Blockchain in bits – A technical insight

Primary author: Rajesh Kotian (Consultant, Exposé, Vic) Contributors: Cameron Wells (Technical Lead, Exposé, SA) & Etienne Oosthuysen (Head of Technology and Solutions, Exposé) In our previous two articles, we articulated several real-life use cases for Blockchain implementations, and we have also elaborated conceptually how Blockchain differs from current/previous data storage architecture as well as other…

Blockchain, lifting the lid on confusing concepts

Joint Authors: Etienne Oosthuysen (Exposé, Head of Technology and Solutions) and Cameron Wells (Exposé, Technical Lead) In the previous article An Internet of Value – Blockchain, beyond the hype and why CxO’s must take note, we articulated why blockchain is more than just hype and provided some real-life use cases as to where/how blockchain is…

ETL as a Service – Lifting & Shifting your existing SSIS ETL to Azure

Introduction Why a trend towards PaaS over IaaS and how this relates to SSIS Businesses are moving more towards environments where infrastructure is invisible to the business; where Platforms as a Service (PaaS) are developed, deployed and managed in the cloud to reduce operational infrastructure overhead costs as well as increase the scalability and availability…

Chatbots – how the Azure bot framework is changing the AI game

Authors: Chris Antonello (Data Analytics Consultant, Exposé) & Etienne Oosthuysen (Head of Technology and Solutions, Exposé) What are bots? Communication underpins intelligence. And language underpins communication. But language is complex and must be understood through the prism of intent and understanding. For example: Take the term, “thong” – in Australian slang this means flip-flops, a meaning lost…

Power BI Report Server – a quick walkthrough

Just about any implementation of a reporting environment within an organisation will have different styles of reports for different purposes. These reports may be operational\paginated, self-service using Excel, and\or highly interactive and user-friendly Power BI reports. The central question then beckons, how do all our users access these reports within one location which is easily…

Game changing – see how Power BI models become Azure Analysis Services models

Businesses are increasingly embracing an empowered regime when it comes to data analytics and business intelligence. Subject matter experts inside business units are increasingly at the forefront of the creation of data models on which reports and dashboards rely. Various technologies (such as Tableau, Qlik and Power BI), now facilitate user-access to a wide variety…

We test drive Azure Time Series Insights

In this video we take Azure Time Series Insights for a test drive. It is the new “fully managed analytics, storage, and visualization service that makes it simple to explore and analyse billions of IoT events simultaneously”. We also importantly look at the differences between Power BI’s real time visualisation capabilities and Azure Time Series…

We test drive Azure Analysis Services – the good, and the not so good.

In the modern world of Advanced Analytics, Semantic Models rather than data warehouses will increasingly play the core role in corporate data landscapes – they are places where data is blended into models that business users can understand, they provide single sources of truth, they can increasingly embrace data from anywhere, they serve as centralised repositories…

Artificial Intelligence in Advanced Analytics Platforms

Artificial intelligence (AI) encompasses various technologies such as machine learning, natural language processing, deep learning, cognition and machine reasoning. Usually AI is defined as a biological system which is designed for computers to give them the human-like ability of hearing, seeing, thinking and then reasoning. One of the newest technology applications in businesses, Computer Vision,…

Is the Data Warehouse Dead?

I am increasingly asked by customers – Is the Data Warehouse dead? In technology terms, 30 years is a long time. This is how old the Data Warehouse is – that makes the Data Warehouse an old timer. Can we consider it a mature yet productive worker, or is it a worker gearing up for…