Mitglied seit 2022
[DEPRECATED] Data Engineering
Earned Apr 19, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Apr 19, 2022 EDT
Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten
Earned Apr 9, 2022 EDT
Cloud-Entwicklung
Earned Apr 8, 2022 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 6, 2022 EDT
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills 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. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Mit dem Skill-Logo zum Kurs Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Erstellen von Pipelines für die Datentransformation nach BigQuery mithilfe von Dataprep von Trifacta; Extrahieren, Transformieren und Laden (ETL) von Workflows mit Cloud Storage, Dataflow und BigQuery; und Erstellen von Machine-Learning-Modellen mithilfe von BigQuery ML.
Dieser Kurs für Einsteiger unterscheidet sich von anderen Kursangeboten. Die Labs sind so gewählt, dass sie IT-Profis praktische Kenntnisse zu Themen und Diensten vermitteln, die Bestandteil der Zertifizierungsprüfung zum Google Cloud Certified Associate Cloud Engineer sind. Die Labs des Kurses umfassen Themen wie IAM, Networking und Bereitstellung in der Kubernetes Engine, bei denen Sie Ihr Wissen über Google Cloud unter Beweis stellen können. Mithilfe der Übungen im Rahmen dieser Labs können Sie zwar Ihre Kenntnisse und Fähigkeiten erweitern, Sie sollten sich jedoch auch den Prüfungsleitfaden und andere verfügbare Vorbereitungsressourcen ansehen.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.