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Unlock scalable analytics with AWS Glue and Google BigQuery

AWS Big Data

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

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Build data integration jobs with AI companion on AWS Glue Studio notebook powered by Amazon CodeWhisperer

AWS Big Data

AWS Glue provides different authoring experiences for you to build data integration jobs. Data scientists tend to run queries interactively and retrieve results immediately to author data integration jobs. This interactive experience can accelerate building data integration pipelines.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving. Note: In the example, we copy data only for the year 2023. Choose Next to create your stack.

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Growth and Achievement for insightsoftware’s Embedded Analytics

Jet Global

2022 was a big year for embedded analytics at insightsoftware, bringing significant enhancements to our best-of-breed solutions. This was bolstered by insightsoftware’s acquisition of Dundas Data Visualization, Inc., adding deeper functionality that has strengthened Logi’s self-service data analytics and visualizations.

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Unlock innovation in data and AI at AWS re:Invent 2023

AWS Big Data

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. Keynotes Several keynotes will shine a spotlight on data. million data points per second.

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The Case for Embedded Analytics: How to Invest and Implement

Jet Global

Software companies that do it well by embedding powerful analytics capabilities within their products stand to gain market share, increasing customer loyalty and earning positive reviews from business users. Protect Your Application with These 7 Hallmarks of a Secure Analytics Solution. What Story Is Your Data Telling?

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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

You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient. The skewness metrics of the job multistage-demo showed 9.53, which is significantly higher than others.

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