Data in dozens of places? No problem.
To the utter relief of every data team in the world, Extract-Load-Transform (ELT) tools have taken the place of manual migration — for good reason. ELTs are efficient, cost effective, and, most importantly, reliable.
Rather than using multiple bridges to grab data from pipelines all across your company, ELTs like Fivetran function like an eight lane highway within your modern stack, speeding raw data to your warehouse, continuously synchronizing, and providing the freshest available data.
Leveraging an ETL increases the accuracy of your data, can accelerate cloud data analytics, and even programmatically manages ready-to-query schemas.
“Be A Bear is founded on the principle ‘if you’re going to Be A Bear, be a grizzly’ – meaning that we wanted to build our BABI data stack with best practice from the start. [Spaulding Ridge] came in with a lot of experience and could see the value in what we were building from day one, making everything much more effective and enjoyable. It felt less like working with a consultancy and more like a partnership.”
The world of data warehousing and cloud data analytics is changing. Companies are migrating legacy systems to the Cloud, aiming to become truly insight-driven and empower employees by granting them greater access to information. We specialize in a range of data warehousing and cloud data analytics services, offering end-to-end data solutions and everything in between.
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ELT vs ETL is New vs Old
Extract-Load-Transform (ELT) tools are the natural evolution from the previous popular option, Extract-Transform-Load (ETL) tools. Both are mediums to reach a Single Source of Truth, your Single Source of Truth, otherwise known as your Data Warehouse, but one is a superior option for a Modern Data Stack.
Extract-Load-Transform tools have a number of benefits over its predecessor, as well as over building your own, including time and effort to value, future growth, people (plus cost), and flexibility.
ELTs are the better option when it comes to both time and effort — off-the-shelf and pre-built options can be set up in a matter of minutes. ETLs and build-it-yourself options are more time-intensive, taking between 3 to 6 months to implement, not to mention the skills needed due to the inherent complexity of building a reliable, long-term data pipeline.
ELT tools and cloud-native data warehouses work hand-in-hand, providing unlimited scale for future growth. To scale using ETL tools, on-prem warehouses, and/or homegrown software requires ordering, installing, and configuring new hardware with any influx beyond capacity.
ELTs remove the background work. They fully automate the entire process post setup. Other “solutions,” particularly build-it-yourself options, require an average of 3 engineers to build and maintain, amounting to nearly 10x the cost of an ELT subscription.
Where do you want your data team’s time? Acting as faux data engineers finding, cleaning, and reorganizing data is usually not the answer, but it’s often what happens with homegrown data pipeline solutions. Using ELTs, your data scientists spend 100% of their time actually doing what benefits your company: data modeling to surface actionable insights.
By creating a data workflow that all leads to a data warehouse and is overlaid with a Business Intelligence (BI) tool, you’ve created a Modern Data Stack that can quickly and efficiently provide critical data for your business on demand.
Our worldwide team tests out and weaves together best-in-cloud technologies to provide superior service to our clients. One of our incredible lineups is Fivetran, Google BigQuery, and Looker, which help companies take control of their data, develop a single source of real-time truth, and leverage the best cloud data analytic insights.
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.
Google BigQuery is a multi-cloud data warehouse that’s designed for scalability and agility.
Democratizing data from across your entire company — versus keeping it in silos scattered among various departments — can increase the pace of innovation.
Fully managed and serverless, Google BigQuery can handle petabytes of data in minutes, enabling your teams to analyze larger and more complex data sets in mere minutes.
Looker’s collaborative modeling layer allows for centralized definitions of business logic as well as accelerated model development and deployment. Its direct connection to your database means that your organization can have access to real-time cloud data analytics.
Looker’s philosophy is to provide self-service analytics, empowering users to carry out their own analysis and create reports or visualizations independently. The Looker API also allows you to integrate the tool into your existing workflows and deliver data to where your business users need it most.
Unsure Where to Start? We Can Help.
Transforming the way you and your company view and use data can be the revolutionary step that takes your organization to the next level. Whether the goal is to find homeostasis through a hybrid cloud setup that leverages any combination of public cloud, private cloud, and on-premise or you’re looking to make a complete shift to a scalable modern platform, we can meet you where you’re at. We’ll consider your long-term goals and recommend the best roadmap to success.
Gather business users requirements, list all data sources, compare data tools, and design a data stack architecture to meet your data modernization goals.
This is where we’ll take our roadmap and implement the structure necessary to get the data from where it is versus where it needs to end up.
From raw data to actionable KPIs, merge and model your data sources in a centralized repository to get reliable metrics that support the specificities of your business.
Collaborating with your end-users, we’ll run tests to ensure that your data is ready to better support your business and empower employees to leverage their new technology.
“Unlike more traditional consulting partners, [Spaulding Ridge] showed a dynamic approach, adapting to our goals, schedules, and general inexperience. By the end of the PoC, we felt confident using Looker because we have learned so much along the way.”
Get the best of both by working with a team of experienced digital transformation service providers, skilled with both technical execution and creative problem-solving.
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Connect your enterprise systems to Best-in-Cloud technologies, utilize both near and offshore development, and use multiple ETL tools.
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