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Using Googles Cloud For Developers - Google BigQuery

Course Summary

In this course you will learn what Google's cloud offering for querying massive datasets by using a SQL-like language is. You will learn the capacities of the offering, i.e. what types of query workloads you can execute and costs. You will learn what aspe


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    Course Syllabus

    ● Intro to Google BigQuery
        ◦ Intro and Outline - What is BigQuery?
        ◦ About Dremel and What is BigQuery really?
        ◦ Why should you use BigQuery? Data Processing and other services
        ◦ Getting Started
    ● Getting started with BigQuery
        ◦ Web Consoles and Data Sources
        ◦ DEMO: Using the Console
        ◦ DEMO: Uploading Data
        ◦ BigQuery Jobs and Datasets
        ◦ Demo: Using Datasets
        ◦ Understanding Queries
        ◦ Working with Nested Data, More query flexibility
        ◦ Demo: Executing Basic Queries
        ◦ Demo: Executing Intermediate Queries
        ◦ Understanding Billing
        ◦ Demo: Understanding Billing
        ◦ Understanding Apache Drill Architecture
        ◦ Demo: Speed Test
    ● Using BigQuery
        ◦ 3rd party tools and BigQuery
        ◦ Demo: Excel and BQ
        ◦ Demo: 3rd party tools
        ◦ Setting up BigQuery bq tool
        ◦ Demo: Using bq tool
        ◦ Understanding the BigQuery API in the API Explorer Console
        ◦ Demo: Trying out BigQuery APIs via the Explorer
    ● Using BigQuery API in Java
        ◦ Big Query Programming In Java
        ◦ Demo: Java programming with BigQuery part 1 - setup
        ◦ Demo: Java programming with BigQuery part 2 - java query
        ◦ Demo: Java programming with BigQuery part 3 - async java query
    ● Next steps and futures with BigQuery
        ◦ Taking BigQuery Further and Google Fiber
        ◦ Demo: Using Developer Resources for BigQuery
        ◦ Closing

     


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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