Next Pathway
INNOVATORS IN BIG DATA TECHNOLOGY
Big Data
Next Pathway’s Big Data technology empowers business decision making by automating the ingestion, standardization and enrichment of batch and real-time data, so that it can be accessed on-demand in a self-service manner.
Data Manufacturing Pipeline
Cornerstone® is a patented, fully automated, metadata-driven data platform that automates the ingestion, technical standardization, security, metadata capture and lineage of data into big data environments or the Cloud.
Self-Service Data Transformation for Business
FUSE revolutionizes the ability to transform data quickly for consumption by allowing Business users to define requirements in a familiar vocabulary.
Automated Translation Engine
ShiftTM automates the conversion and translation of legacy code when moving to Big Data environments or the Cloud.
Featured Solution
At Next Pathway, our EDW migration tools helps companies accelerate their migrations, and do so in a way to maintain governance of the data with minimal impact to routine business processes.
OUR PRODUCT
DESIGN PHILOSOPHY
Automation
At the heart of everything we do, our products are built to help your business get to market faster and cheaper.
Open Architecture
Flexibility is key. Our tools support an open architecture so you won’t be locked into one vendor.
Operational Controls
We know how important data is to your business. Our tools provide organizations with well governed solutions to adhere to industry standards and best practices.
Digital Transformation
Next Pathway’s products accelerate the development and deployment of microservices and APIs while ensuring adherence to governance standards, and reuse across the enterprise.
Microservices Factory
MercuryTM is the only fully automated tool for rapidly developing, testing and deploying microservices.
Unleash Legacy Core Systems
ArrayTM is an automated service delivery workflow for exposing, building, and deploying services with service life-cycle governance from core back-end systems.
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Establishing an Atomic Data Warehouse in a Cloud-based Data Lake
Many companies are considering moving on-prem data lakes to the cloud, given the huge investments the major cloud vendors are making in big data capabilities. Cost of ownership of data becomes more affordable, scalability is greatly enhanced, and security concerns are a thing of the past. However, a big hurdle remains; how can organizations effectively replicate their on-prem reporting and consumption requirements in a cloud-based data lake? Establishing an Atomic Data Warehouse (ADW) is a great solution. An ADW represents the enterprise-wide repository that keeps track of atomic data for analytical purposes.