From Data to Insights with Google Cloud Platform (DIGCP)

Course Description Schedule
 

Course Overview

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!

This two-day instructor-led class teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.

Who should attend

This class is intended for the following:

  • Data Analysts, Business Analysts, Business Intelligence professionals
  • Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform

Prerequisites

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

  • Basic proficiency with ANSI SQL

Course Objectives

This course teaches participants the following skills:

  • Derive insights from data using the analysis and visualization tools on Google Cloud Platform
  • Interactively query datasets using Google BigQuery
  • Load, clean, and transform data at scale
  • Visualize data using Google Data Studio and other third-party platforms
  • Distinguish between exploratory and explanatory analytics and when to use each approach
  • Explore new datasets and uncover hidden insights quickly and effectively
  • Optimizing data models and queries for price and performance

Course Content

Module 1: Introduction to Data on the Google Cloud Platform
  • Highlight Analytics Challenges Faced by Data Analysts
  • Compare Big Data On-Premises vs on the Cloud
  • Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud
  • Navigate Google Cloud Platform Project Basics
  • Lab: Getting started with Google Cloud Platform
Module 2: Big Data Tools Overview
  • Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools
  • Demo: Analyze 10 Billion Records with Google BigQuery
  • Explore 9 Fundamental Google BigQuery Features
  • Compare GCP Tools for Analysts, Data Scientists, and Data Engineers
  • Lab: Exploring Datasets with Google BigQuery
Module 3: Exploring your Data with SQL
  • Walkthrough of a BigQuery Job
  • Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs
  • Optimize Queries for Cost
  • Lab: Calculate Google BigQuery Pricing
Module 4: Google BigQuery Pricing
  • Walkthrough of a BigQuery Job
  • Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs
  • Optimize Queries for Cost
  • Lab: Calculate Google BigQuery Pricing
Module 5: Cleaning and Transforming your Data
  • Examine the 5 Principles of Dataset Integrity
  • Characterize Dataset Shape and Skew
  • Clean and Transform Data using SQL
  • Clean and Transform Data using a new UI: Introducing Cloud Dataprep
  • Lab: Explore and Shape Data with Cloud Dataprep
Module 6: Storing and Exporting Data
  • Compare Permanent vs Temporary Tables
  • Save and Export Query Results
  • Performance Preview: Query Cache
  • Lab: Creating new Permanent Tables
Module 7: Ingesting New Datasets into Google BigQuery
  • Query from External Data Sources
  • Avoid Data Ingesting Pitfalls
  • Ingest New Data into Permanent Tables
  • Discuss Streaming Inserts
  • Lab: Ingesting and Querying New Datasets
Module 8: Data Visualization
  • Overview of Data Visualization Principles
  • Exploratory vs Explanatory Analysis Approaches
  • Demo: Google Data Studio UI
  • Connect Google Data Studio to Google BigQuery
  • Lab: Exploring a Dataset in Google Data Studio
Module 9: Joining and Merging Datasets
  • Merge Historical Data Tables with UNION
  • Introduce Table Wildcards for Easy Merges
  • Review Data Schemas: Linking Data Across Multiple Tables
  • Walkthrough JOIN Examples and Pitfalls
  • Lab: Join and Union Data from Multiple Tables
Module 10: Advanced Functions and Clauses
  • Review SQL Case Statements
  • Introduce Analytical Window Functions
  • Safeguard Data with One-Way Field Encryption
  • Discuss Effective Sub-query and CTE design
  • Compare SQL and Javascript UDFs
  • Lab: Deriving Insights with Advanced SQL Functions
Module 11: Schema Design and Nested Data Structures
  • Compare Google BigQuery vs Traditional RDBMS Data Architecture
  • Normalization vs Denormalization: Performance Tradeoffs
  • Schema Review: The Good, The Bad, and The Ugly
  • Arrays and Nested Data in Google BigQuery
  • Lab: Querying Nested and Repeated Data
Module 12: More Visualization with Google Data Studio
  • Create Case Statements and Calculated Fields
  • Avoid Performance Pitfalls with Cache considerations
  • Share Dashboards and Discuss Data Access considerations
Module 13: Optimizing for Performance
  • Avoid Google BigQuery Performance Pitfalls
  • Prevent Hotspots in your Data
  • Diagnose Performance Issues with the Query Explanation map
  • Lab: Optimizing and Troubleshooting Query Performance
Module 14: Advanced Insights
  • Introducing Cloud Datalab
  • Cloud Datalab Notebooks and Cells
  • Benefits of Cloud Datalab
Module 15: Data Access
  • Compare IAM and BigQuery Dataset Roles
  • Avoid Access Pitfalls
  • Review Members, Roles, Organizations, Account Administration, and Service Accounts
Classroom Training
Modality: C

Duration 2 days

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Online Training
Modality: L
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Click on the location to go directly to the booking page Schedule
Sweden

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FLEX Training

Please see below our alternative, English language, FLEX course options.

24/09/2018 - 25/09/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/London
04/10/2018 - 05/10/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/Prague
22/11/2018 - 23/11/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/Bratislava
17/12/2018 - 18/12/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/London
25/02/2019 - 26/02/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
20/05/2019 - 21/05/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
Europe
Germany
14/01/2019 - 15/01/2019 Hamburg
28/01/2019 - 29/01/2019 Münster
11/02/2019 - 12/02/2019 Munich
25/02/2019 - 26/02/2019 Berlin
11/03/2019 - 12/03/2019 Düsseldorf
25/03/2019 - 26/03/2019 Frankfurt
08/04/2019 - 09/04/2019 Hamburg
29/04/2019 - 30/04/2019 Stuttgart
Austria
11/02/2019 - 12/02/2019 Vienna (iTLS)
13/05/2019 - 14/05/2019 Vienna (iTLS)
05/08/2019 - 06/08/2019 Vienna (iTLS)
11/11/2019 - 12/11/2019 Vienna (iTLS)
Czech Republic
04/10/2018 - 05/10/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/Prague
Italy
28/01/2019 - 29/01/2019 Rome
25/02/2019 - 26/02/2019 Milan
15/04/2019 - 16/04/2019 Rome
27/05/2019 - 28/05/2019 Milan
29/07/2019 - 30/07/2019 Rome
09/09/2019 - 10/09/2019 Milan
18/11/2019 - 19/11/2019 Rome
16/12/2019 - 17/12/2019 Milan
Slovakia
22/11/2018 - 23/11/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/Bratislava
Switzerland
25/03/2019 - 26/03/2019 Zurich
01/07/2019 - 02/07/2019 Zurich
16/09/2019 - 17/09/2019 Zurich
16/12/2019 - 17/12/2019 Zurich
United Kingdom
24/09/2018 - 25/09/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/London
17/12/2018 - 18/12/2018 FLEX training This is an English language FLEX course.
Time zone: Europe/London
25/02/2019 - 26/02/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
20/05/2019 - 21/05/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
Latin America
Brazil
08/10/2018 - 09/10/2018 Online Training Time zone: America/Sao_Paulo Course language: Spanish
Mexico
19/11/2018 - 20/11/2018 Online Training Time zone: America/Mexico_City Course language: Spanish
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This is a FLEX course, which is delivered both virtually and in the classroom. Please note, local pricing is applicable.
 

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