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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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Enable metric-based and scheduled scaling for Amazon Managed Service for Apache Flink

AWS Big Data

Amazon Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more. We show you how to scale by using metrics such as CPU, memory, backpressure, or any custom metric of your choice. The following diagram illustrates the state machine workflow.

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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. We also saved 75% on our annual external software costs.

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Understanding and Addressing Data Anomalies in Business!

Smarten

When it comes to analytics, anomaly monitoring and analysis can help your business to identify outliers in results and determine whether these are important warnings of future issues, or simply occasional blips in results. Leverage the essential components of Augmented Analytics and improve decision-making and outcomes.

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

CFO dashboards exist to enhance the strategic as well as the analytical efforts related to every financial aspect of your business. In essence, a CFO dashboard is the analytical nerve center for all of your most invaluable financial data. If a CFO KPI dashboard is the analytical framework, the reports are your analytical eyes.

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

AWS Big Data

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics.

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

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. For example, an ecommerce company may add new customer demographic attributes or order status flags to enrich analytics.

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