trusted data

Gone are the days of battling “big data”. We welcome it with open arms. The cloud allows us to store near-infinite amounts of data like text, video and scanned documents. Newcomp’s data engineering team builds the fabric to manage every type and size of modern data in an elastic, affordable way.

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What we do

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Build ingestion mechanisms to stream or copy data from any data source in real-time or on a schedule.

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Orchestrate data movement (ELT/ETL) by coordinating data dependencies, relationships and transformations for delivery into data storage.

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Data lake

Organize raw data into meaningful zones for retention and governance before it is transformed for business analytics.

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Data warehousing

Optimize data for fast analytical workloads and data science by using dynamic computing and storage design.

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Data governance

Design rules to ensure quality and security standards while cataloguing data to make it easy to find, trust and govern.

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Data Virtualization

Access data where it resides through a virtual layer in real-time, without replicating or moving the data.

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Problems We Solve

Data silos

We unite and align data from enterprise applications, external parties, flat files and legacy systems to discover never-before-seen relationships, patterns and insights.

Single version of the truth

Eliminate time wasted arguing over timing, source and versions of data used for decision-making by building a transparent hub for information.

Source system dependency

Upgrades, migrations, performance risks – reporting and analysis directly on source data is full of risk, so we bring that data into an engine built for performance and stability.

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Our Team: Who We Bring

Analytics architects

Modern data needs a strong architecture to support massive amounts of data and computing power. Newcomp architects know how to start small, and build for the future – from basic data acquisition to the most advanced neural networks.

Data engineers

Data lives everywhere now, and our engineers are trained to capture it. They build pipelines to ingest third party, web, unstructured and machine data, then store, refine, organize and deliver it to consumers.

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Your Team: Who We Work With

Department leaders

These teams feel the pain of limited insight or access to data. As our champions, they define the target, and help us validate results along the way.

Data integration teams

These groups have many names – Centres of Excellence, data provisioning, data warehousing, etc. Our goal is not to work around these existing pipelines, but to help modernize and remove bottlenecks that are preventing data from flowing smoothly.


Want to see Data Engineering in action?

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