Category: Analytics

Many organizations are moving their data from silos and aggregating it in one location. Collecting this data in a data lake enables you to perform analytics and machine learning on that data. You can store your data in purpose-built data stores, like a data warehouse, to get quick results for complex queries on structured data. […]

Hospitals and clinical trial sites manage sensitive patient data. They are often required to grant remote access to custom Windows-based applications for patient record review and medical image analysis. This typically requires providing physicians and staff with remote access to on-premises workstations over VPN, with some flavor of remote desktop software. This can be both […]

This post was co-written with Marcus Rosen, a Principal  – Machine Learning Operations with Rio Tinto, a global mining company.  Data pre-processing is an important step in setting up Machine Learning (ML) projects for success. Many AWS customers use Apache Spark on AWS Glue or Amazon EMR to run data pre-processing scripts while using Amazon SageMaker […]

With the introduction of cloud technology and by extension the rapid emergence of Internet of Things (IoT), the barrier to entry for creating smart building solutions has never been lower. These solutions offer commercial real estate customers potential cost savings and the ability to enhance their tenants’ experience. You can differentiate your business from competitors […]

For decades, enterprises used online analytical processing (OLAP) workloads to answer complex questions about their business by filtering and aggregating their data. These complex queries were compute and memory-intensive. This required teams to build and maintain complex extract, transform, and load (ETL) pipelines to model and organize data, oftentimes with commercial-grade analytics tools. In this […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. This blog post is co-authored with Charles Crouspeyre and Angad Srivastava. Charles is Director at Accenture Applied Intelligence and ASEAN AI SME (Subject Matter Expert) and Angad is Data and Analytics Consultant at AWS and NLP (Natural Language Processing) expert. […]

Serverless technologies reduce the work needed to set up and maintain computing resources, provide built-in scalability, and optimize agility, performance, cost, and security. The pay-as-you-go model is particularly liberating for developers. You can fail fast, experiment more, and do it fairly cheaply. However, serverless brings its own challenges. In this blog, we’ll examine how to […]

Pilot phases, or pilots, as we will call them from now on, should be conducted to test and find the positive and negative aspects of a particular use case, design pattern, or application migration approach. They allow you to validate the foundation of your architecture (for example, with a landing zone governed by AWS Control […]

With Architecture Center content being published nearly every day, sometimes more than two or three times a day, we know it can be hard to fit it all into your busy schedule. So, this month, we’ve rounded up our most popular and highly rated content to provide you with a quick rundown. 5. Architecture Center: […]

Successful businesses not only have great products and services; they also have a deep understanding of their customers. Companies that can use behavioral analytics in marketing automation platforms are better equipped to deliver real-time marketing efforts. According to a research case study from Deloitte, companies with a customer-centric business model are 60% more profitable. Knowing […]