When it comes to understanding relationships between highly interconnected data, graph databases outshine traditional alternatives. In this tech talk, we’ll cover how to model data using RDF, and showcase how simple graph database queries can…
Customers are migrating their analytics, data processing, and data science workloads running on Apache Hadoop and Spark from on-premises data centers to AWS. This helps reduce costs, increase availability, and improve performance. In this tech…
Roaan from Atlassian explains how the company enables customers to securely deploy and invoke code at scale with the Atlassian Forge platform on AWS. Learn how Atlassian uses Javascript isolates and AWS account boundaries to…
As technology is advancing, your business is collecting more and more data from different sources. After collecting so many data points, it is often challenging to find the right insights to help your business grow.…
You know nothing about DynamoDB. At least that’s what I realized the first time I heard Rick Houlihan give his now infamous talk at AWS re:Invent 2018 on Amazon DynamoDB Deep Dive: Advanced Design…
Solution Link: https://ift.tt/35c9lfb Predictive Segmentation Using Amazon Pinpoint and Amazon SageMaker combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored…