A comprehensive end-to-end Data Lakehouse platform that unifies data ingestion, storage, transformation, visualization, access control, and quality assurance, thereby eliminating
the need for fragmented tools or expensive licensed solutions.
FastLake streamlines your cloud data foundation with intelligent automation – enabling full deployment in under an hour. Every dataset is governed as an enterprise asset with full metadata, lineage, and quality controls, guaranteeing full visibility, compliance, and trust.
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Fastlake has a unified workspace that combines centralized operations and a web-based IDE. Write, transform, and debug using SQL and PySpark with AI-powered assistance, syntax highlighting, and auto-completion – no deep coding expertise required.
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FastLake runs on Azure and Kubernetes using autoscaling serverless services for efficient resource use. Apache Airflow is fully integrated for automated workflow orchestration, ensuring scalable and resilient data pipeline execution.
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FastLake incorporates intelligent tools for code generation and data handling, including Vanna AI and OpenAI integrations. Users can interact with data using natural language queries and streamline transformations with AI support.
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FastLake isn’t just efficient - it’s also a powerful tool for cloud cost control. By leveraging serverless, autoscaling Azure services and license-free open-source tools, it delivers enterprise-grade performance while giving you full visibility and control over resource usage. That means you can scale with confidence and precision.
FastLake eliminates decision-making delays, reduces operational risk, and guarantees real-time visibility across your business by automating data refresh cycles through a proprietary orchestration engine – ensuring your information is always accurate and up to date, with no manual work required.
FastLake empowers data analysts to do more without relying on DevOps or data engineers. This translates into faster implementation cycles, reduced staffing costs, and quicker ROI on data projects.
FastLake manages the entire data lifecycle within a single, unified platform. This all-in-one approach eliminates the need for multiple disconnected tools or costly licensed solutions.
FastLake enables the deployment of a Lakehouse within the client’s cloud environment using the following technologies:
Azure Synapse: A platform for big data processing and analytics.
Spark: Distributed large-scale data processing engine for analytics and transformation.
Blob Storage: Scalable cloud storage for client data.
PostgreSQL: A database for storing structured data.
Azure Kubernetes Service (AKS): Container management and orchestration service for application deployment.
Superset: A platform for data visualization and dashboard creation.
Airflow: Workflow orchestration platform for task automation and data processing management.
Vanna AI: Integration with an external AI service for intuitive data analysis via natural language queries.
OpenAI: Used to automate code generation and data transformation via API.
FastLake isn’t just efficient - it’s also a powerful tool for cloud cost control. By leveraging serverless, autoscaling Azure services and license-free open-source tools, it delivers enterprise-grade performance while giving you full visibility and control over resource usage. That means you can scale with confidence and precision.
FastLake eliminates decision-making delays, reduces operational risk, and guarantees real-time visibility across your business by automating data refresh cycles through a proprietary orchestration engine – ensuring your information is always accurate and up to date, with no manual work required.
FastLake empowers data analysts to do more without relying on DevOps or cloud specialists. This translates into faster implementation cycles, reduced staffing costs, and quicker ROI on data projects.
FastLake manages the entire data lifecycle within a single, unified platform. This all-in-one approach eliminates the need for multiple disconnected tools or costly licensed solutions.
FastLake enables the deployment of a Lakehouse within the client’s cloud environment using the following technologies:
Azure Synapse: A platform for big data processing and analytics.
Spark: Distributed large-scale data processing engine for analytics and transformation.
Blob Storage: Scalable cloud storage for client data.
PostgreSQL: A database for storing structured data.
Azure Kubernetes Service (AKS): Container management and orchestration service for application deployment.
Superset: A platform for data visualization and dashboard creation.
Airflow: Workflow orchestration platform for task automation and data processing management.
Vanna AI: Integration with an external AI service for intuitive data analysis via natural language queries.
OpenAI: Used to automate code generation and data transformation via API.
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Data Lakehouse Platform for Modern Enterprises
IBA Group is an IT services expert that has been one of the key service providers for IBM for 28 years. IBA Group — your trusted partner in building sustainable, automated, scalable, and secure data ecosystems.
With over 30 years of experience, a global presence across 15 countries, and more than 2,000 completed projects for clients in 50+ countries, we support our partners in navigating digital transformation and creating future-proof data architectures.
Learn moreData and application migration to cloud environments
Building modern data lakes and warehouses
Design of analytical solutions on BI Platforms
Implementing advanced analytics services
Company:
IBA Group a. s.
Address:
2583/13 Petrzilkova St., Prague 5, 158 00, Czech Republic
Emails:
info@fastlake.io, sales@fastlake.io
