Category: Advanced (300)

Building a cryptocurrency wallet requires the operation of a multitude of blockchain-specific components that enable critical functionality for the wallet. This includes but is not limited to provisioning and managing blockchain nodes, developing secure private key management solutions, building performant transaction management modules, and working with complex blockchain data pipelines. These components require complex security […]

Amazon Aurora backs up cluster volumes automatically and retains restore data for the length of the backup retention period. Aurora automated backups are continuous and incremental, so you can restore to any point within the backup retention period from 1–35 days. If you need to retain backups for more than 35 days, you can take manual snapshots […]

Building data sources on Amazon Simple Storage Service (Amazon S3) can provide substantial benefits for analysis pipelines because it allows you to access multiple large data sources, optimize the curation of new ingestion pipelines, build artificial intelligence (AI) and machine learning (ML) models, providing customised experiences for customers and consumers alike. In this post, we […]

At AWS, we have been making steady progress towards bringing our zero-ETL vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across many applications, break data silos in your […]

At Amazon Web Services (AWS), we have been making steady progress towards bringing our zero-extract, transform, and load (ETL) vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across […]

One of the key benefits of Amazon Relational Database Service (Amazon RDS) is that it creates an automated storage volume snapshot of the database instance, backing up the database host at the instance. Amazon RDS saves the automated backups of databases according to the specified backup retention period. The flexibility of creating manual snapshots helps […]

Amazon DocumentDB (with MongoDB compatibility) is a highly efficient, scalable, and fully managed enterprise document database service designed to handle native JSON workloads. Amazon DocumentDB simplifies storing, querying, and indexing JSON data as a document database. The Amazon DocumentDB profiler feature is a valuable tool for monitoring the slowest operations on your cluster to help […]

In this post, we demonstrate how to set up Amazon EMR to run complex queries on massive amounts of data stored in your Amazon DocumentDB (with MongoDB compatibility) clusters using Apache Spark. Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document […]

In this post, we show you how to successfully set up SSL connectivity with Amazon Relational Database Service (Amazon RDS) for Oracle. For the purpose of this post, we have considered scenarios of SSL connectivity with the source as a SQL Plus client over a Linux platform and also a Java application client. SSL connectivity […]

In this post, we dive deep into establishing your infrastructure and deploying Polygon blockchain nodes on AWS. We provide recommendations for selecting optimal compute and storage options tailored to various use cases. We discuss the approach to speed up the horizontal scaling of Polygon full nodes on AWS with Amazon Simple Storage Service (Amazon S3) […]