Lakehouse, The New Essential
Digital-first businesses demand live analytics, AI-readiness, and a unified data view across their functioning units. But outdated legacy systems often slow down innovation, with disjointed data architectures, high maintenance costs, and data latency issues.
Ankush Sharma, Co-founder & CEO of DataToBiz, explains: “Enterprises don’t need more dashboards; they need trusted data foundations that are ready for automation, analytics, and scale. That’s exactly what’s present in the Lakehouse model.”
Rethinking Enterprise Architecture: DataToBiz’s Lakehouse Model
With years of experience in enterprise data modernization and successful deployments across high-growth sectors like digital commerce, FMCG, real estate, manufacturing, and more, DataToBiz’s Lakehouse blueprint addresses the full spectrum of data engineering and transformation, right from infrastructure assessment to unified analytics enablement.
Parindsheel Dhillon, Co-founder & COO of DataToBiz, shares:
- The process begins with a discovery session to understand the client’s data estate, pain points, and business priorities. From there, the team shapes a lakehouse strategy that balances agility, control, and timely access.
- The process later includes a detailed architecture assessment, identification of divided data systems, and a consolidation roadmap that replaces legacy silos with a unified, cloud-native foundation. Key milestones include data lake streamlining, event-driven pipeline planning, and performance benchmarking to ensure scalability across stakeholders, functioning departments, and tools.
- At its core, the Lakehouse model, designed by engineers at DataToBiz, offers a modular structure that supports live data ingestion, low-latency analytics, and smooth AI/ML integration. It enables cross-functional teams, from business analysts to data scientists, to work from a single source of truth, without redundant storage or conflicting versions.
- One key consideration added today is preparing these Lakehouses for AI advancements, particularly for integration with large language models (LLMs). This process usually comes custom after discussing the client's needs and scale. It involves building in flexibility for vector data storage, embedding pipelines, and retrieval-augmented generation (RAG) capabilities, ensuring that the data infrastructure serves today’s needs with tomorrow’s potential.
This isn’t just a conceptual upgrade; it’s a full-stack execution blueprint, with pipeline specs, platform integrations, cost models, and deployment governance, all crafted from scratch for enterprise environments (ranging from MSMEs, mid-sized firms, to Fortune 500 clients).
DataToBiz’s Contribution in Data & AI
What makes this “Lakehouse architecture” stand out isn’t just its architectural clarity from scratch; it’s the enterprise trust and proven scale that backs it. With collaborations across 10+ Fortune 500 clients in 20 countries, DataToBiz has installed modern data foundations that are intelligent, resilient, and future-ready. ISO certification and AICPA recognition further validate the company’s adherence to global data privacy and reporting standards.
Their position as a ‘Challenger’ in AIM Research’s 2024 PeMa Quadrant for Global Capability Center Service Providers reflects leadership in delivering sustainable, tech-forward GCC models. An official endorsement from the Ministry of Electronics and Information Technology (MeitY) further strengthens their position as a trusted partner in national and global digital transformation efforts.
With a strong data intelligence team of 80+ professionals and four global sales offices, DataToBiz continues to cover the gap between ambition and architecture with every custom Lakehouse they create for enterprise clients.
The Road Ahead
With data volumes expected to grow
The future of digital transformation isn’t about collecting more data; it’s about architecting it better. And DataToBiz is doing just that, with their enterprise-grade Lakehouse solutions.
Media Contact
Company Name: DataToBiz Pvt Ltd
Contact Person: Ankush Sharma
Email: Send Email
Phone: +1 628 2511377
Country: India
Website: https://www.datatobiz.com/
