A few weeks ago I did a talk at AI Bootcamp here in Melbourne on how we can build a serverless solution on Azure that would take us one step closer to powering industrial machines with AI, using the same technology stack that is typically used to deliver IoT analytics use cases. I demoed a … Continue reading Control IoT Devices Using Scala on Databricks (Based on ML Model Output)
Category: Streaming
From Monolithic Architecture to Microservices and Event-Driven Systems
I’m a massive fan of streaming and real time data processing and solutions. I strongly believe a lot of use cases are going to be defined and implemented around fast and streaming data in near future, especially in IoT and streaming analytics. With 5G rolling out soon and its superfast bandwidth and wide geographical coverage, … Continue reading From Monolithic Architecture to Microservices and Event-Driven Systems
UDFs in KSQL: DateAdd
KSQL, the SQL engine for streaming data, is a very powerful tool that helps great deals in Streaming Analytics use cases. It comes with a set of functions that could be used to transform, filter or aggregate data and the good thing is that you can extend it easily by implementing and adding your own … Continue reading UDFs in KSQL: DateAdd
Use Streaming Analytics to Identify and Visualise Fraudulent ATM Transactions in Real-Time
Storing and analysing big amounts of data is not the differentiator of successful companies in the process of decision making anymore. Today's world is about how fast decision makers are provided with the right information to be able to make the right decision before it’s too late. Streaming Analytics is correctly referred to as Perishable … Continue reading Use Streaming Analytics to Identify and Visualise Fraudulent ATM Transactions in Real-Time
In Data we trust 