Course details

Implementations with BigQuery for Big Data

Implementations with BigQuery for Big Data


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
You can query big data using the BigQuery tool in the Google Cloud Platform. In this course, you'll be introduced to the concepts of using BigQuery, including querying data and using the Google API.

Target Audience
Data professionals who are responsible for provisioning and optimizing big data solutions, and data enthusiasts getting started with Google Cloud Platform

Prerequisites
None

Expected Duration (hours)
1.3

Lesson Objectives

Implementations with BigQuery for Big Data

  • start the course
  • 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
  • Course Number:
    cl_gcde_a08_it_enus

    Expertise Level
    Intermediate