Glossary

Data Lake

A
Agile Development AIOps Analytics Platform API Integration API Management Application Modernization Artificial Intelligence Augmented Reality
B
Banking as a Platform Banking as a Service Big Data Business Analytics
C
Claims Automation Solutions Claims Management Solutions Clinical Research Solutions Clinical Software Solutions Cloud Advisory Services Cloud Deployment Cloud Infrastructure Cloud Migration Cloud Native Development Cloud Security Cloud Strategy Cloud-native Security Core Banking Solution Customer Experience Customer Experience Journey Customer Experience Strategy Customer Intelligence CX Strategy Cyber Resilience Cybersecurity
D
Data Analytics Data Center Modernization Data Cloud Data Integration Data Lake Data Security Data Transformation Denial Management Systems DevSecOps Digital Banking Solutions Digital Commerce Digital Corporate Banking Digital Engineering Digital Experience Platform (DXP) Digital Front Door Digital Health Platform Digital Insurance Solutions Digital Lab Digital Loan Origination Digital Mosaic Digital Payment Services Digital Platform Digital Transformation Digital Wealth Management Solutions
E
Edge Computing Enterprise Integration Enterprise Security Experience Transformation
G
Generative AI
H
Healthcare Payer Healthcare Technology Hyperautomation
I
Identity Access Management Intelligent Automation
L
Legacy Application Modernization Life Sciences Technology Solutions
M
Machine Learning Medical Device Technology Solutions Microservices Mobile Edge Cloud Monetizing 5G
N
Network API Network Assurance Network Performance Network Transformation No-code/ Low code Application Development
P
Process Mining and Process Excellence Product Engineering Product Sustenance Public Cloud
R
Ransomware Retail Banking Solutions
S
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

(*) Asterisk denotes mandatory fields

    You can also email us directly at info@persistent.com

    You can also email us directly at info@persistent.com