Sold by: Applying Consulting
Applying Consulting designs and implements centralized Data Lakes on AWS using Lake Formation and S3. Consolidate data from all your sources into a single governed repository — with access controls, data catalog, and consumption layers for analytics, ML, and BI at scale.
Overview
Applying Consulting is an AWS Advanced Partner delivering Data Lake implementations that transform fragmented, siloed data into a centralized, governed repository ready for analytics, machine learning, and business intelligence at scale.
A Data Lake is not just dumping all your data into an S3 bucket. It is architecture, governance, access controls, and consumption layers that convert raw data into decisions. Without proper design, a Data Lake becomes a data swamp — full of data nobody can find or trust.
What we deliver:
- Data Lake architecture design (raw, curated, and consumption zones)
- Multi-source data ingestion from databases, APIs, files, and streams
- AWS Glue Data Catalog for automated data discovery and cataloging
- AWS Lake Formation for centralized access governance and fine-grained permissions
- Data quality framework and lineage tracking
- Consumption layer setup: Athena (ad-hoc SQL), Redshift Spectrum (DW queries), QuickSight (BI), SageMaker (ML)
- IAM policy design for role-based data access
Data sources we integrate: Relational databases (RDS, Aurora, SQL Server, Oracle), flat files (S3, SFTP, FTP), streaming data (Kinesis), SaaS platforms (Salesforce, HubSpot, SAP), and custom APIs.
Business impact: Single source of truth eliminates inconsistent reporting across departments. Cross-source data analysis enables insights impossible with siloed data. Foundation for advanced analytics, ML, and AI that requires consolidated data at scale.
This service relates to AWS Lake Formation, Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift Spectrum, and AWS IAM.
Proven with clients including Experian, Smartbeemo, and Quimpac.
Highlights
- A Data Lake is not just data in S3 — it is architecture, governance, and consumption layers. Applying Consulting implements Lake Formation with fine-grained access controls, Glue Data Catalog for discoverability, and consumption layers for Athena, Redshift, QuickSight, and SageMaker.
- Consolidate data from all your sources — relational databases, APIs, flat files, SaaS platforms, and streams — into a single governed repository. Cross-source analysis enables insights that are impossible with siloed data.
- Proven with Experian, Smartbeemo, and Quimpac. Three-zone architecture (raw, curated, consumption) with data quality framework and lineage tracking. The foundation every serious analytics, ML, and AI investment requires.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Support
Vendor support
Applying Consulting provides architecture design, implementation, and governance configuration support throughout the Data Lake engagement.
Support channels:
- Email CO: sales.colombia@applying.cloud
- Email PE: sales.peru@applying.cloud
- Website: https://www.applying.cloud
- Business hours: Monday to Friday, 9:00 AM – 6:00 PM (Lima, Peru / Bogotá, Colombia)
- Service delivery language: Spanish
Support scope: Buyers receive a data source inventory workshop, Lake architecture design, ingestion pipeline implementation, Lake Formation governance configuration, data catalog setup, consumption layer deployment, and operational handover. Natural follow-on: BI/QuickSight, ML Pipelines, or Predictive Analytics.