AWS Big Data Blog

Secure and simplify account setup and access management with new Amazon QuickSight administrative controls

Amazon QuickSight is a fully-managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, either within the QuickSight interface, or embedded in software as a service (SaaS) applications or web portals. Unlike many BI solutions in the market […]

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Amazon QuickSight Recap re:Invent 2021

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. This year’s re:Invent was held in person in Las Vegas from November 29th through December 3rd. AWS is also hosting virtual re:invent for attendees to access on demand content. Register now for virtual re:invent or subscribe to the AWS Events […]

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Query data in Amazon OpenSearch Service using SQL from Amazon Athena

Amazon Athena is an interactive serverless query service to query data from Amazon Simple Storage Service (Amazon S3) in standard SQL. Amazon OpenSearch Service is a fully managed, open-source, distributed search and analytics suite derived from Elasticsearch, allowing you to run OpenSearch Service or Elasticsearch clusters at scale without having to manage hardware provisioning, software […]

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Create a serverless event-driven workflow to ingest and process Microsoft data with AWS Glue and Amazon EventBridge

Microsoft SharePoint is a document management system for storing files, organizing documents, and sharing and editing documents in collaboration with others. Your organization may want to ingest SharePoint data into your data lake, combine the SharePoint data with other data that’s available in the data lake, and use it for reporting and analytics purposes. AWS […]

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How Roche democratized access to data with Google Sheets and Amazon Redshift Data API

This post was co-written with Dr. Yannick Misteli, João Antunes, and Krzysztof Wisniewski from the Roche global Platform and ML engineering team as the lead authors. Roche is a Swiss multinational healthcare company that operates worldwide. Roche is the largest pharmaceutical company in the world and the leading provider of cancer treatments globally. In this […]

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Accelerate self-service analytics with Amazon Redshift Query Editor V2

Amazon Redshift is a fast, fully managed cloud data warehouse. Tens of thousands of customers use Amazon Redshift as their analytics platform. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses. Amazon Redshift provides a web-based query editor in addition to supporting connectivity […]

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Introducing Amazon S3 shuffle in AWS Glue

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. In AWS Glue, you can use Apache Spark, which is an open-source, distributed processing system for your data integration tasks and big data workloads. Apache Spark utilizes in-memory caching and […]

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Integrate AWS Glue DataBrew and Amazon PinPoint to launch marketing campaigns

Marketing teams often rely on data engineers to provide a consumer dataset that they can use to launch marketing campaigns. This can sometimes cause delays in launching campaigns and consume data engineers’ bandwidth. The campaigns are often launched using complex solutions that are either code heavy or using licensed tools. The processes of both extract, […]

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TrueBlue uses Amazon QuickSight to deliver more accurate pricing and grow business

This is a guest post by TrueBlue. In their own words, “Founded in 1989, TrueBlue provides specialized workforce solutions, including staffing, talent management, and recruitment process outsourcing (RPO). In 2020, the company connected approximately 490,000 people with work.” At TrueBlue, we offer solutions that help employers connect with workers worldwide. Every day, sales teams at […]

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Query hierarchical data models within Amazon Redshift

In a hierarchical database model, information is stored in a tree-like structure or parent-child structure, where each record can have a single parent but many children. Hierarchical databases are useful when you need to represent data in a tree-like hierarchy. The perfect example of a hierarchical data model is the navigation file and folders or […]

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