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

AWS Big Data

CREATE DATABASE aurora_pg_zetl FROM INTEGRATION ' ' DATABASE zeroetl_db; The integration is now complete, and an entire snapshot of the source will reflect as is in the destination. About the Authors Raks Khare is an Analytics Specialist Solutions Architect at AWS based out of Pennsylvania.

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

AWS Big Data

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. He enjoys helping large companies with the adoption of cloud technologies, and his area of expertise is mainly focused on Data Analytics and Data Management.

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EHR/EMR Software Development Recommendations in a Health Market Governed By Big Data

Smart Data Collective

In 2017, the global market for healthcare analytics was valued at $16.9 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. Now that you have a snapshot of the differences between EMR, EHR, and PHR, let’s talk about how to create a doctor-friendly EHR system.

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Get Started With Business Performance Dashboards – Examples & Templates

datapine

All areas of your modern-day business – from supply chain success to improved reporting processes and communications, interdepartmental collaboration, and general organization innovation – can benefit significantly from the use of analytics, structured into a live dashboard that can improve your data management efforts.

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Data Observability and Monitoring with DataOps

DataKitchen

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). Using column statistics , Iceberg offers efficient updates on tables that are sorted on a “key” column. Iceberg offers a Merge On Read strategy to enable fast writes.

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