GCP Data Engineering Online Recorded Demo Video

GCP Data Engineering Online Recorded Demo Video

Mode of Training: Online

Contact +91-9989971070

Visit: https://visualpath.in/

WhatsApp: https://www.whatsapp.com/catalog/917032290546/

To subscribe to the Visualpath channel & get regular updates on further courses: https://www.youtube.com/@VisualPath

Watch demo video@ https://youtu.be/ylv-fI3klOo?si=Ef05ANwyQQTB_3zD 


Comments

Post a Comment

Popular posts from this blog

What is GCP Data Engineering? & Key components and services

Image
  What is GCP Data Engineering? Google Cloud Platform  (GCP) Data Engineering refers to the set of tools, services, and practices provided by Google Cloud for designing, building, and maintaining data processing systems. GCP provides a comprehensive set of data engineering services that enable enterprises to efficiently and scalable acquire, process, store, and analyze enormous amounts of data. These services cater to various data engineering needs, including data integration, transformation, storage, and analytics.  - Google Cloud Data Engineering Course Key components and services within GCP Data Engineering include: BigQuery: Google's fully managed, serverless data warehouse allows for quick SQL queries that take advantage of Google's infrastructure's processing capacity. It's suitable for analyzing large datasets. Cloud Dataprep: A cloud-based data preparation service that helps clean, enrich, and transform raw data into a more structured format for analysis.  - Goo
Read more

What is Google BigQuery? & Characteristics and Key features

Image
  What is Google BigQuery? Google BigQuery is a fully managed, serverless, and highly scalable enterprise data warehouse offered as a cloud service by Google Cloud Platform (GCP). It is designed for processing and analyzing large datasets in real time using SQL-like queries. Google BigQuery enables organizations to gain insights from their data quickly and efficiently, making it a powerful tool for data analytics and business intelligence.  - Google Cloud Data Engineer Training   Key features and characteristics of Google BigQuery include: 1.       Serverless Architecture: ·          BigQuery is a serverless data warehouse, meaning users don't need to manage infrastructure or worry about provisioning and scaling resources. Google Cloud handles all the underlying infrastructure, allowing users to focus on querying and analyzing their data.  - GCPData Engineering Training 2.       Scalability: ·           BigQuery is highly scalable and can handle large datasets, making it suitable f
Read more