Streaming Pipelines and Analytics

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

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Overview/Description
Streaming data pipelines require operations that are very different from batch operations. This course introduces data stream operations, analytics, and the Google Data Studio visualization tool.

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)
1.2

Lesson Objectives

Streaming Pipelines and Analytics

start the course

describe late data use in stream operations

define watermarks, triggers, and accumulation as they relate to stream operations

demonstrate the process of configuring Cloud Storage, BigQuery resources, and Cloud Pub/Sub in support of a streaming data pipeline

configure Cloud Functions in support of a streaming data pipeline

demonstrate the process of building a streaming data pipeline with Cloud Dataflow

define the process of batch and stream operations

describe concepts in streaming analytics in GCP

specify the relationship between big data streaming and BigQuery

describe how to use Google Data Studio

demonstrate how to use Data Studio by building a dashboard

describe how to use pipelines, PCollections, and transforms

describe the architecture of stream analytics and how to use Google Data Studio

Course Number:
cl_gcde_a14_it_enus

Expertise Level
Intermediate