Discovery & Assessment
We assess your current data landscape, business goals, and technical requirements to define the right data platform and integration strategy.
What can we deliver
Seamlessly connect data from diverse sources to ensure high quality and accessibility for analytics and operations.
Automate the ingestion of structured and unstructured data at scale using Azure Data Factory and Databricks.
Design and implement scalable data lakes, warehouses, and lakehouses to store and manage your organisation’s data efficiently.
Build robust ETL/ELT pipelines with Azure Synapse and Databricks for clean, enriched, and ready-to-use datasets.
Enable real-time analytics and decision-making with continuous data processing capabilities.
Implement frameworks to govern and secure your data assets while ensuring compliance with industry standards.
Why Agile Insights
See why businesses choose agile insights!
We leverage the latest Microsoft tools, including Azure Synapse, Databricks, and Data Factory, to deliver advanced data engineering solutions.
From ingestion to transformation, we cover every aspect of data engineering to ensure your data platform aligns with your business objectives.
Our proprietary frameworks and accelerators ensure faster time-to-value without compromising on quality and governance.
With local expertise and a deep understanding of the Australian market, we deliver scalable and compliant solutions tailored to your needs.
We assess your current data landscape, business goals, and technical requirements to define the right data platform and integration strategy.
Our experts design a scalable, secure, and high-performance data architecture, leveraging cloud-native and hybrid solutions.
We implement robust data pipelines to connect disparate sources, ensuring seamless data flow across your ecosystem.
Using ETL/ELT frameworks, we standardise, clean, and enrich data for accurate reporting, analytics, and AI-driven insights.
We establish governance policies, access controls, and compliance frameworks to protect data integrity and privacy.
Continuous monitoring and fine-tuning of your data platform ensure efficiency, cost-effectiveness, and high availability.
We provide continuous support, enhancements, and future-proofing to scale and adapt your data platform as business needs evolve.
Inspiration
See how Agile Insights has transformed organisations across industries, Eliminated Inefficiencies, Automated Processes, Enhanced Decision-Making, Built Scalable Solutions.
Common questions
Your company may have data sources on many different platforms:
SQL Server on-premises
Oracle on-premises
Azure SQL Database
Azure table storage
Azure Cosmos DB
Other legacy applications and databases
Data is loaded from these different data sources using several Azure components:
Azure Data Lake Storage is used to stage source data before it’s loaded into Azure Synapse.
Data Factory orchestrates the transformation of staged data into a common structure in Azure Synapse. Data Factory uses PolyBase when loading data into Azure Synapse to maximize throughput.
Azure Synapse is a distributed system for storing and analysing large datasets. Its use of massive parallel processing (MPP) makes it suitable for running high-performance analytics. Azure Synapse can use PolyBase to rapidly load data from Azure Data Lake Storage.
Analysis Services provides a semantic model for your data. It can also increase system performance when analysing your data.
Power BI is a suite of business analytics tools to analyse data and share insights. Power BI can query a semantic model stored in Analysis Services, or it can query Azure Synapse directly.
Microsoft Entra ID (Azure AD) authenticates users who connect to the Analysis Services server through Power BI. Data Factory can also use Azure AD to authenticate to Azure Synapse via a service principal or Managed identity for Azure resources.
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