deep knowledge of AI, machine learning theory, or a team of data scientists.

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