With AWS, you have access to tools that can help you use your data to improve your customer experience, drive new business insights, and increase operational efficiency.
AWS Big Data solutions support distributed processing frameworks, predictive analytics and machine learning, real-time analytics, and petabyte-scale data warehouses. And, unlike on-premises approaches, there’s no need to procure, deploy, and manage hardware. Organisations who are looking to get more out of their data practice can rely on AWS and Startsmart as their trusted Big Data advisors.
Implementing a Big Data practice with on-premises solutions requires large clusters of servers and other expensive hardware that are slow to provision, expensive to procure, and complex to manage. AWS enables your organisation to deploy and scale the capacity needed to process, store, and analyze Big Data workloads almost instantly. This means your teams can experiment faster and with lower risk, enabling them to be more productive and roll out projects that help you use your data to improve your customer experience, drive new business insights, and increase operational efficiency more quickly.
Broad and Deep Capabilities
Organisations looking to begin or expand their Big Data practice should look to Amazon Web Services for broad and deep capabilities to support virtually any workload. With 50+ services and hundreds of new features being added each year, AWS provides everything you need to collect, store, process, analyse, and visualise Big Data in the cloud. Whether you’re looking to improve your customer’s digital experience, build applications that get smarter over time, improve operational efficiency, or build a reliable ad serving platform, AWS has broad capabilities to fit your needs.
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers.
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need.
AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running.With Lambda, you can run code for virtually any type of application or backend service - all with zero administration.