AWS Big Data Blog

New row and column interactivity options for tables and pivot tables in Amazon QuickSight – Part 2

Amazon QuickSight is a fully-managed, cloud-native business intelligence (BI) service that makes it easy to create and deliver insights to everyone in your organization or even with your customers and partners. You can make your data come to life with rich interactive charts and create beautiful dashboards to share with thousands of users, either directly […]

Store Amazon EMR in-transit data encryption certificates using AWS Secrets Manager

With Amazon EMR, you can use a security configuration to specify settings for encrypting data in transit. When in-transit encryption is configured, you can enable application-specific encryption features, for example: Hadoop HDFS NameNode or DataNode user interfaces use HTTPS Hadoop MapReduce encrypted shuffle uses Transport Layer Security (TLS) Presto nodes internal communication uses SSL/TLS (Amazon […]

Easy analytics and cost-optimization with Amazon Redshift Serverless

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to setup and manage data warehouse clusters. With Redshift Serverless, users such as data analysts, developers, business professionals, and data scientists can get insights from data by simply loading and querying data in the data warehouse. With Redshift Serverless, […]

Convert Oracle XML BLOB data using Amazon EMR and load to Amazon Redshift

In legacy relational database management systems, data is stored in several complex data types, such XML, JSON, BLOB, or CLOB. This data might contain valuable information that is often difficult to transform into insights, so you might be looking for ways to load and use this data in a modern cloud data warehouse such as […]

Enable federation to Amazon QuickSight accounts with Ping One

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML)-powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Organizations are working towards centralizing their identity and access strategy across all of their applications, including on-premises, third-party, and applications on AWS. Many organizations use Ping One […]

Example of an embedded dashboard

Top Amazon QuickSight features launched in Q2 2022

Amazon QuickSight is a serverless, cloud-based business intelligence (BI) service that brings data insights to your teams and end-users through machine learning (ML)-powered dashboards and data visualizations, which can be accessed via QuickSight or embedded in apps and portals that your users access. This post shares the top QuickSight features and updates launched in Q2 […]

Set up and monitor AWS Glue crawlers using the enhanced AWS Glue UI and crawler history

A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. AWS Glue and AWS Lake Formation make it easy to build, secure, and manage data […]

Temperature visualization - colorful

Visualize Amazon S3 data using Amazon Athena and Amazon Managed Grafana

Grafana is a popular open-source analytics platform that you can employ to create, explore, and share your data through flexible dashboards. Its use cases include application and IoT device monitoring, and visualization of operational and business data, among others. You can create your dashboard with your own datasets or publicly available datasets related to your […]

New Powered by QuickSight program helps AWS partners embed interactive analytics in applications to enable data-driven experiences

Applications today generate enormous amounts of data. This provides an incredible opportunity for independent software vendors (ISVs) to deliver business intelligence (BI) offerings as a part of their application, providing visuals, dashboards, and self-service capabilities to customers. These insights are crucial for data-driven decision-making for end-users of these apps, especially if surfaced in the moments […]

How Fresenius Medical Care aims to save dialysis patient lives using real-time predictive analytics on AWS

This post is co-written by Kanti Singh, Director of Data & Analytics at Fresenius Medical Care. Fresenius Medical Care is the world’s leading provider of kidney care products and services, and operates more than 2,600 dialysis centers in the US alone. The company provides comprehensive solutions for people living with chronic kidney disease and related […]