Remove Measurement Remove Reference Remove Snapshot Remove Testing
article thumbnail

Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. To learn more about the available optimize data executors and catalog properties, refer to the README file in the GitHub repo. For our testing, we generated about 58,176 small objects with total size of 2 GB.

article thumbnail

Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. When barriers from all upstream partitions have arrived, the sub-task takes a snapshot of its state.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How OLX Group migrated to Amazon Redshift RA3 for simpler, faster, and more cost-effective analytics

AWS Big Data

Test environment In order to be confident with the performance of the RA3 nodes, we decided to stress test them in a controlled environment before making the decision to migrate. To do this, we required the following: A reference cluster snapshot – This ensures that we can replay any tests starting from the same state.

article thumbnail

Real-time cost savings for Amazon Managed Service for Apache Flink

AWS Big Data

The third cost component is durable application backups, or snapshots. This is entirely optional and its impact on the overall cost is small, unless you retain a very large number of snapshots. The cost of durable application backup (snapshots) is $0.023 per GB per month. per hour, and attached application storage costs $0.10

article thumbnail

Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214
article thumbnail

Your Definitive Guide To KPI Tracking By Utilizing Modern Software & Tools

datapine

Your Chance: Want to test a professional KPI tracking software for free? By measuring KPIs regularly and automatically, you can increase productivity and decrease costs. . A KPI report is a tool that facilitates the measurement, collection, arrangement, analysis, and study of essential business KPIs over certain periods.

KPI 195
article thumbnail

Getting Started With Incremental Sales – Best Practices & Examples

datapine

Incremental Sales Calculation As mentioned, incremental sales are used by businesses as a key performance indicator to measure the financial success of their promotional efforts. To ensure you yield the results you desire, first establish your goals, then decide on the metrics that you will need to track to measure your performance.

Sales 176