Implementations with BigQuery for Big Data

Google Cloud 2018
  • 11 Videos | 1h 11m 44s
  • Includes Assessment
  • Earns a Badge
Likes 22 Likes 22
You can query big data using the BigQuery tool in the Google Cloud Platform. Discover the concepts of using BigQuery, including querying data and using the Google API.

WHAT YOU WILL LEARN

  • describe initialization actions for creating Dataproc clusters
    specify how functions, operators, and data types are used with BigQuery
    define the steps in installing a storage connector
    recall the steps to load data with BigQuery
    identify the steps in exporting and updating data with BigQuery
    describe the various processes in using Google notebooks with Datalab
  • recall the process for using Jupyter Notebooks with Apache Spark in Google Cloud Dataproc
    identify the storage options with Google Cloud Storage
    query data using Google Bigtable
    identify the various Google APIs
    describe the concepts of BigQuery and big data using Datalab

IN THIS COURSE

  • Playable
    1. 
    Implementing Initialization Actions with GCP
    4m 53s
    UP NEXT
  • Playable
    2. 
    Using Functions and Operators with BigQuery
    6m 9s
  • Locked
    3. 
    Configuring Connectors with BigQuery
    7m 28s
  • Locked
    4. 
    Loading Data with BigQuery
    5m 7s
  • Locked
    5. 
    Updating and Extracting Data with BigQuery
    5m 44s
  • Locked
    6. 
    Programming Notebooks with Jupyter and Datalab
    6m 30s
  • Locked
    7. 
    Using Jupyter Notebooks with Apache Spark
    8m 4s
  • Locked
    8. 
    Using Google Cloud Storage and SQL
    5m 52s
  • Locked
    9. 
    Querying Data with Google Bigtable
    6m 19s
  • Locked
    10. 
    Using Google APIs
    4m 48s
  • Locked
    11. 
    Exercise: Using Dataproc with Bigtable and Datalab
    10m 49s

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