Our SIGMOD '24 paper explores MemoryDB's architecture, which delivers in-memory performance and strong consistency at scale. A key innovation is the decoupling of durability and replication from the in-memory database engine, which allows scaling compute and storage independently based on customer workload needs. Customer data integrity, security, and availability are paramount for MemoryDB. The paper dives deep into innovations that the team built to make that possible (a personal favorite is off-box snapshotting which allows us to create consistent database snapshots on separate clusters to avoid impacting live customer traffic and preventing resource contention). We also share hardened operational experiences from running a distributed database at cloud scale. #aws #memorydb #inmemory #databases #durability #sigmod
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Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging. With a modern data architecture on AWS, you can rapidly build scalable data lakes; use a broad and deep collection of purpose-built data services; ensure compliance via unified data access, security, and governance; scale your systems at a low cost without compromising performance; and share data across organizational boundaries with ease, allowing you to make decisions with speed and agility at scale. #aws #awscloud #s3 #datastorage #scalability #bigdata #sqs #opensearch #dataarchitecture
Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion | Amazon Web Services
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We recently came up with a blog showing how you can migrate your data from OpenSearch Service to OpenSearch Serverless, which helps you run OpenSearch at scale without worrying about the infrastructure. Check out this blog and let us know if you have any feedbacks. https://lnkd.in/gkyXUQig #aws #osis #opensearch #serverless #data #analytics #migration
Use Amazon OpenSearch Ingestion to migrate to Amazon OpenSearch Serverless | Amazon Web Services
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🚀 **Unlock Near Real-Time Analytics with Amazon DynamoDB and ZeroETL for Amazon OpenSearch Service!** 📊🔍 Exciting news! Our latest blog post, authored by Sr. Specialist Solution Architects Praveen Kadipikonda and Lee Hannigan, delves into achieving near real-time analytics through Amazon DynamoDB and Amazon OpenSearch Service using ZeroETL, especially post the Rockset acquisition. With the recent acquisition of Rockset, customers are looking for an alternate solution. This integration eliminates complex ETL processes, ensuring seamless data integration and immediate insights. 💡 **Key Highlights:** - Real-time analytics from your DynamoDB data. - Step-by-step guide for setting up and optimizing this integration. - Enhanced data strategy and performance without traditional ETL overhead. - Easy transition from Rockset to a cost-effective solution. Looking to streamline your analytics workflow, reduce costs, and maximize your data's potential? This blog is a must-read. 👉 Dive into the details here: [Achieve Near Real-Time Analytics with Amazon DynamoDB and ZeroETL for Amazon OpenSearch Service](https://lnkd.in/gAxvkQqU) Transform your data architecture and enhance your analytics capabilities today! #AWS #DynamoDB #OpenSearch #ZeroETL #DataAnalytics #TechInnovation #RealTimeData #Rockset
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I am excited that last week we made OpenSearch zero-ETL integration with Amazon S3 generally available. This powerful new capability allows you to seamlessly integrate the (often very large) volumes of data stored in S3 with your primary operations and security data stored in OpenSearch. This integration gives you the best of all worlds with the ability to query the data in place without any copying, integrate with OpenSearch by indexing summary views, or enable low-latency search and analytics by partially indexing data from individual fields of data stored in S3. I am really looking forward to seeing how customers use zero-ETL integration with S3 to blend their colder lower-signal to noise data with their primary operational and security telemetry data to provide a simple experience for their users from a single toolset with out of the box support for advanced features like anomaly detection, alerting and data visualization. Amazon Web Services (AWS) OpenSearch Project #opensearch Joshua Bright Anirudha Jadhav Learn more here:
Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3 | Amazon Web Services
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Check out this new SIGMOD '24 scientific paper. Our customers love Amazon MemoryDB for its low latency performance, rich flexible API, large scale (up to 500 nodes per cluster), security, availability (4 9s SLA), and AWS's operational excellence. We designed MemoryDB for 11 9s of durability while still providing in-memory performance. My team created a nice technical scientific paper on MemoryDB's architecture. If you would like to learn about what's under the hood, check out this SIGMOD '24 paper. Yacine Taleb, Xingbo Wang, Nan Yan, Allen Samuels, Kevin McGehee, Stefan Mueller, and Jean G. - excellent work publishing this paper! https://lnkd.in/gFXPvci8 #aws #memorydb #inmemory #databases #durability #science #sigmod
Amazon MemoryDB: A fast and durable memory-first cloud database
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The survey reveals a strong demand among users for advanced cloud-native features, superior tools for managing AI workloads, and a commitment to continuous innovation in both performance and scalability. Emphasizing these areas will not only meet user needs but also drive future success. By Patrick McFadin, thanks to DataStax | #Databases #OpenSource
Apache Cassandra Poll: AI Use Cases Are Set to Triple
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more zero-ETL integration options with AWS Databases..
