Data Lake

Agile Development AIOps Analytics Platform API Integration API Management Application Modernization Artificial Intelligence Augmented Reality
Banking as a Platform Banking as a Service Big Data Business Analytics
Claim Automation Claims Management Clinical Research Clinical Software Cloud Advisory Cloud Deployment Cloud Infrastructure Cloud Migration Cloud Native Development Cloud Security Cloud Strategy Cloud-native Security Core Banking Corporate Banking Customer Data Platform (CDP) Customer Experience Customer Experience Journey Customer Experience Strategy Customer Intelligence CX Strategy Cyber Resilience Cybersecurity
Data Analytics Data Center Modernization Data Integration Data Lake Data Security Data Transformation Denial Management DevSecOps Digital Banking Digital Commerce Digital Engineering Digital Experience Platform Digital Front Door Digital Health Platform Digital Insurance Digital Lab Digital Mosaic Digital Payments Digital Platform Digital Transformation Digital Wealth Management
Edge Computing Enterprise Integration Enterprise Security Experience Transformation
Healthcare Payor Healthcare Technology
Identity Access Management Intelligent Automation
Legacy Application Modernization Life Sciences Technology Loan Origination
Machine Learning Medical Devices Microservices Mobile Edge Cloud Monetizing 5G
Network API Network Assurance Network Performance Network Transformation No-code/ Low code Application Development
Process Mining and Process Excellence Product Engineering Product Sustenance Public Cloud
Ransomware Retail Banking
Software Application Development Software Development Software Engineering Software Modernization Software Product Development Software Product Modernization

What is Data Lake?

A data lake is a central data repository that contains large volumes of native organized, semi-structured, and unstructured data. In organizations, this data is utilized for further processing such as visualization, sophisticated analytics, and machine learning. In a data lake, data is often ingested extremely quickly and processed later as needed by consumers.

The focus of a data lake is on flexible format storage for future use, with no constraints on file formats or set storage. The data lake architecture is flat and incorporates metadata tags and IDs for quicker data retrieval in a data lake.

By processing massive amounts of data, data lakes improve company scalability.

What are the business benefits of Data Lake?

  • Data lake enhances scalability in business by handling an enormous amount of data.

  • Data lakes improve the decision-making capability of structured and unstructured data.

  • Data lakes maximize rapid data ingestion by utilizing enormous amounts of unstructured data.

Related Content

Contact us

    You can also email us directly at

    You can also email us directly at