An AWS Modernization Pathway with TD SYNNEX
The "Move to Managed Analytics" pathway focuses on migrating from complex, on-premises data warehouses and ETL jobs to a modern, scalable, and cost-effective analytics platform on AWS. This journey unlocks data potential by breaking down silos and empowering organizations with faster, deeper insights through managed services.
Business insights are delayed by slow-running queries and reports.
Valuable data is trapped in different systems, preventing a unified view.
On-premises data warehouses can't handle growing data volumes.
Hardware, software, and maintenance costs are unsustainable.
Brittle, hand-coded data pipelines are difficult to maintain and scale.
Batch processing can't meet the demand for immediate data analysis.
Customer recognizes limitations of their current analytics stack and begins exploring modern, cloud-based solutions.
A concrete opportunity is identified. Partner qualifies the lead and builds the initial business case.
The technical solution is designed and validated through workshops and a Proof of Concept (PoC).
A formal proposal with the target architecture, a phased migration plan, and a clear ROI is presented to the customer.
Execute the analytics migration, including data ingestion, transformation, and dashboard creation.
Provide ongoing support, optimize data pipelines and query performance, and help drive user adoption.
Athena, CloudSearch, DataZone, EMR, FinSpace, Kinesis, Data Firehose, Managed Service for Apache Flink, Kinesis Data Streams, Kinesis Video Streams, OpenSearch Service, OpenSearch Serverless, Redshift, Redshift Serverless, QuickSight, Clean Rooms, Data Exchange, Data Pipeline, Entity Resolution, Glue, Lake Formation, Managed Streaming for Apache Kafka (MSK)
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