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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Lightricks | Professional Services | 650 | $150M | Israel | Google BigQuery | Data Warehouse | 2020 |
In 2020, Lightricks implemented Google BigQuery as its Data Warehouse to centralize analytics workloads and provide a single source for queryable datasets. The rollout was supported by DoiT International and deployed on Google Cloud Platform, with Google BigQuery configured to serve enterprise SQL analytics and dataset management. Data analysts were primary users, authoring complex queries and surfacing answers for division level decision making.
The implementation covered schema design, ingestion pipelines, and analytic dataset modeling to support KPI tracking and ad hoc analysis. Google BigQuery was configured to host partitioned and optimized datasets for performant querying and scheduled analytical jobs. Analysts connected Tableau to Google BigQuery to design informative dashboards and to operationalize KPI reports across business units.
Operational coverage centered on analytics and business intelligence functions across Lightricks in Israel, supporting division discussions and the breakdown of major business issues into measurable KPIs. The deployment emphasized query governance, dataset naming conventions, and role based access controls using Google Cloud IAM to manage analyst and consumer permissions. Data analysts translated business needs into SQL artifacts and published dashboards to standardize reporting workflows.
Governance and process changes formalized KPI definitions, query review processes, and dashboard publishing standards to improve consistency of analytical outputs. DoiT International provided implementation guidance for cloud configuration and operational practices to stabilize the environment. Google BigQuery functions as the central Data Warehouse for Lightricks analytics and dashboarding.
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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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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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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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Banking and Financial Services | 230 | $60M | United Kingdom | Google Cloud Endpoints | API Management | 2019 |
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