Mei Long

Mei Long is a Product Manager at Upsolver. She is on a mission to make data accessible, usable, and manageable in the cloud. Previously, Mei played an instrumental role working with the teams that contributed to the Apache Hadoop, Spark, Zeppelin, Kafka, and Kubernetes projects.

How to Deduplicate Events in Batch and Stream Processing Using Primary Keys
Building Data Pipelines

How to Deduplicate Events in Batch and Stream Processing Using Primary Keys

December 18, 2022
Best Practices for Data Retention: Dealing with Logs, Data Warehouses, and Data Lakes
Building Data Pipelines

Best Practices for Data Retention: Dealing with Logs, Data Warehouses, and Data Lakes

November 2, 2022
Avoiding Costly Full Data Scans in Your Cloud Data Warehouse
Building Data Pipelines

Avoiding Costly Full Data Scans in Your Cloud Data Warehouse

October 19, 2022
Transform Nested JSON to Parquet with SQLake
Building Data Pipelines

Transform Nested JSON to Parquet with SQLake

August 29, 2022
Use Redshift Streaming Ingestion, Redshift Serverless and Upsolver to Make Data Available for Analysis in Seconds
Streaming Data

Use Redshift Streaming Ingestion, Redshift Serverless and Upsolver to Make Data Available for Analysis in Seconds

March 11, 2022
Transformation Tuesday
Cloud Architecture

Transformation Tuesday

July 7, 2020

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