AWS Big Data Blog

Visualize MongoDB data from Amazon QuickSight using Amazon Athena Federated Query

In this post, you will learn how to use Amazon Athena Federated Query to connect a MongoDB database to Amazon QuickSight in order to build dashboards and visualizations. Amazon Athena is a serverless interactive query service, based on Presto, that provides full ANSI SQL support to query a variety of standard data formats, including CSV, […]

Read More

Synchronize your AWS Glue Studio Visual Jobs to different environments 

AWS Glue has become a popular option for integrating data from disparate data sources due to its ability to integrate large volumes of data using distributed data processing frameworks. Many customers use AWS Glue to build data lakes and data warehouses. Data engineers who prefer to develop data processing pipelines visually using AWS Glue Studio […]

Read More

Enable Amazon QuickSight federation with Google Workspace

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 Google Workspace […]

Read More

Tips and tricks for high-performant dashboards in Amazon QuickSight

Amazon QuickSight is cloud-native business intelligence (BI) service. QuickSight automatically optimizes queries and execution to help dashboards load quickly, but you can make your dashboard loads even faster and make sure you’re getting the best possible performance by following the tips and tricks outlined in this post. Data flow and execution of QuickSight dashboard loads […]

Read More

Analyze Amazon Ion datasets using Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Amazon Ion is a richly typed, self-describing, hierarchical data serialization format […]

Read More

Use Amazon Redshift RA3 with managed storage in your modern data architecture

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Over the years, Amazon Redshift has evolved a […]

Read More

Ingest Stripe data in a fast and reliable way using Stripe Data Pipeline for Amazon Redshift

Enterprises typically host a myriad of business applications for varying data needs. As companies grow, so does the demand for insights from a complete set of business data. Having data from various applications that store data in disparate silos can delay the decision-making process. However, building and maintaining an API integration or a third-party extract, […]

Read More

Coming June 2022: An updated Amazon QuickSight dashboard experience

Starting June 30, 2022, Amazon QuickSight is introducing the new look and feel for your dashboards. In this post, we walk through the changes to expect with the new look. The new dashboard experience includes the following improvements: Simplified toolbar Discoverable visual menu Polished controls, menu, and submenus Non-blocking right pane for secondary experiences like […]

Read More

Use a linear learner algorithm in Amazon Redshift ML to solve regression and classification problems

Amazon Redshift is the fastest, most widely used, fully managed, and petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift ML, powered by Amazon SageMaker, makes it easy for SQL users such as data analysts, data scientists, and […]

Read More

Deep dive into Amazon EMR Kerberos authentication integrated with Microsoft Active Directory

Many of our customers that use Amazon EMR as their big data platform need to integrate with their existing Microsoft Active Directory (AD) for user authentication. This integration requires the Kerberos daemon of Amazon EMR to establish a trusted connection with an AD domain, which involves a lot of moving pieces and can be difficult […]

Read More