#GoogleCloud recently introduced the preview of Bigtable tiered storage.
Developers can now manage both hot & cold data within a single Bigtable instance, optimizing costs while maintaining access to all data.
Find out more: https://bit.ly/3XmkyWE
#GoogleCloud recently introduced the preview of Bigtable tiered storage.
Developers can now manage both hot & cold data within a single Bigtable instance, optimizing costs while maintaining access to all data.
Find out more: https://bit.ly/3XmkyWE
버벅이는 대용량 테이블, Windowing으로 해결!
네이버가 대용량 데이터 테이블을 빠르게 보여주기 위해 Windowing 기법을 활용한 Big Table 컴포넌트 개발 경험을 공유했어요.
https://d2.naver.com/helloworld/4706492
이 기술은 수많은 데이터를 마치 눈속임처럼 필요한 부분만 렌더링해서 성능을 획기적으로 개선합니다. 특히 무한 스크롤, 불필요한 리렌더링 방지 등의 기술이 적용되어 사용자 경험을 극대화할 수 있습니다.
How messy is #terraform with #gcp?
I'm trying to make a system where #rust worker ingests data of HTTP requests via #cloudrun, and passes them into #bigtable, which uses further ingestion recipe to export the data into #bigquery
I have tried to make a complete terraform declaration for this, but got into permission issues, then I have tried to make a system that generates all the artefacts like service accounts and docker image and then refers to those from terraform builds, but I almost don't see a value of doing it like that.
Does anyone have an example of #cloudrun #cdc? I am new to this and I feel really slow.
Excited to share my latest technical article on how we implemented our in-house segmentation engine at Sendinblue using Go Lang! With a focus on maximizing performance, we utilized MongoDB, Clickhouse, and BigTable to process large amounts of data using fine-tuned algorithms.
Take a look and let me know your thoughts in the comments!
https://engineering.sendinblue.com/segmentation-to-target-the-right-audience/
#golang #mongodb #clickhouse #bigtable #dataprocessing #algorithms #performance