If you attended the annual AWS re:Invent conference in Las Vegas last month, what a buzz! If you couldn’t make it, we’ve got all the news here for you and we’re excited to share it.
AllCloud was proud to be a Showcase sponsor of re:Invent 2022. It was wonderful hosting attendees at our Happy Hour, catching up with partners and customers, meeting new connections, and tapping into the current industry trends.
Here’s a quick rundown of AllCloud’s presence at re:Invent 2022:
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- 30+ AllClouders from across the globe
- 121 attendees at AllCloud’s Happy Hour
- 4 Partner of the Year Awards
- AWS Graviton Delivery Launch Partner Designation – We’re excited to be helping customers leverage improved compute performance at a lower cost with AWS Graviton.
If you want to see the full announcement list from AWS re:Invent 2022, check it out here. This year’s conference made us particularly excited as we noticed that AWS is putting a lot of focus on the Data and Analytics space. It appears that the jury is in: Data is the future of innovation, and that’s why AWS is invested in reducing the complexity and cost of migrating, analyzing and managing data for its customers.
Meanwhile, we’ve put together the main takeaways from two keynote presentations that cover many of the interesting announcements coming from the Data & Analytics space. Here’s what caught our eye:
Focus on Data, Security & Human Research
During the Keynote by Adam Selipsky, Chief Executive Officer of Amazon Web Services, there were a few ideas that really stuck out. He mentioned that in the next 5 years, more data will be generated than has been generated in entire human history as well as that there is simply no way to postpone the modernization of your data stack; do it as soon as possible, otherwise, you’ll be giving your competitors a significant edge.
The keynote also included several exciting product announcements:
- AWS has completed the modernization of its data offering, and all services are now available in serverless, including Amazon OpenSearch Serverless.
- With zero ETL, Aurora and Redshift can seamlessly work together and you can now combine the best of both worlds.
- EMR Spark now has native integration with Redshift, reducing costs and speeding up upload times.
- With Amazon Security Lake, you can centralize all your security data in a cost-effective manner and analyze it with powerful AWS services to provide the best security and early detection for your platform.
The Future-proofing Starts Now
During the Keynote by Swami Sivasubramanian, Vice President, Data and Machine Learning, AWS, we heard similar messages. For example: with the unprecedented amount of data that will be generated in the coming years, building a future-proof data architecture is becoming ever more challenging. And choosing a platform that can scale cost-effectively to meet any future demand is absolutely critical.
More awesome announcements:
- Amazon Athena Notebooks for Apache Spark is a serverless Jupyter notebook in front of EMR serverless. The is going to be a great product for data analysts and data scientist to analyze their data.
- Redshift got two new major features: Multi-AZ and auto-copy. The new Multi-AZ is huge news. Many of our customers have required this feature for years. Previously you could achieve auto-copy synthetically using an S3 event notification + Lambda with minimal coding. The new out-of-box integration now reduces the complexity, which is a nice bonus.
- DocumentDB can finally scale infinitely. Previously, the cluster was limited to 64TIB; this blocked migration from MongoDB into DocumentDB in many instances – not anymore.
- Redshift data sharing was lacking fine-grained access control, which was problematic for multi-tenant tables and for many other use cases. Redshift now has native integration AWS Lake formation and can provide fine-grained access control on data sharing, which means you can centrally manage all data sharing.
More Data Migration Tool Updates
For AllCloud customers, the good news continues:
AWS now offers a fully managed Schema Conversion in AWS Database Migration Service.
AWS DMS Schema Conversion streamlines database migrations by making schema assessment and conversion available inside AWS DMS. You can now plan, assess, convert and migrate under one centralized service – DMS.
Excited about the future of data? Looking to “reinvent” your AWS environment with new features and tools? Contact AllCloud to start your data discovery!