Azure Synapse Analytics

Migrate siloed business intelligence platforms into a unified Azure Synapse Analytics architecture that will consolidate your traditional data warehouses and modern big data systems. Utilise the Apache Spark multi-language engine for data sets comprising billions of rows of data to enable a fast and efficient method of storing and querying big data.

Free discovery call

How we can help you using Azure Synapse Analytics

AGER BI can leverage Azure Synapse Analytics to unlock the full potential of your data by providing end-to-end solutions for data integration, storage, and analysis. By harnessing Synapse’s ability to unify big data and data warehousing, we can design and implement scalable data architectures, optimise performance, and streamline data pipelines.

What is Azure Synapse Analytics?

Azure Synapse Analytics is an integrated analytics service that accelerates time to insights by bringing together various data solutions within a single platform. It bridges the gap between data warehousing, big data analytics, and data integration, allowing businesses to analyse data from multiple sources quickly and efficiently.

By combining the capabilities of enterprise data warehousing, big data analytics, and data integration, Azure Synapse simplifies data management, reduces complexity, and enables faster, more informed decision-making across the organisation.

Components

The main components of Azure Synapse Analytics are:

Synapse Studio: A web-based integrated development environment (IDE) that provides a unified experience for data engineers, data scientists, business analysts, and other users.
SQL & Spark Pools: Used for running large-scale data warehouse, big data analytics, and machine learning workloads.
Azure Data Lake Storage Gen2: Synapse integrates with Azure Data Lake Storage (ADLS) Gen2 to store and manage large volumes of unstructured or semi-structured data.
Azure Data Factory: A data integration service based on Azure Data Factory, allowing you to build data workflows, orchestrate data movement, and transform data across various data sources and sinks.
Power BI: Integrates tightly with Power BI to enable business intelligence capabilities to create dashboards, reports, and insights directly from the data in Synapse.
Azure Synapse Link: Enables real-time analytics on operational data from Azure Cosmos DB, SQL Server, and other Azure services. It allows data from transactional systems to be seamlessly integrated into analytics platforms.
Security Management: A comprehensive set of security, governance, and management tools that allow you to secure your data and manage resources in Synapse.

Key Features

Integrated Analytics Platform

Azure Synapse brings together diverse data processing engines like SQL data warehousing, Apache Spark, and data lake analytics into one seamless platform. This allows for the smooth operation of analytics workflows that involve data storage, transformation, and analysis.

Serverless SQL Pools

Azure Synapse allows for on-demand querying with serverless SQL pools. This means you only pay for what is used and there is no requirement to plan the provision of infrastructure. This capability is ideal for ad-hoc queries and exploratory data analysis.

SQL Dedicated Pools

Synapse provides dedicated SQL pools that allow organisations to run large-scale, complex queries with consistent performance. These pools are fully managed and provide scalable compute resources, ensuring fast query execution even with massive data sets.

Data Orchestration with Synapse Pipelines

Azure Synapse includes an integrated data pipeline service, enabling users to design, schedule, and manage data workflows. Users can automate ETL processes and integrate with other Azure services like Azure Machine Learning.

Power BI Integration

For business intelligence and data visualisation, Azure Synapse works seamlessly with Power BI. Users can connect to Synapse Analytics and create interactive dashboards, reports, and visualisations that help stakeholders act on data insights.

Advanced Analytics and Machine Learning

The platform natively integrates with Azure Machine Learning and other advanced analytics tools. This allows users to run machine learning models on their data directly, providing a seamless path from data ingestion to predictive modelling.

Security and Compliance

Azure Synapse is built with enterprise-grade security and compliance. It supports features like data encryption, user authentication, role-based access control (RBAC), and virtual network integration to ensure data remains safe and compliant with industry standards.

Benefits

Azure Synapse Analytics offers a comprehensive, integrated platform that combines big data and data warehousing capabilities, making it easier for organisations to analyse and derive insights from large volumes of data.

One of its key benefits is its ability to unify data processing, allowing both structured and unstructured data to be ingested, stored, and analysed within a single environment. The platform also provides seamless integration with Azure Machine Learning and Power BI, enabling advanced analytics and real-time reporting.

Additionally, Azure Synapse’s scalability ensures that organisations can efficiently handle varying workloads without compromising performance, while its serverless query capabilities help reduce costs by only paying for the resources consumed.

With robust security features, automated data management, and AI-powered insights, Azure Synapse Analytics empowers organisations to unlock deeper, more actionable insights while optimising their data strategy.

Fast Decision-Making

Reduced Costs

Collaboration

Real-Time Analytics

Data Governance

Data Management

Robust Security

AI Insights

Use

Azure Synapse Analytics is suitable for use in a wide range of situations, including:

Business Intelligence

Extract data and visualise insights via dashboards and reporting.

Data Warehousing

Consolidate data from various sources into a central repository for analytics and reporting.

Big Data Analytics

Leverage Synapse’s integration with data lakes and Apache Spark to process large-scale datasets.

Data Science & AI

Build and deploy predictive models and create end-to-end data science workflows.

Get started

Free consultation

Schedule a free, no obligation consultation with our certified solutions experts to understand how AGER BI can assist with your data needs.

Deep dive and strategy

If you choose to work with us, we’ll design a strategy outlining how we can tackle your biggest pain points immediately, with a plan of action to transform you into a successful state-of-the-art data-driven business.

World-class business intelligence solution

We will implement the strategy phase by phase to deliver you a truly world-class cloud-based business intelligence solution that will transform your business.

Let’s talk