Why automate? What does Data Warehouse Automation for us?
This article is for you if you considering to use Data Warehouse Automation (DWA) and asking yourself why you should use Data Warehouse Automation tools what does it do for you. After I explained in my previous blog Why Data Warehouse Automation is not more popular, you will find the why and what of Data Warehouse Automation in this second post of the series.
Why automate your Data Warehouse?
Every industry has used automation to increase productivity, reduce manual effort, improve quality and consistency, and speed delivery. Henry Ford introduced the assembly to produce automobiles, and today Uber and countless other startups use the Internet and digital processing to reduce friction in commercial transactions. Thus, the time has come to introduce automation to data warehousing.
Pointed out by Eckerson Group.
I would say it like this. In a society where time flys remarkably fast and data became the new gold, it’s crucial to have proper analyses…
Why Data Warehouse Automation is not more popular
I was working with a Data Warehouse Automation (DWA) tool for a little more than a year, and I have to say I loved it. As a BI developer you could focus on the challenges you had in dimensional modelling, what granularity should you have the fact tables and going crazy with the business requirements and everything fast, consistent and tested!
But why is Data Warehouse Automation not used more often and more popular? I’m asking that myself more and more. That’s why I’m writing a series of blog posts all about DWA. In this first blog, I’m trying to find possible reasons behind and also argue for DWA, and why we should use it more often.
Every one needs to make data driven decision faster, why not use a generator which gives you answers in days instead of months..?
Losing control
What do I mean by that? Many people and therefore many companies fear…
Data Warehouse Automation (DWA) – Series
Very long time ago, 1986, 31 years ago to be precise, IBM in Europe created the very first architecture of a data warehouse. And it seems to be a masterpiece as it didn’t change much since. Though how can we improve or bring some innovation into Data Warehouse business in times everyone is talking about big data, data lakes, Internet of Things (IoT), predictive analytics, Data Vault, etc.?
No matter how we want to improve the architecture, it has to be automated as much as possible. Nowadays it became too slow for serving the business needs doing it the traditional way. However, I don’t think DWH will go away anytime soon (see more DWH vs Data Lake). I strongly believe that DWA tools are the future and will boost the Data Warehousing reputation back to earlier years.
That’s why I wrote this blog series all about DWA. You can start with the first blog…