Organizer
In today's data-driven world, enterprises constantly seek ways to streamline their operations and improve their bottom line. With the increasing demand for cloud-based solutions, many organizations are turning to Amazon Web Services (AWS) to help manage their data processing needs. But for many, the journey to the cloud can be a complex and challenging process.
As an AWS partner, Tredence is helping enterprises accelerate their migration journeys to the AWS cloud while ensuring they receive the highest quality and expertise.
With our deep experience in data analytics and data science, we fortify the AWS practice, bringing together the cutting-edge capabilities of the AWS cloud data platform with Tredence's expertise in ensuring successful analytics adoption.
Core Service Capabilities
Cloud Data Warehouse Advisory Services
Platform Administration, Governance and Operating Model
Migration Services
Data Engineering Services
Analytics and Adoption
Infra and Application Adoption
Scale your data processing capability with Tredence’s AWS products and service expertise
Scale your data processing capability with Tredence’s AWS products and solutions expertise
Developed using CloudWatch, EventBridge, and SNS, and Lambda, it prevents concurrent execution of step functions and sends automated alerts in case of job failures. Helps track job performance with an intuitive dashboard.
Leverages DMS and Glue to transform and move data from on-premise sources to the cloud, specifically Redshift and S3.
Uses Glue to integrate with third-party marketing tool APIs to extract data into S3 and then transfer it to Redshift for downstream consumption.
An interactive dashboard built on AWS Lambda to trigger Python scripts to execute complex stored procedures from AWS RDS scheduled using AWS EMR-Spark Integration to forecast health metrics and alert systems based on the metrics and other advanced analytical capabilities.
Predictive supply risk management is a white box purpose-built solution that can be tailored to the supply chain's specific needs. Built using AWS, it helps ingest batch and streaming data from internal data sets, clean and refine data, etc. It provides predictive recommendations through web-based applications or business intelligence systems.