Maximizing bigQuery ROI: hands-on workshop for cost-effective data management
In this session you will learn:
Overview of BigQuery's unique architecture and capabilities, and why it is a top choice for data management.
A live, guided demo on setting up a data pipeline from scratch using Hevo’s no-code platform, from extracting data from a source to loading it into BigQuery.
Learn about BQ Best Practices for partitioning and clustering tables to optimize query performance, tips for efficient data ingestion, and the use of table suffixes to manage data storage.
Engage in an interactive Q&A session to get answers to your specific questions.
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Agenda
As data-driven decision-making becomes a cornerstone of business strategy, managing large volumes of data efficiently and effectively is more critical than ever. Google BigQuery, a serverless, highly scalable, and cost-effective multi-cloud data warehouse, offers unique architecture and unparalleled integration with Google Cloud Platform (GCP) services. However, migrating and optimising data pipelines in BigQuery can present challenges.
Join this hands-on webinar to learn best practices for using Google BigQuery. This session will provide a step-by-step demonstration on setting up and optimising data migrations, leveraging big query's advanced capabilities such as partitioning, clustering, and optimisation techniques, and integrating with powerful data pipeline tools like Hevo Data.
Speakers
Matt Forrest
Speaker
Wherobots
Arav Manaktala
Speaker
Hevo Data