Equip your Enterprise Data Warehouse to tackle the growing demands of big data. Build a central data repository that unifies heterogeneous sources, maintains data quality, and gives you access to the information you need – when you need it.
TECHNOLOGIES / FRAMEWORKS
Azure SQL DW
WHAT WE DO IN DATA SCIENCE
Defining strategy and identifying Business Use case and creating roadmaps
Big Data Architecture definition
Defining ETL / ELT Offload Architecture / Orchestration techniques and consulting on same
Hadoop Cluster Management and monitoring
Datastore, Governance & Security Management
Building real time data pipeline and real time data analytics
Fully managed server-less insights using cloud services
Machine Learning and Data mining
Data Visualization Solutions
Data Assessment and Technology Identification
Prototyping and tool evaluation
Data migration and Data Integration
Data cleaning, Data Archiving and Batch Data processing
Integration with existing Enterprise Data Warehouse and Data Sources
Real time data predictions
Inferential Statistical Analysis
Predictive and Prescriptive Analytics
Decision Making by leveraging BI Tools
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