We’ve had quite a few Data revolutions over the past 25 years, each promising a better tomorrow but due to technology limitations only solving a part of the issues. Now, before Mission AI, we should review our equipment once again, bring the best gadgets and the trusty car. We are not going to explore dark ages of on-premises Data Warehouses and just focus on the last 25 years to see how each major revolution fixed some of the issues while creating different ones in the process.

Big Data Never Dies – 2000 – 2010

Data is growing worldwide at a velocity that is just plain ridiculous at this moment. Since the “classic” database engines could not keep up, we needed something better, bigger and faster. This is the time of solutions like Teradata (who actually started coining the term “Big Data”), Netezza. Massive Parallel Processing was introduced to handle growing volumes, Business Intelligence Tools grew in significance.

But some issues remained – costs of these solutions were significant, you still needed a lot of compute power (most of the time hosted in a Data Center). When you wanted to scale up it was back to the basics of enhancing the physical infrastructure.

From Cloud with Love – 2010 – 2020

The physical infrastructure was the challenge Data Warehouse vendors were going for next. Major cloud providers like AWS, Azure and GCP started to emerge and start making promises of endless scalability. You could stop worrying if that old rack can hold any more power. The pay-as-you-go model was introduced even more streamlining the experience. Amazon Redshift debuted in 2012 and is still one of the most recognizable DWH out there.

However your IT departments also needed new competencies. Cloud Architects started to emerge and on top of actually creating a Data Warehouse, you needed to take care of your Cloud environment.

Casino SaaS – 2020 – present

Administration overhead in the Cloud was noticed by major vendors like Snowflake and Big Query which dreamed of a new model where you get a fully functional Data Warehouse without the need to bother with complex administration – the Software as a Service model was here. It scales automatically, it can do real-time or batch processing, it can work with Machine Learning and Artificial Intelligence model, at last we reached the peak.

Or did we? There was still one more mountain to climb – unpredictability of the SaaS cost model and implementation costs of Data Models. This was analyzed back and forth. Which is cheaper? Redshift, Snowflake, maybe something else? Which is easier to implement? You will not get a straight answer – the only you can count on is “it depends”.

License to DWaaS – 2025 and the future

Data Warehouse on its own has no value. There, I said it. No matter how much you invest, DWH on it’s own will not bring you profit. You need to build on it – Business Intelligence solutions, Machine Learning solutions and Artificial Intelligence. This is where your company should focus, where your top specialists should be working on, where your investments should go.

At Phronesis Path we recognized this final flaw, SaaS model took the administration cost off the table but still client’s Data Engineers need to build models for the tools to consume, the cost is still unpredictable.

Therefore we introduced a Phronesis Data Warehouse as a Service model. We take care of your Data Warehouse models, SaaS costs, quality and stability so you can focus on those things that are important – monetization of your data. And what is more predictable than a subscription model? For a flat fee, depending on the number of model you want us to maintain for you, you get a fully functional Data Warehouse to power your analytics.

Now you don’t need to estimate yearly run costs of SaaS, instead you can calculate the cost on your own with a few sliders and Phronesis Path takes care of the cloud. You do not need to employ Cloud Architects and Senior Data Engineers – you can focus on the high-return investments like Artificial Intelligence and Machine Learning to give your company the competitive advantage.

And the best part? You won’t pay a dime until we deliver first functioning model.

The Man with the Golden AI

And what if technology makes another leap? You do not need to worry about this, Phronesis Path agents will make sure you always get the best solutions from Data perspective and will make sure backwards compatibility is always there so your investment is secured.

The journey is far from over, we are just starting to explore what Artificial Intelligence can do for us. We recognize that at Phronesis Path. Therefore we conduct extensive Research and Development in order to show you what you can achieve. You can rely on us to show you the newest trends in Headless Business Intelligence, Artificial Intelligence Agents that build reports and analyze data for you, no-code Self Service solutions that your Business Analysts can use with confidence without deep SQL or Python knowledge.

We can show you the benefits of this future and if you agree, even present the solutions for free, based on your data. This way you can not only outsource Data Warehouse creation but Research and Development as well. We will make sure you are always ahead.

Please see our Phronesis Data Warehouse as a Service models at:

https://www.phronesispath.com/service/data-warehouse/

https://www.phronesispath.com/service/dwaas/

Phronesis Path wishes you all the best in your AI Mission

I came, I saw, I improved

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