Home Course category BI Engineer Learning JourneyPage 2
  • Kickstart BigQuery on GCP in a Day

    10 weeks
    All levels
    0 lessons
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    Duration:   1 Day Code:  BDT184 Category:  

    BigQuery is a data warehouse service that Google has developed using the Software as a Service (SaaS) principle on their cloud platform.

  • Kickstart Snowflake in a Day

    10 weeks
    All levels
    0 lessons
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    Duration:   1 Day Code:  BDT172 Category:  

    Snowflake was developed from ground up to use advanced cloud computing features provided by Software as a Service (SaaS).

  • Intermediate Spark 3.X

    10 weeks
    All levels
    0 lessons
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    Duration:   2 Days Code:  BDT167 Category:  

    This course is an introduction to Apache Spark version 3.x.

  • Python for Beginners

    10 weeks
    All levels
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    Duration:   12 Hours (Four Sessions, Each 3-hours) Code:  BDT165 Category:  

    Learn how to code in Python, one of the most popular programming languages today. This class covers the fundamentals of developing scripts to automate routine work and scale large-load work.

  • SQL Essentials

    10 weeks
    All levels
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    Duration:   6 hours (Two Sessions, 3-3-hours ) Code:  BDT159 Category:  

    This class covers how to create or delete database and tables, and how to grant/revoke access. Data insertion, deletion, or modification will be practiced.

  • ETL Processing on Google Cloud Using Dataflow and BigQuery

    10 weeks
    All levels
    0 lessons
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    Duration:   1 Day Code:  BDT105 Category:  

    Gain practical expertise in constructing ETL data pipelines on Google Cloud through hands-on experience. This course employs a blend of informative lectures, live demonstrations, and interactive labs to guide you through the intricacies of designing data processing systems and constructing comprehensive end-to-end data pipelines

  • Data Modeling: Basics

    10 weeks
    All levels
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    Duration:   2 Days Code:  BDT61 Category:  

    The Data Modeling : Basics course will provide basic information about organizing data per the system/ group / enterprise wide. Thus, enable and unleash the capability to capture and store any kind of data and provide analytical feasibility.