AWS Big Data Solutions
Amazon Web Services provides a broad platform of secure, cost-effective, high-performance cloud services that help you collect, store, process, and analyze Big Data workloads. With High Peaks and 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 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.
Analyzing large data sets requires significant compute capacity that can vary in size based on the amount of input data and the type of analysis. This characteristic of big data workloads is ideally suited to the pay-as-you-go cloud computing model, where applications can easily scale up and down based on demand. As requirements change, you can easily resize your environment (horizontally or vertically) on AWS to meet your needs, without having to wait for additional hardware or being required to over invest to provision enough capacity. For mission-critical applications on a more traditional infrastructure, system designers have no choice but to over-provision, because a surge in additional data due to an increase in business need must be something the system can handle. By contrast, on AWS you can provision more capacity and compute in a matter of minutes, meaning that your big data applications grow and shrink as demand dictates, and your system runs as close to optimal efficiency as possible
Analyzing large data sets requires significant compute capacity that can vary in size based on the amount of input data and the type of analysis. This characteristic of big data workloads is ideally suited to the pay-as-you-go cloud computing model, where applications can easily scale up and down based on demand. As requirements change, you can easily resize your environment (horizontally or vertically) on AWS to meet your needs, without having to wait for additional hardware or being required to over invest to provision enough capacity. For mission-critical applications on a more traditional infrastructure, system designers have no choice but to over-provision, because a surge in additional data due to an increase in business need must be something the system can handle. By contrast, on AWS you can provision more capacity and compute in a matter of minutes, meaning that your big data applications grow and shrink as demand dictates, and your system runs as close to optimal efficiency as possible
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Why Choose AWS Big Data?
Trusted and Secure AWS big data policies, processes, and controls are:
Turn your organization’s data into valuable information with Amazon Web Services. You can transform archived, current, or future application data into an asset to help your business. AWS Big Data solutions provides tools that let your teams be more productive, so it’s easier to try new things, and roll out projects sooner. |
Running applications as well?
Leverage Docker Container Services with High Peaks As a Docker partner as well as a member of the AWS Partner Network, High Peaks is uniquely positioned to assist in your transition to the cloud. If you're already on the cloud and running your apps across the O/S spectrum? As us about Docker Enterprise Container Platform.
Choice.
It is the customer's choice as to where it is they put their applications. Whichever platform or environment they choose to run it on or take it from and bring it back. Cloud, on-premise or Hybrid. Linux or Windows. The selection of Docker native or 3rd party tools. It's entirely up to you. No other containerization approach can say this. Secure. The key is secure control of the environment and the ability to audit every step in the process. Docker containers are more secure than other approaches with, arguably, the smallest footprint for attack vectors out there. Gartner and others have acknowledged this. Agility. Standardization means speed. Faster development. Faster testing. Easier, faster scalability. In a world with IT is more and more a driver of competitiveness, Docker containers are the path to being more responsive and delivering value to employees and customers sooner. And because of Docker extensibility, they’ve got a future-proof system designed to let them adopt new technologies in the future. |