AWS Big Data Blog

Tag: HAQM Quicksight

Detect fraudulent calls using HAQM QuickSight ML insights

The financial impact of fraud in any industry is massive. According to the Financial Times article Fraud Costs Telecoms Industry $17bn a Year (paid subscription required), fraud costs the telecommunications industry $17 billion in lost revenues every year. Fraudsters constantly look for new technologies and devise new techniques. This changes fraud patterns and makes detection […]

Introducing HAQM QuickSight fine-grained access control over HAQM S3 and HAQM Athena

Today, AWS is excited to announce the availability of fine-grained access control for AWS Identity and Access Management (IAM)-permissioned resources in HAQM QuickSight. Fine-grained access control allows HAQM QuickSight account administrators to control authors’ default access to connected AWS resources. Fine-grained access control enables administrators to use IAM policies to scope down access permissions, limiting specific authors’ access to specific items within the AWS resources. Administrators can now apply this new level of access control to HAQM S3, HAQM Athena, and HAQM RDS/Redshift database discovery.

HAQM QuickSight updates: Multiple sheets in dashboards, axis label orientation options, and more

Today, we are pleased to announce a set of updates to HAQM QuickSight: Richer dashboards with multiple sheets in your regular and embedded dashboards, multiple axis label orientation options for better readability of dashboards, more calculations such as standard deviation, variance and conditional string functions on SPICE, enhanced URL actions for supporting a broader set of interaction scenarios, and one-click duplication of visuals for faster authoring.

HAQM QuickSight Announces General Availability of ML Insights

At re:Invent 2018, we announced the preview of ML Insights, a set of out-of-the-box machine learning and natural language features that provide HAQM QuickSight users with business insights beyond visualization. Today, we are announcing the general availability of ML Insights. As the volume of data that customers generate continues to grow every day, it’s becoming […]

Visualize over 200 years of global climate data using HAQM Athena and HAQM QuickSight

Climate Change continues to have a profound effect on our quality of life. As a result, the investigation into sustainability is growing. Researchers in both the public and private sector are planning for the future by studying recorded climate history and using climate forecast models. To help explain these concepts, this post introduces the Global […]

Our data lake story: How Woot.com built a serverless data lake on AWS

February 9, 2024: HAQM Kinesis Data Firehose has been renamed to HAQM Data Firehose. Read the AWS What’s New post to learn more. In this post, we talk about designing a cloud-native data warehouse as a replacement for our legacy data warehouse built on a relational database. At the beginning of the design process, the […]

Analyze and visualize nested JSON data with HAQM Athena and HAQM QuickSight

April 2024: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. HAQM Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]

HAQM QuickSight announces ML Insights in preview

HAQM QuickSight is a fast, cloud-powered BI service that makes it easy for everyone in an organization to get business insights from their data through rich, interactive dashboards. With pay-per-session pricing and embedded dashboard, we made BI even more cost-effective and accessible to everyone. However, as the volume of data that customers generate continues to […]