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    Modernizing Data Lakes and Data Warehouses

    BY
    Google via Coursera

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    Lavel

    Intermediate

    Mode

    Online

    Duration

    4 Weeks

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based
    Learning efforts 10 Hours Per Week

    Course and certificate fees

    certificate availability

    Yes

    certificate providing authority

    Coursera

    The syllabus

    Week 1: Introduction

    Videos
    • Course Series Introduction
    • Course introduction

    Week 1: Introduction to Data Engineering

    Videos
    • Module Introduction
    • The role of a data engineer
    • Data engineering challenges
    • Introduction to BigQuery
    • Data lakes and data warehouses
    • Transactional databases versus data warehouses
    • Partner effectively with other data teams
    • Manage data access and governance
    • Demo: Finding PII in your dataset with the DLP API
    • Build production-ready pipelines
    • Google Cloud customer case study
    • Recap
    • Lab Intro: Using BigQuery to do Analysis
    • Getting Started with Google Cloud and Qwiklabs
    Practice Exercise
    • Introduction to Data Engineering

    Week 1: Building a Data Lake

    Videos
    • Module Introduction
    • Introduction to Data Lakes
    • Data storage and ETL options on Google Cloud
    • Build a data lake using Cloud Storage
    • Secure Cloud Storage
    • Store all sorts of data types
    • Cloud SQL as a relational Data Lake
    • Lab Intro: Loading Taxi Data into Google Cloud SQL
    Practice Exercise
    • Building a Data Lake

    Week 2: Building a data warehouse

    Videos
    • Module Introduction
    • The modern data warehouse
    • Introduction to BigQuery
    • Demo: Querying TB of data in seconds
    • Get started with BigQuery
    • Load data into BigQuery
    • Lab Intro: Loading Data into BigQuery
    • Explore schemas
    • Demo: Exploring Schemas
    • Schema design
    • Nested and repeated fields
    • Demo: Nested and repeated fields
    • Design the optimal schema for BigQuery
    • Lab Intro: Working with JSON and Array data in BigQuery
    • Optimize with partitioning and clustering
    • Review
    Practice Exercise
    • Building a Data Warehouse

    Week 2: Summary

    Video
    • Course Summary

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