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5 Best Practices for Modern Data Analytics
When designing data analytics applications in the cloud, there are many best practices to keep in mind.
In this video, we discuss the five key areas you must consider as you implement modern data analytics practices.
Key Area #1 - Cost
For cloud-based data analytics to make sense, the tools you use must create tangible value.
Calculate the total cost of ownership for your current analytics applications. Then, estimate what you leave on the table by not having the right tools for analyses you want to run.
With a leading cloud provider like Amazon Web Services, you can both cut costs and increase revenue through a variety of analytical services.
Key Area #2 - Performance
Modern analytical tools should boost your company’s overall performance and productivity.
With the right capabilities, you can increase business agility, efficiency, application availability, and reliability.
Plus, you can generate insights from data in real time and bring new products to market more quickly.
Key Area #3 - Scalability
Scalability is crucial for modern businesses, especially those that want to take advantage of big data.
You should be able to process any volume of data from anywhere without burdening your IT infrastructure.
Fortunately, AWS offers a variety of managed data services and serverless tools to help companies process any data volume at scale.
Key Area #4 - Modernization
Modern data analytical tools improve rapidly.
Your company must modernize IT infrastructure when possible to leverage the latest data and analytics innovations.
With AWS, you can implement robust data lakes, data warehouses, and data pipelines that simplify high-volume data management.
Key Area #5 - Ongoing Improvements
You want to work with a cloud provider that is constantly updating offerings and capabilities.
That way, you can ensure your business has access to industry-leading data analytics tools.
AWS is constantly improving its cloud platform and features to help business leaders stay one step ahead of the competition.
Taking full advantage of modern data analytics tools requires ongoing optimization and an excellent cloud provider.
Ready to upgrade your data analytics capabilities?
Speak with a ClearScale data and analytics expert today.
ClearScale is a leading provider of professional cloud services, including architecture design, integration, automation, management, and application development. The company has helped hundreds of businesses migrate and modernize legacy applications. The company is an Amazon Web Services Partner Network (APN) Premier Consulting Partner with ten AWS competencies.
ClearScale is ready to handle your next cloud project. Get in touch today to speak with a cloud expert and discuss how we can help.
Phone: 1-800-591-0442
Web: www.ClearScale.com
Email: sales@clearscale.com
Видео 5 Best Practices for Modern Data Analytics канала Clearscale: APN Premier Consulting Partner
In this video, we discuss the five key areas you must consider as you implement modern data analytics practices.
Key Area #1 - Cost
For cloud-based data analytics to make sense, the tools you use must create tangible value.
Calculate the total cost of ownership for your current analytics applications. Then, estimate what you leave on the table by not having the right tools for analyses you want to run.
With a leading cloud provider like Amazon Web Services, you can both cut costs and increase revenue through a variety of analytical services.
Key Area #2 - Performance
Modern analytical tools should boost your company’s overall performance and productivity.
With the right capabilities, you can increase business agility, efficiency, application availability, and reliability.
Plus, you can generate insights from data in real time and bring new products to market more quickly.
Key Area #3 - Scalability
Scalability is crucial for modern businesses, especially those that want to take advantage of big data.
You should be able to process any volume of data from anywhere without burdening your IT infrastructure.
Fortunately, AWS offers a variety of managed data services and serverless tools to help companies process any data volume at scale.
Key Area #4 - Modernization
Modern data analytical tools improve rapidly.
Your company must modernize IT infrastructure when possible to leverage the latest data and analytics innovations.
With AWS, you can implement robust data lakes, data warehouses, and data pipelines that simplify high-volume data management.
Key Area #5 - Ongoing Improvements
You want to work with a cloud provider that is constantly updating offerings and capabilities.
That way, you can ensure your business has access to industry-leading data analytics tools.
AWS is constantly improving its cloud platform and features to help business leaders stay one step ahead of the competition.
Taking full advantage of modern data analytics tools requires ongoing optimization and an excellent cloud provider.
Ready to upgrade your data analytics capabilities?
Speak with a ClearScale data and analytics expert today.
ClearScale is a leading provider of professional cloud services, including architecture design, integration, automation, management, and application development. The company has helped hundreds of businesses migrate and modernize legacy applications. The company is an Amazon Web Services Partner Network (APN) Premier Consulting Partner with ten AWS competencies.
ClearScale is ready to handle your next cloud project. Get in touch today to speak with a cloud expert and discuss how we can help.
Phone: 1-800-591-0442
Web: www.ClearScale.com
Email: sales@clearscale.com
Видео 5 Best Practices for Modern Data Analytics канала Clearscale: APN Premier Consulting Partner
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9 декабря 2020 г. 19:34:11
00:02:35
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