Category: Amazon DynamoDB

Mike Deck is a Solutions Architect with AWS Amazon S3 is a simple key-based object store whose scalability and low cost make it ideal for storing large datasets. Its design enables S3 to provide excellent performance for storing and retrieving objects based on a known key. Finding objects based on other attributes, however, requires doing […]

This is a guest post by Sivaramakrishnan Narayanan, Member of Technical Staff at Qubole, and Xing Quan, Director of Product Management at Qubole. Qubole is an AWS Advanced Technology Partner. Amazon Kinesis is a scalable and fully managed service for streaming large, distributed data sets. As applications (particularly on mobile and wearable devices) start to […]

This is a guest post by Stephen Verstraete, a manager at Pariveda Solutions. Pariveda Solutions is an AWS Premier Consulting Partner. Common patterns exist for batch processing and real-time processing of Big Data. However, we haven’t seen patterns that allow us to process batches of dependent data in real-time. Expedia’s marketing group needed to analyze […]

James Saull is a Principal Solutions Architect with AWS There are many advantages to using multi-part, multi-instance uploads for large files. First, the throughput is improved because you can upload parts in parallel. Amazon Simple Storage Service (Amazon S3) can store files up to 5TB, yet a single machine with a 1Gbps interface would take […]

Nate Wiger is Principal Gaming Solutions Architect for AWS. Dave Lang, Senior Product Manager for Amazon DynamoDB, also contributed to this article. Amazon DynamoDB is rapidly becoming the go-to database for many of the fastest-growing games in the world. Games like Fruit Ninja (from Halfbrick Studios) and Battle Camp (from PennyPop) have leveraged Amazon DynamoDB’s […]