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Working with BigQuery - part 1

Google Cloud BigQuery

by Uplatz

Course overview

Uplatz offers comprehensive training on Google Cloud BigQuery. This is an online video-based training course. You will be awarded Course Completion Certificate at the end of the course.

Google Cloud BigQuery is a fully managed, serverless data warehouse on Google Cloud Platform (GCP). It enables scalable analysis of massive datasets using SQL-like queries, eliminating the need for infrastructure management.

How it works

  1. Data Ingestion: BigQuery can ingest data from various sources, such as Google Cloud Storage, Google Cloud Dataflow, or directly from applications.
  2. Storage: BigQuery stores data in a columnar format optimized for analytical queries. It utilizes Google's Colossus distributed file system for high availability and durability.
  3. Processing: BigQuery uses the Dremel query engine, known for its speed and scalability. It leverages Google's Jupiter network for fast data transfer between storage and compute nodes.
  4. Querying: Users can interact with BigQuery using standard SQL, familiar to most data analysts. The service also supports user-defined functions (UDFs) in JavaScript or SQL for custom logic.
  5. Results: BigQuery returns query results quickly, even for massive datasets. Users can then visualize the data in various tools or export it for further analysis.

Key benefits

  • Scalability: BigQuery can handle petabyte-scale datasets without any performance degradation.
  • Serverless: Users don't need to manage infrastructure, such as servers or clusters.
  • Cost-effective: BigQuery's pay-as-you-go pricing model charges only for the storage and compute resources used.
  • Ease of use: BigQuery supports standard SQL, making it easy for analysts to get started.
  • Integration: BigQuery integrates with other GCP services, such as Google Cloud Storage and Google Cloud Dataflow, for a seamless data analytics workflow.

Google Cloud BigQuery provides a powerful and convenient solution for analyzing large datasets in the cloud, enabling businesses to gain valuable insights from their data.

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