🗺️ Explore how Volkswagen utilized Amazon Datazone to create a data mesh, addressing the challenges of data silos & governance. This initiative is part of the Digital Production Platform (DPP), co-developed through VW's strategic partnership with AWS. Read the blog to dive deep into the details 🤿 https://go.aws/46BhXfm #DataGovernance #AWS #BigData
AWS Databases & Analytics
IT Services and IT Consulting
Seattle, Washington 265,458 followers
Put your data to work on the most scalable, trusted, and secure cloud.
About us
At AWS, we believe the next wave of reinvention will be driven by data. The ideal data strategy isn’t one size fits all. It’s adapted for your needs. It gives you the best of both data lakes and purpose-built data stores. It lets you store any amount of data you need at a low cost, and in open, standards-based data formats. It isn’t restricted by data silos, and lets you empower people to run analytics or machine learning using their preferred tool or technique. And, it lets you securely manage who has access to the data. Choose from 15 databases, 12 analytics, and 30 machine learning services – more than you’ll find anywhere else - to help you get insights from your data.
- Website
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https://aws.amazon.com/products/databases/
External link for AWS Databases & Analytics
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Seattle, Washington
Updates
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📊 Achieve near real-time analytics for your Amazon DynamoDB data using zero-ETL integration with Amazon OpenSearch Service. No complex ETL pipelines required. Learn more. 👉 https://go.aws/4bY2ze4 #OpenSearch #DynamoDB #ZeroETL
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🗣️ Join us for our August sessions of the Amazon QuickSight Learning Series >> https://go.aws/3xUsNjH 💡 Learn to get the most using Amazon Q in QuickSight with a technical enablement deep dive & how to leverage Q to build reports. ✨ See generative BI used in the automotive industry to pull out insights in this live demo. 🚗 🛠️ Build your expertise creating QuickSight dashboards with sessions on adding filters with parameters & integrating Amazon Redshift in your dashboard. 🇯🇵 Hear about our exciting capabilities with Amazon Q in QuickSight (Japanese). Register for free to attend these sessions. #AmazonQuickSight #AWSCommunity #generativeAI
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🤔 In this episode of "Data Strategy Unravelled", AWS experts Khendr'a Reid & Moira Lennox introduce viewers to the world of data mesh, a modern approach to enterprise data management. They delve into the key reasons driving customers to adopt data mesh architecture, from increased agility to enhanced data governance. 🧠 Viewers will explore whether data mesh is primarily a technical implementation or a mindset shift, gaining critical insights into the nuanced nature of this emerging paradigm. The video covers the challenges & opportunities organizations should consider when leveraging data mesh, addressing issues like data autonomy, self-service & federated governance. 💪 The video closes with the crucial initial steps for data mesh implementation, addressing key elements such as domain-oriented data products & decentralized data ownership. Whether new to the concept or seeking to deepen your understanding, this video offers a comprehensive & insightful introduction to data mesh, empowering data professionals to navigate the evolving landscape of enterprise data management. 🎥 View it here 👉 https://go.aws/3S4T59C #DataMesh #AWSforData #AmazonQuickSight
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🚪 Knock, knock! 🚪 🗣️ Who's there? 🌀 'Your next data disaster,' said no one ever! 🌪️ ⌛ Learn about important disaster recovery options & plans with Amazon Redshift. 🗺️ 📖 Learn more here >> https://go.aws/3LscGNo #AWS #AmazonRedshift #DisasterRecovery
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🤖 ⚡ Unlock the power of #generativeAI with the right database! What key factors should be considered when selecting a database for your generative AI applications? 🔎 Explore our comprehensive guide to selecting the ideal database solution for your unique needs. ⬇️ 💡 Data storage & retrieval requirements for generative AI applications differ from traditional applications, necessitating careful consideration of database choice based on factors like embedding models, dimensionality, vector search & access patterns. ☁️ Amazon offers a range of databases like Amazon Aurora, Amazon OpenSearch Service, Amazon RDS, Amazon MemoryDB, Amazon Neptune & Amazon DocumentDB that can cater to the unique needs of generative AI applications, providing scalability, high performance & cost-effectiveness. 🔑 Key considerations when choosing a database for generative AI applications include familiarity, ease of implementation, scalability & performance. Ready to elevate your generative AI applications with #AWS #Databases optimized for #VectorSearch? Learn more. 👉 https://go.aws/4cN5s2y
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🚀 Discover how Figma tackled scaling its #PostgreSQL databases for exponential growth with its own horizontal scaling solution on #AmazonRDS 👉 https://go.aws/3VKEDVq This blog by Sammy Steele, Figma Software Engineer, outlines how Figma was able to grow their RDS for PostgreSQL stack by almost 100x since 2020 while minimizing developer impact, avoiding expensive backfills, maintaining strong data consistency & more. 📈 #AWS
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On this week's Data Dive 🤿 show, #AWSOnAir showcases how to build a global #generativeAI application with Amazon Aurora PostgreSQL: ☁️ Learn how to move your generative AI application to production. 📽️ Watch a live demo covering features included in Amazon Aurora that help you scale your application to a global customer base. 🤖 Learn how to get started building your generative AI application today! Tune in at 10:00 AM PDT, on twitch.tv/awsonair #Databases #AmazonAurora #PostgreSQL
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📈 To be data-driven, it's critical for business facing teams like sales, service & marketing to access data from places like a data warehouse or data lake. 📚 Learn how Salesforce Data Cloud empowers business-facing teams with data from Amazon Redshift with: ✅ Unified data view: Integrates external data seamlessly with Salesforce data for a comprehensive customer view. ✅ Real-time access: Provides near real-time access to data stored in external sources like Amazon Redshift. ✅ Data efficiency: Eliminates the need to copy or move large datasets, reducing storage costs & data duplication 📰 Read more here >> https://go.aws/4cGXaJx #AWS #AmazonRedshift #CloudDataWarehouse
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🚀 Amazon DataZone now offers fine-grained access control, providing data owners granular control over their data at row & column levels. 🔒 Restrict access to specific records of data, instead of granting access to the entire dataset. Column filters allow you to restrict access to specific columns such as those containing personally identifiable information (PII), ensuring that subscribers can only access necessary & less sensitive data. 🎛️ Control fine-grained access using a consistent, business user-friendly mechanism for all of your data across Amazon S3 data lakes & Amazon Redshift data warehouses. 📄 Read the how-to blog: https://go.aws/4f0an1o 📽️ Watch the demo: https://go.aws/4cTrqjO #DataGovernance #AmazonDataZone #CloudSecurity
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