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Data Engineering

Advanced · 9 Labs · 49 Credits · 7h 5m

Cert Exam Practice Data engineering

This advanced-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give developers hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataproc, to Tensorflow, this quest is composed of specific labs that will put your GCP data engineering knowledge to the test. Be aware that while practice with these labs will increase your knowledge and abilities, you will need other preparation too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended.

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Weather Data in BigQuery

In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.

Icon  fundamental fundamental 5 Credits 35 Minutes

Analyzing Natality Data Using Datalab and BigQuery

In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.

Icon  advanced advanced 7 Credits 30 Minutes

Predicting Baby Weight with TensorFlow on Cloud ML Engine

In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.

Icon  expert expert 9 Credits 1 Hour 30 Minutes

Bigtable: Qwik Start - Hbase Shell

This hands-on lab will show you how to use the HBase shell to connect to a Cloud Bigtable instance. Watch the short video Bigtable: Qwik Start - Qwiklabs Preview.

Icon  intro introductory 1 Credit 30 Minutes

Run a Big Data Text Processing Pipeline in Cloud Dataflow

In this lab you will use Google Cloud Dataflow to create a Maven project with the Cloud Dataflow SDK, and run a distributed word count pipeline using the Google Cloud Platform Console.

Icon  advanced advanced 7 Credits 40 Minutes

Dataproc: Qwik Start - Console

This page shows you how to use the Google Cloud Platform Console to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster. Watch the short video Dataproc: Qwik Start - Qwiklabs Preview.

Icon  intro introductory 1 Credit 30 Minutes

Building an IoT Analytics Pipeline on Google Cloud Platform

This lab shows you how to connect and manage devices using Cloud IoT Core; ingest the steam of information using Cloud Pub/Sub; process the IoT data using Cloud Dataflow; use BigQuery to analyze the IoT data.

Icon  advanced advanced 7 Credits 50 Minutes

Working with Google Cloud Dataprep

Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.

Icon  fundamental fundamental 5 Credits 1 Hour

Classify Text into Categories with the Natural Language API

In this lab you’ll learn how to classify text into categories using the Natural Language API

Icon  advanced advanced 7 Credits 1 Hour

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