Eliminate Data Silos and
Generate Business Value from Data with Enterprise Data Lake
Eliminate Data Silos and Generate Business Value from Data with Enterprise Data Lake
Our Enterprise Data Lake solutions help create a highly reliable and scalable centralized repository of all structured and unstructured data across all your sources. Our data lakes support large volumes of data, accept data in its native format, integrate with varied data sources, and offer a 360-view of the data for cross-team functionality and analytics.
Our Services
Our team of data experts helps aggregate data from various sources in far less time and enables data users to harness the power of data through real-time analysis and data-driven decision-making. Our Enterprise Data Lake services allow organizations to capture and store data generated in its native format, and make it globally accessible through agile, secure, and scalable platforms.
Data Lake
AWS Lake
AzureData Lake as a Service
Our Data Lake as a Service allows organizations to embrace Big Data and addresses their niche information challenges. We use a multidisciplinary, and platform-agnostic approach to implementing data lakes through a range of technologies and platforms.
Through our Data Lake as a Service, organizations get the power to process Big Data over the high-capacity cloud. It allows businesses to achieve faster, data-driven, and more efficient outcomes in a cost-effective manner.
Our capabilities
Data
Ingestion 
Data ingestion strategy and pipeline implementation for storage and immediate use.
Data
Availability 
Making data always available and accessible for consumption across channels.
Capturing
Streaming Data 
Capturing data that is continuously generated through various sources inside and outside the organization.
Data Storage
Storing diverse data sets in native format across various sources.
Data
Curation 
Activly curating, updating and managing data from various soruces throughout data lifecycle.
Lakeshore
Analytics 
Extracting actionable points from processed data.
Data
Persistence 
Storing data over non-volatile storage to ensure stable and continous cross-platform access.
Search & Explore
Cataloging data with molecular serach and explore for easy, and contextual and granular search by users.
Data
Ingestion
Data ingestion stragegy and pipeline implementation for storage and immediate use.
Data
Availablity
Making data always available and accessible for consumption across channels.
Capturing
Streaming Data
Capturing data that is continuously generated through various sources inside and outside the organization.
Data Storage
Storing diverse data sets in native format across various sources.
Data
Curation
Activly curating, updating and managing data from various soruces throughout data lifecycle.
Lakeshore
Analytics
Extracting actionable points from processed data.
Data
Persistence
Storing data over non-volatile storage to ensure stable and continous cross-platform access.
Search & Explore
Cataloging data with molecular serach and explore for easy, and contextual and granular search by users.
AWS Lake Formation
CompuGain helps you build, secure, and manage your data lake in the AWS environment. Our services build on the capabilities of AWS Glue using Amazon S3, Relational DB Instance, Amazon Redshift, and NoSQL DB Instance to create your AWS Lake. Our AWS Lake services help create analytic insights through integration with analytical tools such as Amazon Athena, Amazon QuickSight, ELK, and, Amazon Kinesis.
CompuGain offers speedy deployment of AWS Data Lake, simplified security management, and self-servicing capabilities for data access and control. We facilitate seamless, customizable loading of data either in bulk or incrementally without the loss of data.
Our capabilities
Data Ingestion – AWS
Importing data seamlessly from existing DBMS/RDBMS and other sources.
Data
Transformation – AWS
Processing and moving data
reliably across sources.
Data Catalog – AWS 
Using AWS Glue data cataloging to carry out ETL tasks.
Data Storage – AWS
Storing unstructured data sets and making it available over Amazon S3.
Data Persistence – AWS
Facilitating the real-time movement of data while retaining the original format.
Data Ingestion – AWS
Importing data seamlessly from existing DBMS/RDBMS and other sources.
Data
Transformation – AWS
Processing and moving data
reliably across sources.
Data Catalog – AWS
Using AWS Glue data cataloging to carry out ETL tasks.
Data Storage – AWS
Storing unstructured data sets and making it available over Amazon S3.
Data Persistence – AWS
Facilitating the real-time movement of data while retaining the original format.
Azure Data Lake
With CompuGain, businesses can leverage insights from Microsoft Azure Data Lake to simplify Big Data. Our experts develop and facilitate data storage, transformation, and processing operations across languages and programs, using U-SQL, Hadoop, Apache Spark, Python, .NET, and R. Our Azure Data Lake integrates seamlessly with the entire Microsoft environment, from Office 365 to Skype.
Our fully-managed data lake development services offer enterprise-grade data processing and storage capabilities for parallel analytics, easy deployment and, optimization, and seamless integration with existing IT infrastructure.
Our capabilities
Data Ingestion – Azure
Automating data ingestion into Azure data lake.
Data Analytics – Azure 
Simlifying Big Data to run parallel data transformation and processing programs using Azure Data Lake Analytics.
Data
Transformation – Azure
Mapping data flows and visually representing data movement in Azure data factory.
Data Storage – Azure
Implementing a massively scalable Azure data lake for no-limit data storage.
Data Persistence – Azure
Using NServiceBus to ensure data persistence for permanent storage.
Data Ingestion – Azure
Automating data ingestion into Azure data lake.
Data Analytics – Azure
Simlifying Big Data to run parallel data transformation and processing programs using Azure Data Lake Analytics.
Data
Transformation – Azure
Mapping data flows and visually representing data movement in Azure data factory.
Data Storage – Azure
Implementing a massively scalable Azure data lake for no-limit data storage.
Data Persistence – Azure
Using NServiceBus to ensure data persistence for permanent storage.
Outcomes of our Enterprise Data Lake services
Increased agility and scalability.
Higher operational efficiency due to improved data integration, analytics, and visualization.
Effective management of data with data lake as a service.
Data-driven insights for expeditious decision-making and customer-centricity that increase revenue growth.
Real-time capturing and storage of data with easy and controlled access.
Highly reliable and scalable single repository of all structured and unstructured data.
Enhanced customer interactions with increased customer loyalty.
Highly reliable and scalable single repository of all structured and unstructured data.
Increased agility and scalability.
Higher operational efficiency due to improved data integration, analytics, and visualization.
Effective management of data with data lake as a service.
Reduction in data errors and security risks.
Real-time capturing and storage of data with easy and controlled access.
Highly reliable and scalable single repository of all structured and unstructured data
Enhanced customer interactions with increased customer loyalty.
Enhanced customer interactions with increased customer loyalty.
Highly reliable and scalable single repository of all structured and unstructured data.
Enterprise data lake Case Study
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