I am Kevin Sequeira, a Data & Analytics Technical Consultant living in Adelaide, Australia.
I am currently employed with Exposé: Data Exposed, a leading Adelaide-based consultancy
offering their services to prestigious Australian clients across
a wide-range of data and cloud technologies.
Click this card, and I’ll tell you more.
Microsoft Azure
Cloud adoption has burgeoned over the past decade.
Cost-effective, easily manageable, and relatively secure, cloud platforms are driving digital transformation.
Top cloud service providers offer services to migrate your on-premise resources to the cloud.
This blog discusses the latest IaaS and PaaS services on the Microsoft Azure cloud platform.
Click this card to explore Azure and get up to speed with cloud computing.
Data Analytics
Data Analytics can provide businesses with the competitive edge they need to challenge the future.
But who needs analytics? And how does data analytics work.
This blog is for students, young engineers, and data analysts looking to navigate the world of analytics.
Click this card to read about concepts, strategies, and the latest tools and tech in the game.
Machine Learning
With greater push to automate processes, reduce expenses on repetitive workloads,
and improve employee and customer experience, organisations are turning to machine learning,
with growing work in the field in natural language processing, video processing, and speech analysis.
This blog discusses different algorithms and tools used in this space.
Click this card to dive in and get a taste of machine learning.
SQL Server
Microsoft’s own RDBMS offering, SQL Server has come a long way over the years.
Working exclusively on Windows environment, SQL Server is a powerful database management software that is now available
both an on-premises and in the cloud.
Click this card to learn programming in T-SQL and manage your SQL Server instances.
Data Engineering
Developing data analytics systems requires a robust foundation in data engineering.
Organisations that rely on analytics to drive business must have seamless data pipelines and data integration.
Efficient data engineering - data storage, feature engineering, and modelling - leads to efficient data analytics.
Click this card to read more on data engineering and how it can help you.
About me
I am Kevin Sequeira, a Data & Analytics Technical Consultant living in Adelaide, Australia.
I am currently employed with Exposé: Data Exposed, a leading Adelaide-based consultancy
offering their services to prestigious Australian clients across
a wide-range of data and cloud technologies.
Click this card, and I’ll tell you more.
Data Analytics
Data Analytics can provide businesses with the competitive edge they need to challenge the future.
But who needs analytics? And how does data analytics work?
This blog is for students, young engineers, and data analysts looking to navigate the world of analytics.
Click this card to read about concepts, strategies, and the latest tools and tech in the game.
Microsoft SQL Server
Microsoft’s own RDBMS offering, SQL Server has come a long way over the years.
Working exclusively on Windows environment, SQL Server is a powerful database management software that is now available
both an on-premises and in the cloud.
Click this card to learn programming in T-SQL and manage your SQL Server instances.
Microsoft Azure
Cloud adoption has burgeoned over the past decade.
Cost-effective, easily manageable, and relatively secure, cloud platforms are driving digital transformation.
Top cloud service providers offer services to migrate your on-premise resources to the cloud.
This blog discusses the latest IaaS and PaaS services on the Microsoft Azure cloud platform.
Click this card to explore Azure and get up to speed with cloud computing.
Machine Learning
With greater push to automate processes, reduce expenses on repetitive workloads,
and improve employee and customer experience, organisations are turning to machine learning,
with growing work in the field in natural language processing, video processing, and speech analysis.
This blog discusses different algorithms and tools used in this space.
Click this card to dive in and get a taste of machine learning.
Data Engineering
Developing data analytics systems requires a robust foundation in data engineering.
Organisations that rely on analytics to drive business must have seamless data pipelines and data integration.
Efficient data engineering - data storage, feature engineering, and modelling - leads to efficient data analytics.
Click this card to read more on data engineering and how it can help you.