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