AWS Big Data Blog

Category: Analytics

How the BMW Group analyses semiconductor demand with AWS Glue

This is a guest post co-written by Maik Leuthold and Nick Harmening from BMW Group. The BMW Group is headquartered in Munich, Germany, where the company oversees 149,000 employees and manufactures cars and motorcycles in over 30 production sites across 15 countries. This multinational production strategy follows an even more international and extensive supplier network. Like many automobile companies across the world, the […]

How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline

This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned owners, last updated date, used by whom, how frequently, and more. It helps engineers, […]

How Dafiti made Amazon QuickSight its primary data visualization tool

This is a guest post by Valdiney Gomes, Hélio Leal, and Flávia Lima from Dafiti. Data and its various uses is increasingly evident in companies, and each professional has their preferences about which technologies to use to visualize data, which isn’t necessarily in line with the technological needs and infrastructure of a company. At Dafiti, […]

Cross-account integration between SaaS platforms using Amazon AppFlow

Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements is complex. Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it […]

AWS recognized as a Challenger in the 2023 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

AWS has been named a Challenger in the 2023 Gartner Magic Quadrant for Analytics and Business Intelligence (ABI) Platforms. Previously, AWS was positioned as a Niche player in the Magic Quadrant for ABI platforms. The Gartner Magic Quadrant evaluates 20 ABI companies based on their Ability to Execute and Completeness of Vision. In our view, […]

Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data […]

Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Apache Spark enables you to build applications in a variety […]

Exploring new ETL and ELT capabilities for Amazon Redshift from the AWS Glue Studio visual editor

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. In particular, we have observed an increasing number of customers who combine and integrate their data into an Amazon Redshift data warehouse to analyze huge data at scale and […]

Get maximum value out of your cloud data warehouse with Amazon Redshift

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. Data creation, consumption, and storage are predicted to grow to 175 zettabytes by 2025, forecasted by the 2022 IDC Global DataSphere report. As data […]

Automate discovery of data relationships using ML and Amazon Neptune graph technology

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to […]