AWS Partner Network (APN) Blog

Category: Database

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Migrating 50,000 MySQL Databases to Amazon Aurora with Futuralis

Large-scale database migrations are difficult, have multiple phases, and are time-consuming. Customers want a simpler way to achieve large-scale migration with little to no downtime. Learn how Futuralis helped their customer migrate more than 50,000 MySQL databases hosted on an Amazon EC2 server to Amazon Aurora relational database using AWS and native MySQL tools. The customer had MySQL version 5.5 hosted on EC2 with more than 50,000 databases with 1.5 million tables and hundreds of millions of records.

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Amazon Redshift Administration and FinOps Using LTI Canvas Glide

As organizations acquire more and more data, the need to effectively store and query the data has become very important. Canvas Glide from LTI is a tool for administering Amazon Redshift’s day-to-day routine tasks. It also helps organizations manage all financial aspects related to cost allocation, chargeback, monitoring, and planning of Amazon Redshift clusters. Learn how Canvas Glide assists administrators to successfully manage their clusters and guides them on common maintenance tasks.

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Gaining Operational Insights of the Australian Census with AWS

In early August, millions of people took part in the 2021 Census across Australia, providing a comprehensive picture of the country’s economic, social, and cultural makeup. The Australian Bureau of Statistics (ABS) ran the 2021 Census on AWS using an operational insights platform built in partnership with AWS Professional Services, Shine Solutions, ARQ Group, and the ABS. Learn how this tool provided near real-time insights into a very complex logistical activity.

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Leveraging the Power of Esri’s ArcGIS Enterprise Through Amazon Redshift

Esri and AWS are extending their collaboration through an extensive integration of product suites and services. This includes Amazon QuickSight leveraging Esri basemap tiles through Amazon Location Service. Esri also supports ArcGIS Enterprise on Kubernetes running with Amazon EKS, and interoperability with Amazon Redshift. Esri‘s GIS solutions create, manage, analyze, and map various types of geospatial data. Their flagship GIS mapping software, ArcGIS, is a powerful mapping and spatial analytics technology.

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Managing the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

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How to Tier Your Data in MongoDB Atlas to Reduce Storage Costs

With the proliferation of different, constantly changing applications, it’s become a challenge to innovate quickly while having a strategy in place to prevent ballooning storage costs. Legacy archival and analytic tools often restrict developers and diminish the benefits of NoSQL’s handling of modern, rich data sources. Learn how MongoDB is committed to making it easier for customers to scale and transform their data management solutions to make developers’ lives easier.

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Proving the Performance of Oracle Exadata-Based Workloads on AWS

Organizations the world over rely on the Exadata database platform to operate and manage Oracle databases, simplify data management, and ensure performance-intensive systems are running as expected. While Exadata workloads perform well on premises, customers are looking to achieve the scalability, flexibility, and cost benefits of AWS. Learn how Navisite tests the performance of Exadata workloads once they have been migrated to AWS using Oracle Real Application Testing (RAT).

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Migrate Legacy Systems to Modern Application Development Environments with MongoDB Atlas on AWS

To reap the benefits of cloud computing, organizations cannot simply take their existing applications and architectures in their legacy on-premises environment and move them as-is to the cloud. True cloud modernization with MongoDB Atlas on AWS enables you to move data and simultaneously apply the latest innovations in development methodologies, architectural patterns, and technologies to refresh your portfolio of existing applications.

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MariaDB-AWS-Partners

MariaDB Collaborates with AWS to Deliver SkySQL on AWS

MariaDB offers a single unified analytical and transactional cloud database that can auto scale without the costly tradeoffs. SkySQL is a database as a service (DBaaS) solution on AWS that makes it easy for customers to start using MariaDB Enterprise in the cloud. It eliminates the need to pre-provision expensive hardware for testing, which often sits idle. In this post, the AWS SaaS Factory team speaks with Alexey Vorovich, VP of Engineering for SkySQL at MariaDB, about the recent SkySQL launch.

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Application Modernization with MongoDB Atlas on AWS

Competitive advantage often lies in a company’s ability to create modern customer experiences. But for many, an unwieldy data infrastructure can get in the way and prevent innovation. Explore the importance of modernizing your data infrastructure to speed up application development and iteration, and dive deep on key features and benefits of using MongoDB Atlas on AWS to get the job done. Additionally, we’ll review a case study of one organization’s modernization journey.

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