Data Lake on Cloud

Big Data and Cloud Coming Together

Managing the vast amounts of data companies are collecting (with volumes continuing to swell into the future) is a big challenge in terms of cost, resource management, and time to market. One of the ways companies are addressing this is by moving their Data Lakes to the cloud, taking advantage of not only cheaper storage, scalable resource management, and the ability to separate storage from compute, but also for the arsenal of cloud-native tools available.

When considering migrating Data Lakes to the cloud, it’s not just a simple “copy and paste” exercise. Companies must heed the lessons learned from their first generation lake struggles, and plan for cloud-based Data Lakes appropriately – with increased emphasis on security and data governance.

Next Pathway will work with you to apply those lessons, using proprietary methodology and accelerators, to get your Data Lake operationalized in the cloud with automation, governance and security serving as the guiding principles.

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Data Lake in the Cloud?

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Accelerators

To assist our clients, where necessary, we’ve developed a set of accelerators to aid in the Data Manufacturing Pipeline – providing smarter data ingestion and governance

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.

Data Curation Accelerator

FUSE is a framework to allow large enterprises to design, build and deploy large-scale data integration workflows inside of Big Data environments.

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