Sold by: AppFluid LLC
AppFluid’s Data Foundation Launch is a fixed‑scope, professional service that delivers a secure data landing zone, automated ingestion for two priority sources, and one production‑ready analytics output in weeks, not months. Led by U.S.-based principal consultants and executed with globally distributed engineering, the engagement standardizes on Amazon S3, Glue Data Catalog, Athena or Redshift Serverless, EventBridge, and Lambda, with governance, observability, and runbooks, plus training and handover so your team can operate on day two. Ideal for Small to Medium organizations needing rapid time‑to‑value, predictable costs, and a scalable lakehouse foundation for AI and analytics.
Overview
AppFluid’s Data Foundation Launch is a fixed‑scope, professional service that stands up a production‑ready lakehouse in weeks, not months, so your team can deliver analytics immediately and scale confidently. We deliver a secure Amazon S3 landing zone with governance (IAM/KMS, private endpoints), automated ingestion for two priority sources using AWS Lambda and Amazon EventBridge with operational alerts via Amazon CloudWatch and Amazon SNS, and a curated Parquet/partitioned data layer registered in AWS Glue Data Catalog for query with Amazon Athena or Amazon Redshift Serverless. The engagement includes baseline data quality checks, runbooks, and enablement so your team can operate on day two, not day 200.
Designed for Small to Medium organizations that need predictable cost and fast time‑to‑value, the offer standardizes proven architecture and delivery patterns to reduce risk and eliminate variability. You get a hardened landing zone, repeatable ingestion scaffolding, and a governed storage model that accelerates dashboards, KPIs, and downstream ML/AI initiatives, without locking you into custom, one‑off builds. We provide clear acceptance criteria and handover (training + playbooks) aligned with AWS Well‑Architected guidance for operational excellence, so you start with a maintainable foundation instead of tech debt.
Related AWS Services disclosed: Amazon S3, AWS Glue / Glue Data Catalog, Amazon Athena, Amazon Redshift Serverless, AWS Lambda, Amazon EventBridge, Amazon CloudWatch, AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and where appropriate Amazon DynamoDB (for configuration/state) and Amazon Simple Notification Service (SNS) (for alerts). This service implements best‑practice patterns across these AWS services; any third‑party tools or additional AWS services are out of scope unless added via change order or add‑on package.
Highlights
- Production‑ready in weeks: Our Data Engineering team delivers a fixed‑scope Data Foundation, including secure Amazon S3 landing zone, automated ingestion for two priority sources, curated Parquet/partitioned storage in Glue Data Catalog, and one certified analytics output via Athena or Redshift Serverless, for fast time‑to‑value and predictable cost.
- Hardened and governable: The Data Foundation ships with IAM/KMS, private endpoints, CloudWatch/SNS alerts, baseline data quality checks, and runbooks; standardized Data Engineering patterns reduce risk and variance while aligning to AWS Well‑Architected for auditable, scalable operations.
- Enablement that sticks: We train your team and hand over templates, conventions, and dashboards so you can operate on day two; the Data Foundation creates repeatable Data Engineering building blocks for future sources, AI/ML, and self‑service analytics, with optional add‑ons for extra ingestion, historical backfill, compliance, or managed services.
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