- Introduction of the speakers
- Objective of the webinar: Comparison of Snowflake and BigQuery
Description
During the webinar, the key differences and features of Snowflake and BigQuery will be highlighted:
The architecture of both platforms will be highlighted: Snowflake utilizes the data cloud and multi-cluster architecture, while BigQuery relies on a practical entirely serverless approach and columnar storage. This fundamental architectural difference also means that the processing of data within the two platforms differs. In addition to the architectural differences, differences in the integration of other tools and platforms are also highlighted. Various security aspects, features and best practices such as time traveling or the creation of test environments using clones will also be discussed in more detail. The webinar will also compare Snowflake and BigQuery in terms of their performance and critically discuss query results and the associated costs.
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Experts
Niels Warnecke
Agenda
Welcome and introduction
Architectural comparison
- Overview of the architecture of Snowflake
- Overview of the architecture of BigQuery
- Similarities and differences in the architecture
Data processing and scalability
- Snowflake’s data processing approach
- BigQuery’s data processing approach
- Scalability features of both platforms
Features, capabilities and integration into the ecosystem
- Integration with other tools and platforms
- Security functions and measures
Query performance and speed
- Snowflake query performance characteristics
- BigQuery query performance characteristics
- Query performance and speed comparison
Cost model and billing
- Snowflake pricing and billing model
- BigQuery pricing and billing model
- Factors affecting costs
Q&A
- Answering questions from the audience
- Discussion of specific requirements and concerns
- Summary of content and take-aways
Basic information
A basic knowledge of the possibilities of at least one of the two platforms is assumed, but is not absolutely necessary.
Online Webinar
The webinar is aimed at data experts, database administrators, data engineers and anyone interested in cloud data solutions.
German