Why Data Engineering?
data ENGINEERING
- Nirvana Lab believes that data is the lifeblood of every organization, yet many companies do not fully exploit their data for maximum benefit. If you don’t have the ability to gather and manage many types of data – whether it is structured, semi-structured, or unstructured – and the ability to analyze the data by the right people at the right time, then you are missing a massive business opportunity. Real-time access to dashboards, reports, and data visualizations can help your line of business workers, customer service staff, middle management, and executives better understand what is happening in the company and with customers, and enable them all to make better and faster decisions.
Big Data Platform
- Nirvana Lab can help you achieve these types of data-enabled benefits through our vision and expertise in Data Engineering, Analytics and BI. Our data engineering solutions are flexible, robust, and custom to your goals and environment. We can implement whatever system that best meets your needs, from powerful high-end analytical warehouses to data lakes to big data platform processing to cloud-based data management for speed and efficiency. Interested in more specific information? Please contact us for a complimentary discussion about your data engineering needs”
Data Management Solutions
Nirvana Lab has expertise and experience in building integrated data management solutions using various patterns such as Data Lake, Delta Lake, Data Warehouses, Data Virtualization, etc. depending on our clients’ needs. We analyze the requirements and recommend solutions based on multiple factors (data availability needs, data security, data consumption patterns, performance expectations, data quality needs, etc.)
Data Lakes
Nirvana Lab can help you design and implement a data lake that stores raw data for quick consumption for analytics and serves as a source for downstream data processing. The data in its raw form can be used for operational analytics, and machine learning workloads. Depending on the business need, we can build different layers (“raw” layer and more trustworthy “curated” layer).
Data Virtualization
Our data experts look at the possibility of building a sustainable Data Virtualization solution to support a variety of use cases by evaluating the data sources, their location, the data volumes, time-to-market needs, and other factors to trade-off between. Nirvana Lab can also assist you with the evaluation of your current data virtualization platform and provide recommendations on improving its performance.
Data Warehousing
With decades of experience in traditional data warehousing, Nirvana Lab can help you with data warehouse assessments, roadmapping, implementation of domain-specific reference data model, ETL architecture and implementation, data warehouse platform migrations, and much more. Count on us to provide simple and meta-driven data pipeline solutions that scale and sustain change.