AWS Big Data Blog
Category: Customer Enablement
How AWS Data Lab helped BMW Financial Services design and build a multi-account modern data architecture
This post is co-written by Martin Zoellner, Thomas Ehrlich and Veronika Bogusch from BMW Group. BMW Group and AWS announced a comprehensive strategic collaboration in 2020. The goal of the collaboration is to further accelerate BMW Group’s pace of innovation by placing data and analytics at the center of its decision-making. A key element of […]
Introducing Embedded Analytics Data Lab to accelerate integration of Amazon QuickSight analytics into applications
We are excited to announce Embedded Analytics Data Lab (EADL), a no-cost collaborative engagement that helps engineering and development teams cut down time required to launch applications with embedded analytics from Amazon QuickSight in production by providing hands-on guidance and architectural best practices. Embedding rich analytics such as interactive visuals and dashboards directly into applications […]
How the Georgia Data Analytics Center built a cloud analytics solution from scratch with the AWS Data Lab
This is a guest post by Kanti Chalasani, Division Director at Georgia Data Analytics Center (GDAC). GDAC is housed within the Georgia Office of Planning and Budget to facilitate governed data sharing between various state agencies and departments. The Office of Planning and Budget (OPB) established the Georgia Data Analytics Center (GDAC) with the intent […]
How Belcorp decreased cost and improved reliability in its big data processing framework using Amazon EMR managed scaling
This is a guest post by Diego Benavides and Luis Bendezú, Senior Data Architects, Data Architecture Direction at Belcorp. Belcorp is one of the main consumer packaged goods (CPG) companies providing cosmetics products in the region for more than 50 years, allocated to around 13 countries in North, Central, and South America (AMER). Born in Peru […]
Design and build a Data Vault model in Amazon Redshift from a transactional database
This blog post was updated in June, 2022 to update the entity relationship diagram. Building a highly performant data model for an enterprise data warehouse (EDW) has historically involved significant design, development, administration, and operational effort. Furthermore, the data model must be agile and adaptable to change while handling the largest volumes of data efficiently. […]
How MEDHOST’s cardiac risk prediction successfully leveraged AWS analytic services
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. MEDHOST has been providing products and services to healthcare facilities of all types and sizes for over 35 years. Today, more than 1,000 healthcare facilities are partnering with MEDHOST and enhancing their […]
How the Allen Institute uses Amazon EMR and AWS Step Functions to process extremely wide transcriptomic datasets
This is a guest post by Gautham Acharya, Software Engineer III at the Allen Institute for Brain Science, in partnership with AWS Data Lab Solutions Architect Ranjit Rajan, and AWS Sr. Enterprise Account Executive Arif Khan. The human brain is one of the most complex structures in the universe. Billions of neurons and trillions of […]
How SimilarWeb analyze hundreds of terabytes of data every month with Amazon Athena and Upsolver
This is a guest post by Yossi Wasserman, a data collection & innovation team leader at Similar Web. SimilarWeb, in their own words: SimilarWeb is the pioneer of market intelligence and the standard for understanding the digital world. SimilarWeb provides granular insights about any website or mobile app across all industries in every region. SimilarWeb […]