Tools & Capabilities of AWS
What provides a large amount of monetary value but never shows up on a balance sheet?
Data.
The amount of data available is growing at a rapid pace and knowing how to use it effectively can be the difference between success and failure for an organization. A problem that many organizations run into is the inability to keep up with the amount of data being generated or received and are looking for solutions that allow them to scale, store, and process data faster and more efficiently for a more competitive edge. That’s where Amazon Web Services (AWS) comes in.
With an end-to-end platform more diverse and flexible than anything else on the market, AWS can act as a one stop shop for everything Data & Analytics. Hosted entirely in the cloud, AWS provides users with a plethora of tools and technologies to take full advantage of their digital assets, ensuring they are not left behind in the digital transformation currently underway.
Though robust, with AWS’s many capabilities comes complexity. Conversations with our customers have shown that they often start to research AWS but are commonly stifled by the multitude of different names/acronyms and have a hard time piecing together the relationships between these tools.
Stay tuned as we explore some of the most common ways that organizations are making the transition to AWS to scale and adapt to the demands of their employees and customers. We’ll dive into how the AWS offerings listed below map to your current toolsets and cover more niche topics to ensure you have a full understanding of AWS’s capabilities, which often times are not a one-to-one replacement of what you currently may be using.
Data Storage and Database
- S3 – Object Storage
- Redshift – Data Warehouse
- DynamoDB – NoSQL Database
Analytics
- Athena – Interactive Analytics
- EMR – Big Data Processing
- Redshift Spectrum – Interactive Analytics
- Quick Sight – Dashboards and Visualizations
- Glue – Data Movement
Machine Learning
- SageMaker – Data Science Platform
In our next article we will review the intricacies of these tools and their relationships, using diagrams and visualizations to enforce these concepts. If you’re interested in learning more about using AWS in your organization, get in touch with us.
About Ironside
Ironside was founded in 1999 as an enterprise data and analytics solution provider and system integrator. Our clients hire us to acquire, enrich and measure their data so they can make smarter, better decisions about their business. No matter your industry or specific business challenges, Ironside has the experience, perspective and agility to help transform your analytic environment.
