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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

The skewness metrics of the job multistage-demo showed 9.53, which is significantly higher than others. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. For now, let’s filter with the job name multistage-demo.

Metrics 101
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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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Business Intelligence Examples Show You the Real BI World

FineReport

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. The accuracy of store customer flow forecast has now reached 95%.

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Prevent Customer Churn: Customer Retention in the Transition to Microsoft D365 F&SCM

Jet Global

Jet Analytics makes it easy for virtually anyone to quickly and easily design and populate a data warehouse from Microsoft Dynamics AX, Microsoft D365 F&SCM, or any other product in the Microsoft Dynamics family. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes.

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Using Business Intelligence in Demand Forecasting

Jet Global

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

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Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. The first step before creating data visualisation using Power View and Pivot Tabes/Charts in Excel, we need to acquire the data from various data sources.