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. Dashboards are great at visualizing your data, based upon how you built them, but not always great at finding hidden…
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 boost security, Amazon SQS queues to avoid rate limiting, and a mix of Amazon EC2, AWS Lambda, and Amazon DynamoDB…
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 talk, we explain how to migrate your workloads to Amazon EMR. Join us to learn the key motivations and benefits…
Para más detalles, vea el artículo del centro de conocimiento con este video: https://ift.tt/3cSiv3a Mike les muestra cómo restaurar los datos desde una instantánea de Amazon RDS. The post ¿Cómo puedo restaurar una instantánea de RDS? appeared first on Amazon Web Services Feed.
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 audience segment for messaging. Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 #AWS The post Solving with AWS…
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 Patterns for DynamoDB. In that talk Rick revealed for the first time the inner arcana of single-table design. Minds were…