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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters.

Metrics 96
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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.

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

The key metrics featured at the top left of this cutting-edge CFO report template include cover gross profit, EBIT, operational expenses, and net income — a perfect storm of financial information. Top 7 CFO Dashboard KPIs & Metrics Explained. Benefit from great CFO dashboards & reports!

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How to achieve Kubernetes observability: Principles and best practices

IBM Big Data Hub

Observability comprises a range of processes and metrics that help teams gain actionable insights into a system’s internal state by examining system outputs. In this blog, we discuss how Kubernetes observability works, and how organizations can use it to optimize cloud-native IT architectures. How does observability work?

Metrics 72
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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
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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility. In the Instance configuration section , select Memory optimized classes.