Cloud Data Warehouse Benchmark Redshift vs Snowflake vs BigQuery | Fivetran
WANT TO EXPERIENCE A TALK LIKE THIS LIVE?
Barcelona: https://www.datacouncil.ai/barcelona
New York City: https://www.datacouncil.ai/new-york-city
San Francisco: https://www.datacouncil.ai/san-francisco
Singapore: https://www.datacouncil.ai/singapore
Download Slides: https://www.datacouncil.ai/talks/cloud-data-warehouse-benchmark-redshift-vs-snowflake-vs-bigquery?utm_source=youtube&utm_medium=social&utm_campaign=%20-%20DEC-SF-18%20Slides%20Download
ABOUT THE TALK:
Benchmarks are all about making choices: what kind of data will I use? How much? What kind of queries will users run? How you make these choices matters a lot: change your assumptions and the fastest warehouse can become the slowest.
As a data pipeline provider that supports all three warehouses as destinations, Fivetran conducted an independent benchmark that is representative of real-world users. In this talk, we'll dive into our methodology, the results and compare it to other similar benchmarks.
ABOUT THE SPEAKER:
George Fraser is Co-founder and CEO of Fivetran, a fully-managed data pipeline built for analysts. Fivetran is a Y Combinator-backed with over 300 customers relying on it to centralize their data. When Fivetran began in 2012, they realized that ETL tools were ill-equipped for modern companies who rely on cloud applications and databases.
To meet the needs of analysts in this new era, Fivetran built the only zero-maintenance data pipeline on the market and is now part of a growing ecosystem of cloud infrastructure that gives organizations control of their data without heavy engineering.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Видео Cloud Data Warehouse Benchmark Redshift vs Snowflake vs BigQuery | Fivetran канала Data Council
Barcelona: https://www.datacouncil.ai/barcelona
New York City: https://www.datacouncil.ai/new-york-city
San Francisco: https://www.datacouncil.ai/san-francisco
Singapore: https://www.datacouncil.ai/singapore
Download Slides: https://www.datacouncil.ai/talks/cloud-data-warehouse-benchmark-redshift-vs-snowflake-vs-bigquery?utm_source=youtube&utm_medium=social&utm_campaign=%20-%20DEC-SF-18%20Slides%20Download
ABOUT THE TALK:
Benchmarks are all about making choices: what kind of data will I use? How much? What kind of queries will users run? How you make these choices matters a lot: change your assumptions and the fastest warehouse can become the slowest.
As a data pipeline provider that supports all three warehouses as destinations, Fivetran conducted an independent benchmark that is representative of real-world users. In this talk, we'll dive into our methodology, the results and compare it to other similar benchmarks.
ABOUT THE SPEAKER:
George Fraser is Co-founder and CEO of Fivetran, a fully-managed data pipeline built for analysts. Fivetran is a Y Combinator-backed with over 300 customers relying on it to centralize their data. When Fivetran began in 2012, they realized that ETL tools were ill-equipped for modern companies who rely on cloud applications and databases.
To meet the needs of analysts in this new era, Fivetran built the only zero-maintenance data pipeline on the market and is now part of a growing ecosystem of cloud infrastructure that gives organizations control of their data without heavy engineering.
FOLLOW DATA COUNCIL:
Twitter: https://twitter.com/DataCouncilAI
LinkedIn: https://www.linkedin.com/company/datacouncil-ai
Facebook: https://www.facebook.com/datacouncilai
Видео Cloud Data Warehouse Benchmark Redshift vs Snowflake vs BigQuery | Fivetran канала Data Council
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Cloud Analytics World Tour: Keynote with Snowflake CEO, Bob MugliaAWS Sydney Summit: Snowflake: Your Data. No Limits.Building the World's Largest Enterprise Data Warehouse with BigQuery (Cloud Next '18)Snowflake Architecture - Learn How Snowflake Stores Table dataGoogle Cloud BigQuery vs AWS Redshift (and AWS Athena)Webinar: Snowflake Best PracticesGet Rid of Traditional ETL, Move to Spark! (Bas Geerdink)Frank Slootman, Snowflake | CUBE Conversation, April 2020Data Warehouse or Data Lake? How You Can Have Both in a Single PlatformReplacing Hadoop with SnowflakeNielsen: Processing 55TB of Data Per Day with AWS LambdaEP.1 The Past, Present, and Future of the Data Cloud w/ Frank Slootman, Chairman & CEO of SnowflakeSNOWFLAKE IPO. Everything You Need to Know (Will I Buy?)AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift (ANT418)Data Warehousing With BigQuery: Best Practices (Cloud Next '19)How to integrate ETL tools with SnowflakeSnowflake CEO Frank Slootman on the company's $479M in new fundingFunctional Data Engineering - A Set of Best Practices | LyftUsing Apache Arrow, Calcite and Parquet to build a Relational Cache | Dremio