Craft backed by Technique
We have developed a raft of agile data techniques that enable us to work in a Simply Magical way.
We are so confident using the techniques we have developed that we provide our effort to collect, combine and present your data at no cost to you.
We also love to share these techniques via our Blog’s and Podcasts which we craft and publish on a regular basis.
Batteries are included
We hate it when we buy something and the “batteries cost extra”. We know you feel the same way when you subscribe to a data product and then have to pay thousand of dollars to con-sultants to make it work for you.
So we don’t charge you for our effort to deliver what you need.
We love to share
Here are some blogs that share some insight into our techniques.
NZ Scaleup AgileData achieves Google Cloud Ready – BigQuery Designation
AgileData has achieved Google Cloud Ready – BigQuery designation, streamlining data management for customers and partners. This certification confirms the integration’s functionality and reliability, reducing complexity through a low-code interface. By leveraging Google Cloud’s infrastructure and BigQuery, AgileData empowers business leaders to rapidly gain insights and make informed decisions efficiently.
Upgrading Python: A Plumbing Adventure in the Google Stack
In the ever-evolving world of AgileData DataOps, it was time to upgrade the Python version that powers the AgileData Platform.
We utilise micro-services patterns throughout the AgileData Platform and a bunch of Google Cloud Services. The upgrade could have gone well, or caused no end of problems.
Read more on our exciting plumbing journey.
Anatomy of a Data Product
A graphical overview of the components required for a Data Product
Myth: using the cloud for your data warehouse is expensive
TD:LR Cloud Data Platforms promise you the magic of storing your data and unlimited elastic compute for cents. Is it too good to be true? Yes AND No. You can run a cloud platform for a low low cost, but its will take...
App Engine and Socket.IO
We wanted to be able to dynamically notify Data Magicians when a task had completed, without them having to refresh their browser screen constantly. Implementing websockets allowed us to achieve this.
Using a manifest concept to run data pipelines
TD:LR … you don’t always need to use DAGs to orchestrate Previously we talked about how we use an ephemeral Serverless architecture based on Google Cloud Functions and Google PubSub Messaging to run our customer data...
“Serverless” Data Processing
TD:LR When we dreamed up AgileData and started white-boarding ideas around architecture, one of the patterns we were adamant that we would leverage, would be Serverless. This posts explains why we were adamant and what...
Data Mesh Podcast – Finding useful and repeatable patterns for data
TD:LR I talk to Scott Hirleman on the Data Mesh Radio podcast on my thoughts on Data Mesh and the need for resuable patterns in the data & analytics domain. My opinion on Data Mesh I am not a fan of the current...
What is Data Lineage?
TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We...
AgileData Podcasts
If the page is blank, it's probably due to your magical ad-blocker software. Listen to the AgileData podcasts here