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 Read more…
Customers operating in hybrid environments today face tremendous challenges with regard to operational management, security/compliance, and monitoring. Systems administrators have to connect, monitor, patch, and automate across multiple Operating Systems (OS), applications, cloud, and on-premises infrastructure. Each of these scenarios has its own unique vendor and console purpose-built for a Read more…
Many enterprise applications run Microsoft SQL Server as their backend relational database. There are various options for customers to benefit from deploying their SQL Server on AWS. This blog will help you choose the right architecture for your SQL Server Deployment with high availability options, using Amazon EC2 for mission-critical Read more…
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 Read more…
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 Read more…
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 Read more…
This post was co-written with Danton Rodriguez, Product Manager at Datadog. At re:Invent 2020, AWS announced the new Amazon Elastic Compute Cloud (Amazon EC2) M5zn, D3, and R5b instance types. These instances are built on top of the AWS Nitro System, a collection of AWS-designed hardware and software innovations that enable Read more…
In our 5G issue, we discuss the evolution, implementation and trends for 5G. We’ve included some case studies from Verizon and Ericsson, and take a look at Ribbon SBC SWe and network-slicing with Cloudify. There are detailed Reference Architectures for you to check out, and videos on DISH, Verizon, AWS Read more…
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 Read more…
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. Together, they are the lead architects of the solution presented Read more…