Enterprises today have a lot of structured and unstructured data accumulating in unexpected silos across the organization, as well as external databases. AWS data engineering solutions are perfect for gathering, processing and storing enterprise data from disparate sources
Free up your teams to focus on application performance, as you leverage Amazon RDS to set up and manage you relational database on the cloud. Supporting six popular relational databases - Amazon Aurora, MySQL, PostgreSQL, Oracle, MariaDB, and SQL Server - Amazon RDS automates administrative tasks and offers resizable capacity.
Srijan teams routinely deploy Amazon RDS across enterprise projects to deliver highly available and secure applications.
Get your data lakes up and running in days, with AWS Lake Formation. Define where your data resides, and your requisite security and access policies, to set up a fully functional data lake. Lake Formation pulls data from defined sources, classifies them using machine learning algorithms, and secures access to sensitive data - all so it’s ready to be processed by any of the analytics services.
A fully managed service to ingest and process real-time data streams, Amazon Kinesis is a critical solution when it comes to quickly reacting to new information. Audio, video, application logs, IoT telemetry and other real time data can be processed and analyzed at scale, efficiently and cost-effectively.
Ensure enterprise-wide access to business intelligence data with Amazon Quicksight. Secure APIs can pull data from different sources, both cloud and on-premises, and allow you to create and publish dashboards that can be embedded across business applications. For enterprises, Amazon Quicksight eliminates the challenges of scaling architecture and expensive usage licenses. Serverless architecture and pay-per-session model allows it to scale for use by anyone at the enterprise.
Optimize batch processing of data with Amazon Batch, that can schedule and manage your compute jobs. Natively integrated with the AWS platform, Batch takes care of all infrastructure provisioning, and eliminates the cost of running third party batch processing solutions. Capable of storing and retrieving data from AWS services like S3, DynamoDB and more, Batch is zero cost and you pay only for the AWS resources you use to run and store your batch jobs.
Operate Elasticsearch for your enterprise data with fully managed servers, and zero downtime. Amazon Elasticsearch integrated seamlessly with Kibana and Logstash via open-source APIs, to give you the ELK stack that fits your requirements. No upfront charges or minimum usage requirements ensure that you have a cost-effective, pay-per-use solution for real time search and visualization of your enterprise data.
Unlock the potential of your enterprise data - search, process, analyze and visualize - with AWS data engineering services. As AWS Advanced Consulting Partners, Srijan’s expert teams can handle your data engineering requirements. Just drop us a line, and our team will be in touch to explore how Srijan can help.
Srijan's cloud-native COE leverages AWS products and capabilities to deliver high-performance applications.
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