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Fivetran and Spaulding Ridge

Our Fivetran expertise is exactly what your modern data stack needs.

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Automated, full-managed, and ready to use

Automate Your Data Pipeline with Fivetran

Fivetran is a fully managed and scalable extract and load tool transforming the way businesses approach their Extraction-Load-Transform (ELT) process.

It is the fastest way to connect all your information sources to your data warehouse; with more than 170 connectors and its predefined schemas, you can configure your pipeline in a matter of minutes.

The tool provides a maintenance-free solution to reliable, high-volume data integration that scales. It also automatically adjusts to source changes and reliably centralizes data in to the destination of your choice.

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Hear From Our Modern Data Stack Clients

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Ávoris

Reinventing travel with Google BigQuery & Looker

Ávoris is a global tour operator headquartered in Spain. Spaulding Ridge implemented Google BigQuery and Looker to break down the SQL barrier for end-users and provide actionable insights.

Now, Ávoris is a data-driven company able to make faster, well-informed decisions.

READ MORE →

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Verse

Fintech from Metabase to Looker in 60 Days

Verse is a mobile app that allows you to make payments easily and instantly in various currencies with no hidden fees.

Spaulding Ridge implemented Google BigQuery and Looker to provide Verse with reliable, data-driven insights, new levels of analysis, and actionable data.

READ MORE→

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Paack

Delivering Value from Data with Looker

Paack is a rapidly expanding eCommerce delivery service currently operating in over 60+ cities across four countries.

Spaulding Ridge implemented Google BigQuery and Looker to create a centralized data repository and a more agile analytics and reporting system.

READ MORE→

What is a Modern Data Stack?

A “modern data stack,” or custom cloud infrastructure, is a collection of SaaS tools that create a user-friendly, efficient, and holistic experience for your teams, leaders, and entire business.

Featuring seven key components, the modern data stack’s goal is simple but highly rewarding: gather and unify data from any number of sources necessary into a single repository so that real-time, comprehensive data supports and drives better decision-making across an entire organization.

Data Sources
Data Sources

As you look to unlock the power of your data, first you need to identify where all of your different sources of information exist.

Integration
Data Integration

Automate the process to extract, load, and transform your data securely.

Database
Data Warehouse

The data warehouse is where all of your data comes together, your new Single Source of Truth.

Gear Process
Data Modeling

This takes the raw data from your Single Source of Truth and converts it to usable business intelligence logic.

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Business Intelligence

A collaborative platform that provides self-service analytics to end users, including for actionable insights, embedded analytics, and even advanced data products.

Transfer
Reverse ETL/ELT

Sometimes referred to as “data activation,” this function send transformed data back through the pipeline, allowing your departments to work in their native programs.

Agile
Data Observability

Mature data teams want to ensure Data Reliability and Trust within the organization by monitoring and tracking in near real-time the health and state of the data in the system.

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Fuel Your Business With Intelligent Data

To truly reap all of the benefits of a data-driven business, you need a modern data stack that can give you the high-level view you need and grow right alongside your business.

Choosing the right ELT is crucial to a modern data stack so your time can focus on insights, not on data gathering and transforming. Let our advisors help you choose the right modern data stack, including the right way to aggregate data from your sources.

The Modern Data Stack // Data Analytics

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