🚀 Exciting News! 🚀 We’re thrilled to announce the **zero-ETL integration** between Amazon DocumentDB and Amazon OpenSearch Service is now live! 🎉 This game-changing feature lets you seamlessly synchronize data, enabling advanced search capabilities like fuzzy search, cross-collection search, and multilingual search without writing any custom ETL code. Perfect for boosting performance and gaining deeper insights from your data. Specialist Solution Architects: Kaarthiik Thota, Muthu Pitchaimani, and Praveen Kadipikonda published a comprehensive blog with a step-by-step walkthrough on how to use this new feature. Check it out here: https://lnkd.in/g9tiRbMv #AWS #BigData #Innovation #CloudComputing #TechNews #DocumentDB #OpenSearch
Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available | Amazon Web Services
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Exciting news for real-time data analytics enthusiasts! 📊🚀 Learn how to send real-time data to Amazon OpenSearch Service using Amazon Kinesis Data Streams and OpenSearch Ingestion. This serverless approach offers a scalable, resilient, and cost-effective way to aggregate and analyze log data in real-time. Key benefits: • Decouples producer and consumer applications • Provides a resilient buffer for log data • Supports multiple consumers processing data in real-time • Meets Well-Architected best practices for resilience and cost Whether you're dealing with application logs, infrastructure metrics, or compliance requirements, this solution can help streamline your log aggregation and analysis workflows. Check out the full blog post to learn how to set up this powerful data pipeline and take your real-time analytics to the next level! https://lnkd.in/gYiW_s9i #AWS #BigData #RealTimeAnalytics #CloudComputing #DataEngineering
Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion | Amazon Web Services
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When AWS launched their #identityresolution product recently, many people reached out to me asking if I was worried about being killed by a big player. To me, their offering is proof that there is a growing and critical need for entity and identity resolution natively on the warehouse and lake. We are doing it right, I said, and carried on! 👷♀️ As data teams build data assets and accumulate data centrally, the need for unified and trusted views of core business entities becomes essential. We surely dont want to miss part of the customer journey, lose opportunities to cross sell by not building a single source of truth and so on and so forth. With the growing automation with LLMs and chatbots, and an increased focus on knowledge graphs, this need will only grow. 📈 Today, I read an AWS blog talking about running Zingg with AWS Glue 😎 Feeling pumped that our users now have a handy reference to use Zingg within AWS. I am also super glad about the market moving in our direction and pumped about the validation of our core thesis by the ecosystem. https://lnkd.in/gBjJ2X_p
Entity resolution and fuzzy matches in AWS Glue using the Zingg open source library | Amazon Web Services
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Unlock Integrated Analytics with CloudWatch and OpenSearch️. 📊 Tired of switching between monitoring tools and logging services? Now you can analyze logs directly within CloudWatch using OpenSearch! 👏 The new CloudWatch OpenSearch Dashboards provide pre-built visualizations for your log data. No need to transport logs to OpenSearch first.🌟 Dashboards are customizable with 200+ CloudWatch metrics and any OpenSearch query. Correlate logs, traces, metrics for deeper insights.💡 Flexible pricing options fit any budget. Pay only for what you use! Affordable analytics to optimize performance and costs. 💸 Stop hopping between tools! Get integrated analytics from CloudWatch and OpenSearch today. Read more: https://lnkd.in/ec37A6nU #aws #amazon #dataanalytics #datascience #amazoncloudwatch #managementandgovernance #amazonopensearch #opensearch #elk #nosql
New Amazon CloudWatch and Amazon OpenSearch Service launch an integrated analytics experience | Amazon Web Services
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