Cloud Laker é uma plataforma de automação de dados low code/no code que reduz em até 70% o tempo de criação do seu Data Lake na nuvem AWS.
Sem necessidade de utilizar códigos, automatiza Data Lakes, pipelines, e governança de dados, simplificando a complexidade técnica.
Data Lake é a base moderna para centralizar e armazenar todos os dados da sua empresa, estruturados ou não, em um único repositório na nuvem.
Dessa forma, as informações ficam acessíveis para análises avançadas e uso de Artificial Intelligence para acelerar a tomada de decisões.
Executado 100% dentro da sua conta AWS, sua empresa ganha uma infraestrutura de dados ágil e escalável, pronta para Artificial Intelligence, BI, and Machine Learning..
From consumption to visualization, connect multiple sources with just a few clicks. Ingestion is automated, with native governance and full flexibility to adapt to your environment.
Foco no negócio, sem se preocupar com integrações manuais
Pipelines, ingestão, ETL e governança já vêm prontos e orquestrados, sem necessidade de ajustes manuais.
Cresce conforme a demanda, sem desperdício e pagando só pelo uso.
With Cloud Laker, Elos, one of the largest private pension companies, reduced time on 70% deployment time on Data Lake in AWS eliminated rework, and accelerated the delivery of a trusted foundation for AI and real-time analytics. IA e análises em tempo real.
“We needed a scalable and centralized system to eliminate data silos and information noise.
With Cloud Laker, we quickly connected to our AWS account, consumed our ERP APIs, and automated several processes.
A process that would normally take days to complete now takes literally minutes with Cloud Laker.”
Thiago Andrade
Data management specialist
Companies that handle large volumes of data face a recurring problem: rework, manual processes, and slow deliveries. This wastes time, drives up operational costs, and delays strategic decisions.
Data automation centralizes, standardizes, and delivers analysis-ready data intelligently and without manual intervention.
That’s exactly what Cloud Laker delivers: end-to-end data automation with multi-source integration, standardization, and Data Lake management with governance, scalability, and high performance.
Prevents manual rework and inconsistent data;
Accelerates time-to-insight, enabling faster analysis and data-driven decisions;
Increases the ROI of AI and Machine Learning, initiatives by delivering well-governed, high-quality data.
Com Cloud Laker, sua empresa mantém total controle, segurança e conformidade, sem transferir dados para ambientes externos.
Reduza riscos, elimine burocracias e garanta compliance desde a origem
Garanta o melhor ROI para seu orçamento de dados. Sem desperdícios e com total previsibilidade no seu ambiente de dados
Cloud Laker automatiza pipelines de dados na AWS, reduzindo retrabalho manual e garantindo alta performance para decisões estratégicas.
Dados prontos para análises em tempo real, relatórios avançados e Artificial Intelligence
Manual data consolidation leads to rework, delayed decisions, and recurring errors due to a lack of consistency. Additionally, it creates excessive dependency on the IT team for operational tasks, diverting focus from more strategic initiatives. The result is a slow, non-scalable operation that's vulnerable to analysis failures.
When each department works with a different version of the truth, it leads to information conflicts, delivery delays, and decisions that are misaligned with the company's strategy.
Data fragmentation also limits business-wide visibility, making projections, analysis, and even customer and partner service more difficult.
Cloud Laker eliminates these silos by integrating multiple data sources—legacy systems, SaaS, spreadsheets, and databases—into a single, centralized, and governed environment.
With it, the company operates with a single source of truth, reducing noise between departments, improving operational efficiency, and accelerating decision-making with reliable, up-to-date data.
Cloud Laker automates critical stages such as data ingestion, unification, and governance. This enables teams to access clean, up-to-date information in real time, eliminating silos and rework. The result is more reliable analytics, faster decisions, and a data-driven operation.
Cloud Laker comes with ready-to-use connectors for various sources (ERPs, CRMs, databases, APIs), automated pipelines, version control, data validation, and built-in governance. All of this cuts weeks of setup time down to just a few days of fully functional operation.
Cloud Laker follows AWS security best practices from provisioning onward: encryption, granular access via IAM, audit trails, and continuous monitoring. In addition, it includes automated governance layers that manage versioning, data quality, and compliance with both internal and external policies.
Data projects require expertise in architecture, security, scalability, and integration. A partner like ST IT Cloud shortens the learning curve, anticipates risks, and delivers a fully functional solution in record time — while your team focuses on what really matters: generating value from data.
The main mistakes include: starting without governance, failing to standardize ingestion, relying on manual scripts, and ignoring scalability.
Cloud Laker solves these issues with a ready-to-use structure, governance from day one, and end-to-end automation. You don’t need to reinvent anything — just connect and start.
When data is centralized, clean, and ready for analysis, your company stops reacting late and starts anticipating changes. Cloud Laker turns data into a living, reliable asset that powers real-time analytics, predictive models, and strategic decisions with speed and confidence.
Automating the data pipeline is essential for scaling BI and AI projects because it removes manual bottlenecks, ensures consistency in delivery, and speeds up access to analysis-ready data.
This allows teams to focus on generating value and insights instead of maintaining operational routines.
With automation, the company reduces risks, improves governance, and builds a data infrastructure that is scalable, secure, and ready for advanced applications.
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