Redshift 与 BigQuery：选择数据仓库时的 8 个注意事项

barikulislam015

作为数据驱动的组织，您对数据仓库的选择至关重要。您很可能正在考虑两种流行的选择：Google BigQuery 和Amazon Redshift。 您可能已经被锁定在云平台中。在这种情况下，这对你来说并不是一个太大的决定。BigQuery 仅适用于 Google Cloud，Redshift 仅适用于 AWS。 但是，如果您希望对数据仓库部门进行更改，那么本指南就是您的最佳选择。这个故事的要点实际上是关于数据工程有很多东西需要学习。 许多开始尝试解决数据问题的人都来自网络世界，并尝试将他们的旧技能应用到这个新领域。有些技能和方法有用，有些则没有。 我希望我的故事对您有所帮助。

BigQuery 和 Redshift 都是世界一流的数据仓库，但它们有很大不同。 我们将了解选择数据仓库的最重要标准，包括： 云平台支持 可扩展性 表现 安全/加密 生态系统/第三方集成 维护 价钱 业务用例 电子邮件营销列表  让我们深入挖掘吧！ TL;DR：比较 BigQuery 和 Redshift 大查询        红移 云平台支持        仅限谷歌云        仅限 AWS 可扩展性        几乎无限且自动        传统节点规模有限。新的 RA3 节点与 BigQuery 的可扩展性相匹配。 表现        具有竞争力，但具有更多自动化优化。        标准承载具有改进的自动优化功能 安全与加密        点菜安全和加密        点菜安全和加密 生态系统和第三方集成        快速增长的生态系统与主要第三方集成        最大的生态系统和最多的第三方集成 维护        需要有限的维护        需要手动维护并改进自动维护功能 价钱        按查询付费；提供折扣和预付费套餐。



提供折扣和预付费套餐。 BI 与机器学习        BI 昂贵；强大的机器学习工具集        BI 具有成本效益；强大的机器学习工具集 最终用户体验        小型开发团队更易于管理        为大型团队提供更多定制和灵活性 可用资源        对于有限的技术资源来说更好，但很快就会变得昂贵        为拥有技术资源的公司节省成本 云平台支持 与我们之前对Snowflake 和 Redshift的比较不同，这里的云平台选项非常简单。BigQuery 仅适用于 Google Cloud，而 Redshift 适用于 AWS。 Snowflake 是唯一与云无关的主要云仓库。 可扩展性 传统上，Amazon Redshift 通过耦合存储/计算服务器集群手动扩展。然后 Redshift 在 2019 年推出了一个新的解耦节点——RA3。

HermanDug

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