Fort Lauderdale, 33308, FL,
United States
CloudHesive
CloudHesive, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. CloudHesive collaboration with software players such as Amazon Web Services (AWS) empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| CloudHesive | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | Analytics and BI |
| CloudHesive | Amazon Web Services (AWS) | Amazon Glue | Extract, Transform, and Load (ETL) | PaaS |
| CloudHesive | Amazon Web Services (AWS) | Amazon S3 | Cloud Storage | IaaS |
| CloudHesive | Amazon Web Services (AWS) | AWS Database Migration | Data Migration | PaaS |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
AJE Group | Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | Amazon Glue | Extract, Transform, and Load (ETL) | 2019 | In 2019, AJE Group implemented Amazon Glue as a core component of a centralized data platform to advance its Data Integration strategy. The Peru-based consumer packaged goods company engaged CloudHesive and AWS to consolidate disparate on-premises infrastructure into a cloud analytics architecture spanning more than 20 countries and multiple commercial functions. Amazon Glue was deployed as the serverless data integration layer, responsible for data discovery, schema inference, ETL orchestration, job scheduling, and cataloging. The implementation integrates AWS Database Migration Service to move on-premises SQL databases, Amazon S3 as the data lake storage backend, and Amazon Redshift as the cloud data warehouse, with Glue managing pipelines into Redshift and the S3-backed data lake. Operational coverage includes corporate analytics, sales, and customer-facing teams across AJE Group’s global footprint, delivering near real time access to metrics and customer information. CloudHesive supported the deployment and operational handover, with an architecture that emphasizes serverless services to minimize server management and enable rapid capacity adjustments. Governance changes established Amazon Redshift as a single source of truth and standardized country-level data models, while Amazon Glue centralized ETL and data catalog capabilities to broaden data visibility. Reported outcomes include a 35 percent reduction in ETL times, 15 percent savings in infrastructure costs, increased scalability and agility, and faster access to data for internal teams. | |
|
|
AJE Group | Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | Amazon S3 | Cloud Storage | 2019 | In 2019, AJE Group adopted Amazon S3 as the storage backend for a centralized corporate data platform on AWS, implementing Cloud Storage capabilities to underpin its analytics and data lake strategy. The deployment of Amazon S3 was part of a broader AWS architecture that included Amazon Redshift for cloud data warehousing and AWS Glue for serverless data integration, with CloudHesive engaged as the implementation partner. Amazon S3 was configured as the primary object store for the company data lake, supporting ingestion of structured and semi structured datasets. AWS Glue provided ETL orchestration and cataloging, while Amazon Redshift served as the universal repository and analytics engine, enabling SQL analysis across the data lake and warehouse. AJE Group used AWS Database Migration Service to move SQL databases into AWS to populate the data lake and Redshift, creating consolidated data models for cross country reporting. The implementation covered commercial and analytics functions across AJE Group’s footprint in 22 countries, improving data access for sales and customer teams and enabling near real time availability of previous day metrics at the start of the workday. CloudHesive supported integration and rollout activities, and the architecture emphasized serverless and scalable patterns to allow rapid instance adjustments and capacity changes without ongoing server management. Governance centered on Amazon Redshift as the single source of truth and the data lake on Amazon S3 to broaden organizational visibility and self service analytics. Outcomes explicitly reported by the company include a 35 percent reduction in ETL times, 15 percent savings in infrastructure costs, 20 percent faster data delivery to internal teams, increased scalability to support expansion, and strengthened foundations for future predictive analytics and AI initiatives. | |
|
|
AJE Group | Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 | In 2019, AJE Group deployed Amazon Redshift as the core Cloud Data Warehouse within a centralized corporate analytics platform on Amazon Web Services, engaging CloudHesive as the implementation partner. The initiative consolidated distributed on-premises infrastructure into a single analytics fabric that supports operations across AJE Group’s footprint in 22 countries and spans analytics, sales, and customer-facing teams. The Amazon Redshift configuration was positioned as the universal repository and single source of truth, supporting SQL analysis of structured and semi-structured data. AJE Group paired Amazon Redshift with a data lake on Amazon S3 for storage and used AWS Glue for serverless data integration to discover, prepare, and move data. The company moved on-premises SQL databases to AWS using AWS Database Migration Service to populate the new platform and accelerate pipeline throughput, enabling a 35 percent reduction in ETL times. Integrations centered on Amazon Redshift, Amazon S3, AWS Glue, and AWS Database Migration Service, creating end-to-end ingestion and analytics flows that deliver near-real-time visibility. The Cloud Data Warehouse solution was instrumented to feed country-level data models and to provide next-day metrics to business users, enabling internal teams to access data roughly 20 percent faster than before. Governance and operational changes included centralizing data access patterns, establishing Amazon Redshift as the companywide analytics repository, and expanding data literacy to support broader consumption. Reported outcomes tied to the AWS implementation include 35 percent faster ETL, 15 percent savings in infrastructure costs through cloud consumption models, improved scalability for market expansion, and increased agility to pursue predictive analytics and AI opportunities. | |
|
|
|
Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | AWS Database Migration | Data Migration | 2019 |
|
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Buyer Intent: Companies Evaluating CloudHesive Services
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||