Google Cloud Bigquery Training course singapore

The architectural patterns you explore show how Google Cloud can enable you to move beyond traditional data warehousing practices.

This 4 day instructor-led class teaches course participantsLearn about the Product Deep Dive for Google Big Query as Cloud Datawarehouse platform. Discuss general concepts that are applicable to any data warehousing
technology 

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Key Note Agilitics courses information , Agilitics courses information
Course feature 24x7 Support, Real-time code analysis and feedback, 100% Money Back Guarantee
Interested Audience You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management.

Agilitics courses information , Agilitics courses information

  • 24x7 Support

  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

Course Description

Train powerful models on structured data with Cloud Machine Learning Engine and TensorFlow integrat.

Target Audience

To get the most out of this course, participants should have:

Basic proficiency with ANSI SQL

Prerequisites

You'll have:

  • Experience in Database

  • Familiarity with SQL 

  • Google Cloud Platform

Key Objectives

This course teaches participants the following skills:

Load, clean, and transform data at scale with Google Cloud Dataprep

  • Explore and Visualize data using Google Data Studio.
  • Train classification and forecasting ML models using SQL with BQML
  • Practice with pre-built ML APIs for image and text understanding
  • Troubleshoot, optimize, and write high-performance queries
  • Derive insights from data using the analysis and visualization tools on Google Cloud Platform
Prequisitives
You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management.
Interested Audience
You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management.

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Puli

Develpoer

One of best I have encountered in my life. Freedom to interact and respond candidly and with courage for every question is not an easy task for Trainers which they did it exceptionally well.

Chun Ngee

Develpoer

The course is well structure. Timing is also right. The trainer Mr Raj is professional. And he asnwer all my question and doubts.

Sarbojit Bose

Develpoer

The course is one of the two in the track of Agile Professional Coach. It is designed to provide both wide and deep knowledge to become a competent Coach with the addirional skills of a Trainer and a Mentor. The two trainers, Preeth Panday and Naveen K Singh, are excellent Facilitators and Coaches with patience and promptness. Their mastery in this area stands out while their mode of delivery captures the interest of the trainees. They demonstrated professionalism with a personal touch.

Training FAQ

Course Outline

M1: Data Warehouse Solutions on GCP

M2: BigQuery for Data Warehousing

M3: Migrating to BigQuery

M4: ETL Tools and Positioning

M5: Streaming Analytics

M6: Migrating Spark and Hadoop to GCP

M7: BigQuery Extended Capabilities