Global
India
AustraliaCore Features:
Data Engineering Capability ensures scalable & efficient data management capabilities.
By integrating, storing, and transforming data across formats, Inteliment ensures seamless access to actionable insights that drive smarter decisions and operational excellence.
The Essential Need of
Data Engineering in Today’s Economy
Data Overload
Managing the growth of data in various formats requires scalable solutions.
Regulatory Compliance
Adherence to industry standards is critical to avoid penalties.
Real-time Data Processing
Handling high-velocity, real-time data for immediate decision-making.
Data Integration
Connecting and consolidating multiple data sources for cohesive insights.
Navigating Data with
Unique Approach
Inteliment’s Data Engineering services follow a structured yet agile approach, ensuring data acquisition, integration, and storage are streamlined and tailored to client needs.
Data Acquisition
Collection from structured, unstructured, and industrial sources.
Data Integration
Cleaning and transforming diverse data formats for unified analysis.
Data Storage
Building data lakes, warehouses, and marts to support advanced analytics.
Data Visualization
Delivering data-driven insights through interactive dashboards and reports.
Best Practices Redefined!
Delivering Results with Time-Tested Practices in Data Management
Plan
Data Strategy
Technology Roadmap
Tool Evaluation
Use Case Definition
Capacity Planning
Align
Data Management
Architecture Blueprint
Platform Refinement
Metadata Handling
Data Governance
Run
Agile Data Delivery
Data Integration
Testing Services
Platform Services
Migration/Upgrade
Innovate
Data Provision
Information Delivery
System Engineering
Knowledge Control
Data Visualization
Technology
Inteliment adopts modern systems and cloud technologies to enhance data processing and storage capabilities, seamlessly connecting with major platforms for effective analytics.
Data Warehouse
Teradata
Vertica
Oracle Exadata
Cloud
Azure Data Factory
AWS S3
Redshift
Google Bigquery
Big Data Tools
Hadoop
Cloudera
Spark
Hortonworks
Elastic Search
ETL Tools
Informatica
Talend
Pentaho
SAS DI
Visualization
Tableau
Jaspersoft
SAP Hana
Navigating Data with
Statistics of Data Engineering
Percentage of organizations struggle with data integration issues.
0
%
Source: Forrester
Billion is spent annually on big data infrastructure
$
0
Source: IDC
Percentage of companies increased cloud migration for data management
0
%
Source: McKinsey
Percentage increase in operational efficiency with integrated data systems
0
%
Source: Deloitte