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As an AWS Consulting Partner focused on Data & Analytics, our primary objective is to accelerate the application of digital transformation and data-driven culture through data projects that transform organizations. DataSprints’ expertise connects the knowledge of Software Development, Cloud Infrastructure and Data Engineering to deliver fast solutions that facilitate the creation of new insights by the Organization’s Data Scientists and Analysts. We maintain a team of experts in the various AWS tools, in combination with open-source platforms, to build efficient, resilient and scalable ecosystems to process, store and make massive amounts of data available.
We are proud to share that we have been nominated as “Social Impact Partner of the Year 2021” by Amazon AWS Partner Network (APN) due to our outstanding performance and commitment to Amazon Web Services (AWS) users on the HealthLake project.
Visit: https://healthlake.com.br/ to learn more.
Check out our official AWS Consulting Partners page
#1
Processing large volumes of data is already an unavoidable challenge for most businesses. Using the ultra-durable and available storage service, Amazon S3, combined with Amazon EMR and AWS Glue processing platforms, we conquer terabytes of data to deliver the most relevant answers for your business.
#2
Data from ERP and CRM are still part of the biggest demand for analysis in organizations. To handle big data in structured and semi-structured data like those solutions, traditional DW platforms are not enough. With Amazon Redshift you can cost-effectively have the power to process petabytes, in a scalable and powerful way. With Spectrum you can even merge it with data from your Data Lake in S3, bringing even more power to your analytics platform.
#3
In today’s times, decision making happening in seconds can be a competitive advantage for companies. To enable this advantage, DataSprints uses tools such as Kinesis Stream and Amazon MSK (Managed Kafka), as well as AWS ElasticSearch Service to analyze large volumes of data and deliver disruptive insights in real-time.
#4
It is essential to keep your data well organized for easy access and discovery of the data by analysts and scientists. Orchestration tools such as Glue and Step Functions are necessary to maintain the lineage of your work. In addition, the catalog and access control can be done in platforms such as Glue Catalog and Lake Formation, centralizing the governance of the platform
Lett – Data Lakes Structuring
Continuous Integration with Fargate and AWS Lambda
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