Remove Metrics Remove Reference Remove Snapshot Remove Testing
article thumbnail

In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported

AWS Big Data

In addition, logs, metrics, application tags, application configurations, VPCs, and other settings are retained between version upgrades. Refer to Upgrading Applications and Flink Versions for more information about how to avoid any unexpected inconsistencies. You don’t need to create a new application in order to upgrade in-place.

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

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Iceberg creates snapshots for the table contents. Each snapshot is a complete set of data files in the table at a point in time. Data files in snapshots are stored in one or more manifest files that contain a row for each data file in the table, its partition data, and its metrics.

Snapshot 114
article thumbnail

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

datapine

Here, we will consider what it takes to track KPI metrics, explore the dynamics or a contemporary KPI tracker, and look at how to track KPIs. Your Chance: Want to test a professional KPI tracking software for free? Benchmarking: One of the most powerful functions of committing to track KPI metrics is gaining the ability to benchmark.

KPI 195
article thumbnail

Getting Started With Incremental Sales – Best Practices & Examples

datapine

Here we explore the meaning and value of incremental sales in the world of business, as well as the additional KPI examples and metrics you should track to ensure ongoing success. 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
article thumbnail

Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). For instructions, refer to Amazon DataZone quickstart with AWS Glue data.

article thumbnail

Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario.