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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Exciting news for 2024! 🚀 Amazon OpenSearch Serverless now supports automated time-based data deletion. 🕒 Define your data retention period, and let OpenSearch Serverless effortlessly manage the data lifecycle based on your preferences. Check out our latest blog post, co-authored by Satish Nandi and myself, to discover how to leverage the same: https://lnkd.in/gfw8KShi Stay updated on #AWS #Data #Analytics #OpenSearch #Serverless for more exciting developments. We're eager to hear your feedback! 🌐💼
Amazon OpenSearch Serverless now supports automated time-based data deletion | Amazon Web Services
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Solutions Architect | Technology Consultant | Bridging Technology & Business Goals | Driving Digital Transformation | Opinions are my own
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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Are you looking to take your business to the next level? Step into the world of innovation and enterprise transformation including BigQuery for processing massive data sets and many more. Read the blog and stay ahead in the digital landscape! #GoogleCloud #BigQuery #CloudAudit #MiracleBlog
How Can GCP Help Perform Audits on BigQuery Projects and Google Cloud Storage? - Blog | Miracle
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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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🌐 Revolutionizing Data Management with ChaosSearch and AWS S3 Express One Zone 🚀 🔗 Excited to share insights from our latest feature on the AWS Storage Blog: "Amazon S3 Express One Zone delivers cost and performance gains for ChaosSearch customers." 🌟 Why It's a Game Changer: ChaosSearch's integration with Amazon S3 Express One Zone is not just about faster data processing—it's about transforming how we handle complex data sets and analytics at scale. 💡 From Our Esteemed Client, @Cisco Systems: Lee Jones, Architect & Distinguished Engineer, shares his experience: “ChaosSearch is a distinctive component of our data lake architecture. With Chaos LakeDB, we’ve greatly simplified data ingestion, schema creation and management of some of our most challenging data sets and dynamic use cases. Our inherently challenging data is instantly accessible for queries, offering unique flexibility and robustness – all at Cisco’s scale and with significant cost savings… ChaosSearch has always been fast, but with the S3 Express One Zone storage class processing hundreds of thousands of transactions per second we can supercharge our analytics workloads to the tune of 60% better performance or 60% lower costs for our current performance. This combination of S3 Express One Zone and ChaosSearch enables us to rethink our data lake architecture and overall data strategy.” 🚀 The Impact: The integration of S3 Express One Zone with ChaosSearch is creating a seismic shift in data analytics. Businesses like Cisco are witnessing a remarkable transformation in their data handling capabilities, achieving unprecedented levels of efficiency and cost-effectiveness. 📈 Your Opportunity: Imagine what this could mean for your organization—enhanced data management, streamlined processes, and significant cost reductions. 🔍 Dive deeper into this technological breakthrough and discover how it can revolutionize your approach to data: https://lnkd.in/dBefaeVD Join us in embracing this innovative journey with ChaosSearch and Amazon S3 Express One Zone. #AWS #S3 #reInvent #reInvent2023 #dataanalytics #Booth1034
Amazon S3 Express One Zone delivers cost and performance gains for ChaosSearch customers | 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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Now THIS is the best explanation for what I do at work.
🔥 Announcing Chaos LakeDB - Redefining Data Lake architecture in a Cloud Data world Years of powering our log and event analytic SaaS led us to this monumental release. Now, platform providers can embed the foundation that's been behind our success. 🌐 Why Chaos LakeDB? - Turn cloud object storage into a live Search+SQL+GenAI analytics database. - Unlimited hot data retention. - A unified data lake for both operational (like Observability & Security Lake) and business insights. - Already trusted by industry giants like Cisco, Equifax and more. 💼 A Paradigm Shift: While many focused on app-level innovation, we saw the potential in the data layer. As Global Multinationals look to cloud provider’s GenAI services - heralding a triad of apps, models, and data, Chaos LakeDB stands out, accelerating model development and application development life cycles, slashing costs and turbocharging platform value. Fun Fact: If a firm that has deployed its own platform for clients adopts Chaos LakeDB, they could see their margins soar from 60% to a remarkable 85% - all thanks to Chaos LakeDB! Here's what James Kirschner, GM, Amazon S3 at AWS had to say: “Solutions like ChaosSearch’s Chaos LakeDB help improve how customers interact with their data, making it easier to manage, faster to leverage, and more cost effective, while retaining Amazon S3's industry-leading durability, availability, security, and scalability.” But wait, there's more! 🎉 We've been recognized as one of Gartner's Cool Vendors. A testament to our innovation & relentless pursuit of redefining data analytics boundaries. Dive into the future of Unified Data Lakes with Chaos LakeDB! #ChaosLakeDB #DataAnalytics #AI #UnifiedDataLake #AWS #GartnerCoolVendor #AWS #AWScloud #Data #dataanalytics #analytics #datalake #businessanalytics https://lnkd.in/dAUJrhsQ
Unveiling Chaos LakeDB: First Lake Database for Live Search+SQL+GenAI Analytics
chaossearch.io
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LakeDB is the first truly scalable and query-able datastore. With true separation of compute and storage (no caching), ChaosSearch is enabling companies to keep and access all of their machine data. #ThisIsGameChanging Thomas Hazel Ed Walsh
🔥 Announcing Chaos LakeDB - Redefining Data Lake architecture in a Cloud Data world Years of powering our log and event analytic SaaS led us to this monumental release. Now, platform providers can embed the foundation that's been behind our success. 🌐 Why Chaos LakeDB? - Turn cloud object storage into a live Search+SQL+GenAI analytics database. - Unlimited hot data retention. - A unified data lake for both operational (like Observability & Security Lake) and business insights. - Already trusted by industry giants like Cisco, Equifax and more. 💼 A Paradigm Shift: While many focused on app-level innovation, we saw the potential in the data layer. As Global Multinationals look to cloud provider’s GenAI services - heralding a triad of apps, models, and data, Chaos LakeDB stands out, accelerating model development and application development life cycles, slashing costs and turbocharging platform value. Fun Fact: If a firm that has deployed its own platform for clients adopts Chaos LakeDB, they could see their margins soar from 60% to a remarkable 85% - all thanks to Chaos LakeDB! Here's what James Kirschner, GM, Amazon S3 at AWS had to say: “Solutions like ChaosSearch’s Chaos LakeDB help improve how customers interact with their data, making it easier to manage, faster to leverage, and more cost effective, while retaining Amazon S3's industry-leading durability, availability, security, and scalability.” But wait, there's more! 🎉 We've been recognized as one of Gartner's Cool Vendors. A testament to our innovation & relentless pursuit of redefining data analytics boundaries. Dive into the future of Unified Data Lakes with Chaos LakeDB! #ChaosLakeDB #DataAnalytics #AI #UnifiedDataLake #AWS #GartnerCoolVendor #AWS #AWScloud #Data #dataanalytics #analytics #datalake #businessanalytics https://lnkd.in/dAUJrhsQ
Unveiling Chaos LakeDB: First Lake Database for Live Search+SQL+GenAI Analytics
chaossearch.io
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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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AMAZING!!! #Spanner #DataBoost - on-demand serverless superpowers to run workloads that are fully isolated from core application transactions... Thanks to BigQuery federation capabilities, #Spanner DataBoost effectively becomes specialized #BigQuery compute handling data objects managed by Spanner and its exceptional 🚀strong transactional consistency at global scale 🚀!!! #bigquery #HTAP #spanner #databoost
At Google next, we announced Databoost - a break-through technology delivering high-performance, workload-isolated, on-demand processing of operational data to support analytics, reporting, ML and more. No more data duplication or custom data pipelines. Data Boost takes advantage of Google’s disaggregated compute and storage architecture and provides on-demand, isolated compute resources to process analytical queries directly on the storage layer, with virtually no impact to the existing transactional workload. Try it out and let me know your feedback. https://lnkd.in/gtGfz-sM
Understanding Cloud Spanner Data Boost | Google Cloud Blog
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