Data Engineering
Design and build data
repositories aggregating data from across your systems to support 360-degree analysis.
Aggregated Fresh Data
Incorporate data from across systems and businesses into a single store ... ready for analysis.
Enforce Compliance
Avoid legal hassles with built-in support for internal and external compliance requirements including GDPR and CCPA/HIPPA/PCI.
Common Vocabulary
Establish a standardized dictionary of data fields to enable data integrity and common vocabulary across business stakeholders.
There are a multitude of approaches for building solutions that integrate data from different sources and support fresh business insights. Ensuring a solid foundation and supporting structure for data intelligence enables true data activation, revealing previously obscured insights.
Leverage expert advice to select the right cloud or on-premises architecture incorporating ETL pipelines, data-warehouse/data-mart/data-lake, BI tools, and ongoing governance processes.
Building robust data pipelines to continuously stream in clean and standardized data from different sources is a must to support on-demand business intelligence.
Engage experienced data engineers with a wealth of experience building pipelines for cloud or on-prem based deployments.
Rapidly consolidating data in a single place enables quicker analytics and data insights from copious amounts and varied types of data (relational, logs, JSONs) with thoughtfully designed data lakes, warehouses, or data marts. Realize a lower cost of data capture and storage with a single source of truth for standardized data to support essential business reporting and analysis.
Investing in a Modern Data Lakehouse isn't just a technological upgrade – it's a strategic move to future-proof your business. Say goodbye to data silos, scalability concerns, and slow decision-making. Embrace the future of data management and position your business for success.
Use Cases 
Data Deduplication
Standardize, compare and remove or merge duplicate data records for efficient marketing and data analytics.
Automated Pipelines
Fetch data through push or pull mechanisms using APIs or file-transfers. Design and manage data updates through automated triggers.
Data Transformations
Transform data to conform to standardized dictionary … meeting the needs for common vocabulary and compliance.
Data Lakes
Deploy a data lake to house all data … transforming and aggregating them as necessary from your BI system.
Data Marts
Create data marts to provide specific views of the business, complete with predefined and computed performance metrics.
KPIs & Alerts
Define, compute and store performance metrics that are key to monitoring the health of your business.
Cloud Deployment
Utilize the latest in cloud technologies to support fast and scalable data aggregation with a minimal of code build-out.
Case Studies
Transforming Data Management with Databricks for a Health & Fitness Club
Utilizing Azure Data Lake Storage Gen2, Databricks Lakehouse provided a key solution for cost-effective and scalable storage, addressing challenges related to data accessibility and volume. The unified analytics platform accommodated structured and semistructured/unstructured data, serving as a single platform for analytics, business intelligence, and machine learning on top of Delta Lake.
ETL Testing Automation Solution to Revolutionize Data Validation & Integration
The client wanted to validate that source data is imported into the application and defined business rules are applied on source data before it’s put in destination database.
Data Deduplication for a Health & Fitness Club for Accurate & Reliable Business Insights
Data Deduplication provides better and more reliable insights into business for strategic decision-making.
Featured Insights
Blog
Optimizing Business Data Management with Delta Lake Integration
This is where integrating delta lake, an open-source storage layer on top of Apache Spark can solve the problem. This blog explores the role of delta lake integration in unifying data ecosystems and streamlining data management processes to drive business success.
Blog
Data Engineering – Unleash the True Potential of Your Data
For businesses worldwide, data has become more crucial than ever. Companies are relying on it to gain useful insights into their business and achieve maximum operational efficiency. Whether you’re looking to improve the quality of your products or services, optimize resource utilization, boost marketing efforts, or avoid costly mistakes, data can help.
Blog
From Data Lake to Data Mesh – The Paradigm Twist
In the age of self-service business intelligence, nearly every company is at some stage of transitioning to becoming a data-first company. To make the transition a successful one, companies need to undertake this journey with a level of sophistication that involves strategic thinking and purposeful execution.