AWS Data Engineering
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.
Why Choose AWS for Data Engineering?
Leading the market for more than 10 years, Amazon Web Services offers a wide variety of services, including compute power, database engines, resources for authentication, and services for migration of data and storage solutions.
With an added benefit of having a global infrastructure, you will be able to deploy your application and collaborate internationally. Pay as you go; pricing model will reduce the aftermath of investing in services you have no use of right now. Scalability at the tip of your fingers ensures growing and changing of products and services you provide on smoother run.
What Crossroad Elf Provides
As AWS Data Engineering Consultants in Bangalore, we believe that Data and analytics have become a competitive differentiator and a primary source of value generation for organizations. But, transforming data into a valuable corporate asset is a complex topic that can easily entail the use of dozens of technologies, tools, and environments. With AWS, we at Crossroad Elf, a leading Data Engineering company in Bangalore, provides the broadest and deepest set of managed services for data lakes and analytics, along with the largest partner community to help you build virtually any big data application in the Cloud.
By using AWS Data & Analytics, Crossroad Elf has demonstrated success in helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data, at any scale. Our in-house industry AWS solutions architects and experts, help you build, test, and deploy data & analytics solutions based on AWS best practices for security and high availability, in a few simple steps.
