AWS Database Blog
Category: Foundational (100)
Understanding time-series data and why it matters
In this post, we discuss the nature of time-series data, its presence across different types of industries and various use cases it enables.Time-series data is one of the most valuable types of data used today by organizations across industries. Time-series data allows for a more in-depth understanding of changes, patterns, and trends over time. This enables organizations to gain insights into past behaviors and current states, as well as predict future values. The sequential tracking of data at precise time intervals enables both retrospective and prospective analysis that is extremely valuable for strategy, planning, and decision-making across industries. In this post, we discuss the nature of time-series data, its presence across different types of industries and various use cases it enables.
New – Size flexibility for Amazon ElastiCache reserved nodes
Amazon ElastiCache, a fully managed, Redis OSS- and Memcached-compatible caching service, now supports size flexibility for all its reserved node offerings, enabling your reserved node discount to apply across differently sized node types beyond the size specified in your reservation. With flexible reserved nodes, you no longer need to commit to a specific node size when purchasing a reservation, reducing the overhead of capacity planning and enabling you to right-size your clusters as your workloads and capacity needs change. In this post, we explain how you can use this new size flexibility feature to leverage discounted pricing on your ElastiCache clusters.
Analyze blockchain data with natural language using Amazon Bedrock
Data within public blockchain networks such as Bitcoin and Ethereum can be accessed by anyone. However, accessing and making sense of this information has traditionally been a complex and technical undertaking. Much of the data is encoded and stored as bytes, rather than in a human-readable format. In this post, we introduce a solution that demonstrates how you can chat with blockchain data using Amazon Bedrock and the AWS Public Blockchain datasets. We discuss Amazon Bedrock, review the solution architecture, provide example prompts, share interesting findings, and go over how you can extend the solution to integrate with different data sources.
New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance
Starting with the Amazon Neptune engine version 1.3.2.X, openCypher query performance is up to 9 times faster and provides up to 10 times higher throughput than previous engine releases. You can create a new cluster or upgrade to this release for faster query performance, more open source features, and additional benefits.
Key considerations for successful database management during a merger and acquisition
Databases form a key part of any enterprise and managing databases during an M&A requires careful planning and implementation to ensure a smooth transition and to maintain data integrity. In this post, we highlight some of the key considerations for successful database management during a merger or acquisition spanning from data assessment to integration strategies.
Executive Conversations: Putting generative AI to work in omnichannel customer service with Prashant Singh, Chief Operating Officer at LeadSquared
Prashant Singh, Chief Operating Officer at LeadSquared, joins Pravin Mittal, Director of Engineering of Amazon Aurora, for a discussion on using generative artificial intelligence (AI) to scale their omnichannel customer service application while controlling costs. LeadSquared helps customers build truly connected, empowered, and self-reliant sales and service organizations, with the power of automation. This Executive […]
GQL: The ISO standard for graphs has arrived
A joint letter to graph customers, the graph curious, and the Cypher community: Last week, the database world reached a significant milestone. The International Organization for Standardization (ISO) published GQL, a new database language standard designed for property graphs. GQL, which stands for Graph Query Language, is the first new ISO database language since the […]
Configure an AWS DMS endpoint to access cross-account secrets from AWS Secrets Manager
AWS Database Migration Service (AWS DMS) provides integration with AWS Secrets Manager for storing the database credentials. This integration allows you to store, rotate, and retrieve credentials used in the AWS DMS endpoints. As a security best practice, customers use this integration for enhanced security control and also at times maintain a central account or […]
How Blocksee built a Web3 CRM with blockchain data from Amazon Managed Blockchain Query
Blocksee provides web3 customer relationship management (CRM) and user engagement solutions that deliver actionable insights for non-fungible token (NFT) and crypto marketers. Blocksee allows web3 product marketers to easily embed code snippets on their websites or access APIs to capture first-party data from users interested in digital memberships, event ticketing, and promotional assets. Powered by AWS […]
AWS positioned highest in execution in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems
AWS has been named a Leader for the ninth consecutive year in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems, and we have been positioned highest for ability to execute. We are honored to be recognized for delivering value for customers in a year where the possibilities of generative AI have captured all […]