Santa Clara, 95054, CA,
United States
DoiT International
DoiT International, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. DoiT International collaboration with software players such as Google, Amazon Web Services (AWS) and 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 |
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| DoiT International | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | Analytics and BI |
| DoiT International | Google BigQuery | Data Warehouse | Analytics and BI | |
| DoiT International | Google Cloud Dataflow | Application Hosting and Computing Services | IaaS | |
| DoiT International | Google Kubernetes Engine | Container Service | IaaS | |
| DoiT International | Google Cloud Composer | Extract, Transform, and Load (ETL) | PaaS | |
| DoiT International | Google Cloud Dataproc | Analytics and BI | Analytics and BI | |
| DoiT International | Google Cloud Endpoints | API Management | PaaS |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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Arabesque Asset Management | Banking and Financial Services | 230 | $60M | United Kingdom | Google Cloud Endpoints | API Management | 2019 |
In 2019 Arabesque Asset Management implemented Google Cloud Endpoints as the API Management layer for its investment analytics and model serving platform on Google Cloud. The initiative centralized API exposure for investment strategies and analytics used by client portals and data distribution services serving customers in the United Kingdom and globally.
Google Cloud Endpoints was configured to expose RESTful and streaming APIs that serve model outputs and analytics pipelines, supporting model-serving endpoints and analytics feeds. Configuration emphasized authentication, traffic management, monitoring, and observability to support high-throughput analytics workloads consistent with API Management capabilities. The deployment leveraged Google Cloud infrastructure for compute and streaming, providing API gateway functionality, request routing, and quota enforcement for production traffic.
DoiT International provided optimization support following deployment, with the migration to Google Cloud reported complete in early 2020. Operational coverage included investment research, quantitative modeling, and client-facing distribution teams, consolidating access to strategy signals and analytics through managed APIs. The case study reports outcomes including approximately 75 percent lower server costs and a tenfold increase in streaming and analysis capacity.
Governance focused on API versioning, access controls for client consumption, and SRE workflows to scale model-serving instances and streaming pipelines. Google Cloud Endpoints functions as the primary API Management control plane for Arabesque's analytics distribution and production model serving.
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Huq Industries | Professional Services | 3 | $1M | United Kingdom | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2020 |
In 2020, Huq Industries implemented Google Cloud Composer to orchestrate Extract, Transform, and Load (ETL) and data engineering pipelines that ingest and process geolocation datasets for location intelligence in the United Kingdom. The deployment addresses high volume ingestion and near real time processing requirements, handling approximately 1 billion geolocation records per day.
Google Cloud Composer orchestrates Dataflow jobs for streaming transforms and batch pipelines, and schedules DAGs that perform enrichment, deduplication, and geospatial aggregation before landing into BigQuery. Composer was configured with environment level operators, DAG versioning, and monitoring hooks to support pipeline reliability, retry policies, and iterative development.
DoiT International supported the migration and optimisation to Google Cloud, integrating Composer with BigQuery and Dataflow and tuning resource usage and pipeline concurrency to meet throughput targets. Operational coverage centers on Huq Industries' UK location intelligence function, spanning data engineering and analytics teams.
Governance was implemented through centralized orchestration, standardized DAG patterns, and alerting workflows to manage near real time pipelines and operational incidents. The migration and Composer orchestration enabled near real time processing of about 1 billion geolocation records per day and improved cost efficiency.
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Lightricks | Professional Services | 650 | $150M | Israel | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 |
In 2019, Lightricks implemented Amazon Redshift as its Data Warehouse on Amazon Web Services. The deployment was executed with support from DoiT International, positioning Amazon Redshift to centralize analytics workloads for usage, marketing, and financial reporting.
Engineering and analytics work focused on building ETL pipelines and extensive performance tuning, with Senior Data Analysts developing SQL and Python optimizations to enable complex dashboards and views. Amazon Redshift served as the core Data Warehouse, feeding Tableau reports and supporting query patterns that required specialized SQL and tool specific optimizations.
Operational integration included Tableau for visualization and a subsequent migration path to Google BigQuery realized through a custom Python program that converted Redshift queries and database specific identifiers. The environment incorporated dbt for refactoring and redesign of the data model, aligning transformation logic with analytics, marketing, and finance reporting needs.
Governance emphasized standardizing SQL patterns and formalizing dbt driven models to control schema and transformation logic, while custom optimization methods were documented because some reports could not execute without those interventions. DoiT International provided implementation guidance on AWS provisioning for Amazon Redshift, and the combined architecture centralized reporting workflows and ETL orchestration within the Data Warehouse layer.
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Professional Services | 650 | $150M | Israel | Google BigQuery | Data Warehouse | 2020 |
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Professional Services | 650 | $150M | Israel | Google Kubernetes Engine | Container Service | 2022 |
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Professional Services | 650 | $150M | Israel | Google Cloud Dataflow | Application Hosting and Computing Services | 2022 |
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Professional Services | 1016 | $1.0B | United States | Google Cloud Dataproc | Analytics and BI | 2017 |
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Buyer Intent: Companies Evaluating DoiT International Services
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