Deliver tangible value from every single piece of data you hold

Data is the lifeblood of a modern enterprise. Kellton, as a leading data lake development company, provides essential building blocks to help customers implement a secure, scalable, and cost-effective data lake. Armed with intensive practices and proven methodologies, we aid in aggregating, organizing, and analyzing data in a centralized repository and creating continuous value streams for frictionless, future-focused outcomes.

Our data lake solutions facilitate the storage of all kinds of schema and metadata definitions. By banding data governance and data log capabilities together, we help break metadata into digestible information chunks, improving its usability and value in the long term.

150 +

Data Lake developers in-house

100 +

Data Lake projects delivered

10 +

Years of experience in Data Lake

Our Data Lake Services

Kellton brings a decade’s worth of experience in enterprise data lake services, enabling solutions that spark maximum performance, resilience, and growth in the years to come.

Our data lake solutions are built on a robust technical and delivery ecosystem. We leverage highly available, cost-effective data lake architectures—fueled by the booming potential of IoT, AI, and the cloud—to empower our customers with solutions that make searching, requesting, and managing datasets easier.

Data Lake Strategy & Consulting

Our consultants understand your end objectives, visualize how a data lake will interact with your existing IT, and deliver a blueprint that explains our ingestion, curation, and governance practices in detail.

Data Lake Development

We build data lakes by mobilizing the right and flexible blend of talent and technology. Our solutions help you organize a multitude of data types, enabling you to drive smarter, better decisions and pivot your business to success.

Data Lake Migration

Our data lake consulting services transition data to your new enterprise data lake environment, optimizing performance whilst minimizing disruption and maintaining data integrity.

Data Lake Maintenance and Support

We relentlessly fine-tune the performance and fix issues in your data lake architecture for sustainable value. We keep the data lake setup up and running through our data lake solutions support and ensure the performance stays within predefined thresholds.

Data Lake Optimization and Monitoring

We go beyond the aspects of building and deploying to optimize the operational performance of a data lake, ensure it meets service-level agreements, and deliver anticipated results, even in the climate of business change, while saving costs.

Why Choose Kellton for Data Lake Services?
Kellton, as a leading provider of data lake services, implements secure, streamlined, and serviceable data streams within their enterprises. We help customers strengthen their core business intelligence with our end-to-end data lake consulting services and data lake development services.
Our data lake development solutions are rooted in agile. We focus on helping CTOs capture every form of data, transform it into a key strategic asset, and unlock powerful insights with one overarching aim: more rapid, reactive decision-making.

Advanced analytics

With our enterprise data lake consulting services, we activate your siloed data and empower your business core with real-time, actionable intelligence that acts as an agent of change.

Robust Data Lake Architectures

Our data lakes are modular in architecture and robust by performance. Implementing one will ensure you transform complex data into competitive value and drive measurable results.

Trust and Reliability

We put data security at the forefront of everything we do. We design and implement a data lake setup while putting a protective ring around your data - backed by rock-solid encryption.

Rapid Time-to-Value

We double down on the use of value-driven, rapid methodologies. Followed by core industry expertise, we create data lake development solutions that set the stage for growth.

Data Integration and Centralization

With our experience-led, insight-backed data lake consulting, we build centralized repositories that unify data from multiple siloed, non-siloed functions for seamless analysis

Data privacy and security

Our data security approach banks on stronger encryption and compliance practices, ensuring you put your data into action without compromising its integrity.

Frequently Asked Questions (FAQs)

What is a Data Lake?

Data lake acts as a massive, full-scalable repository, containing troves of structured, unstructured, and semi-structured data. Since data is stored as-is, there is no need to convert it into a predefined schema. Data lake can be a breakthrough addition to your IT estate. As it can handle heterogeneous types of data - while enabling processing and analysis at scale - organizations find it easier to tap into the right information, gain visibility across value chains, and drive tangible outcomes in a timely manner.

What is a Data Lake vs. a Data Warehouse?

Data lake and data warehouse may look identical but are very different. A data lake stores multiple forms of data, enabling decision-makers to run analysis and derive turnkey insights. A data warehouse, on the other hand, sits as a repository of structured, processed data optimized for different use cases.

Which type of data is stored in a Data Lake?

A data lake setup is built to store all forms of data - structured, semi-structured, and unstructured. Enterprise data lakes allow enterprises to analyze vast amounts of information sitting in silos and capture insights that fuel efficiency and growth.

What is a Data Lakehouse?

A datahouse brings all the advantages of a data lake and a data warehouse. It helps store, curate, process, manage, and share data formats in a centralized ecosystem. Result? Enterprises gain visibility into value chains, drive actionable decisions, and kill siloes to ensure better, more meaningful collaboration.

How does the data mesh relate to the Data Lakehouse?

A data mesh disperse data for individual analysis by domain teams. When a data lakehouse enters the picture, a unified storage and analysis of this data gets unlocked, working as the key to driving competitive decisions through data

Does the Data Lakehouse have to be centralized, or can it be decentralized into a Data Mesh?

The Data Lakehouse architecture can be implemented in both centralized and decentralized ways, depending on the organization's needs and requirements. In a centralized approach, the Data Lakehouse acts as a unified data repository and processing layer, consolidating data from various sources and providing centralized Data Management and Governance. This centralized approach offers benefits such as data consistency, standardization, and easier management.

Data Lake Solutions