AWS Big Data Blog

Category: Amazon QuickSight

Bringing the power of embedded analytics to your apps and services with Amazon QuickSight

In the world we live in today, companies need to quickly react to change—and to anticipate it. Customers tell us that their reliance on data has never been greater than what it is today. To improve your decision-making, you have two types of data transformation needs: data agility, the speed at which data turns into […]

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How Aruba Networks built a cost analysis solution using AWS Glue, Amazon Redshift, and Amazon QuickSight

This is a guest post co-written by Siddharth Thacker and Swatishree Sahu from Aruba Networks. Aruba Networks is a Silicon Valley company based in Santa Clara that was founded in 2002 by Keerti Melkote and Pankaj Manglik. Aruba is the industry leader in wired, wireless, and network security solutions. Hewlett-Packard acquired Aruba in 2015, making […]

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Automate dataset monitoring in Amazon QuickSight

Amazon QuickSight is an analytics service that you can use to create datasets, perform one-time analyses, and build visualizations and dashboards. In an enterprise deployment of QuickSight, you can have multiple dashboards, and each dashboard can have multiple visualizations based on multiple datasets. This can quickly become a management overhead to view all the datasets’ […]

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Embed multi-tenant analytics in applications with Amazon QuickSight

Amazon QuickSight recently introduced four new features—embedded authoring, namespaces for multi-tenancy, custom user permissions, and account-level customizations—that, with existing dashboard embedding and API capabilities available in the Enterprise Edition, allow you to integrate advanced dashboarding and analytics capabilities within SaaS applications. Developers and independent software vendors (ISVs) who build these applications can now offer embedded, […]

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Enable fine-grained permissions for Amazon QuickSight authors in AWS Lake Formation

This post demonstrates how to extend the Lake Formation security model to QuickSight users and groups, which allows data lake administrators to manage data catalog resource permissions centrally from one console. As organizations embark on the journey to secure their data lakes with Lake Formation, having the ability to centrally manage fine-grained permissions for QuickSight authors can extend the data governance and enforcement of security controls at the data consumption (business intelligence) layer. You can enable these fine-grained permissions for QuickSight users and groups at the database, table, or column level, and they’re reflected in the Athena dataset in QuickSight.

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Enforce column-level authorization with Amazon QuickSight and AWS Lake Formation

Amazon QuickSight is a fast, cloud-powered, business intelligence service that makes it easy to deliver insights and integrates seamlessly with your data lake built on Amazon Simple Storage Service (Amazon S3). QuickSight users in your organization often need access to only a subset of columns for compliance and security reasons. Without having a proper solution […]

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Build an automatic data profiling and reporting solution with Amazon EMR, AWS Glue, and Amazon QuickSight

This post demonstrates how to extend the metadata contained in the Data Catalog with profiling information calculated with an Apache Spark application based on the Amazon Deequ library running on an EMR cluster. You can query the Data Catalog using the AWS CLI. You can also build a reporting system with Athena and Amazon QuickSight to query and visualize the data stored in Amazon S3.

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Speed up your ELT and BI queries with Amazon Redshift materialized views

The Amazon Redshift materialized views function helps you achieve significantly faster query performance on repeated or predictable workloads such as dashboard queries from Business Intelligence (BI) tools, such as Amazon QuickSight. It also speeds up and simplifies extract, load, and transform (ELT) data processing. You can use materialized views to store frequently used precomputations and […]

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Query, visualize, and forecast TruFactor web session intelligence with AWS Data Exchange

This post showcases TruFactor Intelligence-as-a-Service data on AWS Data Exchange. TruFactor’s anonymization platform and proprietary AI ingests, filters, and transforms more than 85 billion high-quality raw signals daily from wireless carriers, OEMs, and mobile apps into a unified phygital consumer graph across physical and digital dimensions. TruFactor intelligence is application-ready for use within any AWS analytics or ML service to power your models and applications running on AWS, with no additional processing required.

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