Snowflake

Set up your Snowflake solution using Microsoft Azure to provide your organisation with a stable and reliable data warehouse that can process and store any data, big or small.

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How we can help you using Snowflake

AGER BI can set up a Snowflake environment to help your organisation with data migration, architecture design, and optimisation.

By assessing your current data infrastructure, we can guide the integration of Snowflake into your environment ensuring scalability, security, and performance.

We can also set up efficient data pipelines, advanced analytics, and data governance processes to enable your organisation to unlock valuable insights and make data-driven decisions.

What is Snowflake?

Snowflake is a powerful, cloud-based data warehousing platform designed to help organisations store, manage, and analyse large amounts of data with ease and scalability.

It allows organisations to seamlessly handle diverse workloads, from traditional analytics to machine learning, with performance and cost-efficiency.

Components

Database Storage: This is where the structured and semi-structured data is stored. Snowflake separates compute from storage, allowing storage to scale independently. It stores data in a columnar format, optimised for performance and compressed to reduce storage costs.
Compute (Virtual Warehouses): Compute resources in Snowflake are referred to as virtual warehouses. A virtual warehouse is a cluster of compute resources (CPU and memory) that performs operations like querying, loading, and transformation. Compute resources can be scaled up or down as required, and each virtual warehouse is independent, allowing for concurrent workloads without interference.
Cloud Services: This layer handles the overall management and orchestration of Snowflake’s services, such as authentication, metadata management, query optimisation, access control, and infrastructure management. It also handles tasks like query compilation, optimisation, and execution planning. The cloud services layer ensures that Snowflake is highly available, secure, and able to scale across multiple cloud providers.
Metadata Layer: The metadata layer stores information about the structure of the data, including schema, tables, views, and other objects. It also manages the history of data changes, helping with features like time travel and cloning. The metadata layer is key for Snowflake’s ability to provide ACID-compliant transactions and support features like automatic data optimisation and indexing.
Data Sharing: Snowflake’s data sharing capabilities allow for the secure and real-time sharing of data between different Snowflake accounts. This eliminates the need to copy or move data, enabling seamless collaboration between different organisations or departments without the overhead of traditional data integration processes.

Key Features

Separation of Storage and Compute

One of Snowflake’s most unique features is its architecture that separates compute and storage. This means users can scale storage and computing resources independently, optimising costs. Users can store an unlimited amount of data and only pay for the computing power needed to process it. This architecture also allows multiple compute clusters to access the same data without any performance degradation, making concurrent workloads more efficient.

Cloud-Native Architecture

Snowflake operates entirely in the cloud, taking full advantage of cloud infrastructure. Unlike traditional on-premises data warehouses, Snowflake doesn’t require maintenance, hardware management, or upfront infrastructure investment. It automatically scales based on usage and workload demands, delivering high performance without compromising cost-efficiency.

Automation Scaling & Performance Optimisation

Snowflake’s architecture allows for the automatic scaling of compute resources based on workload needs. It can spin up or down compute clusters as required, ensuring performance remains high even under varying query loads. The platform also features automatic query optimisation, which helps reduce the time spent on query processing.

Zero Maintenance

Snowflake is a fully managed platform, meaning there’s no need for database tuning, indexing, or managing clusters. Snowflake automatically handles all optimisation tasks, such as scaling, backup, and failover, ensuring minimal maintenance overhead for IT teams.

Data Sharing and Collaboration

Snowflake’s unique data-sharing capabilities allow organisations to share live data securely across different business units, external partners, or customers. This eliminates the need for cumbersome data extraction and sharing processes. Snowflake ensures data consistency and integrity, while users can directly access shared data without the need to copy or move it.

Support for Structured and Semi-Structured Data

Unlike many traditional data warehouses, Snowflake supports both structured data (tables and rows in relational databases) and semi-structured data (JSON, XML, and Avro formats). Snowflake’s ability to natively handle semi-structured data reduces the complexity of data engineering and allows organisations to analyse diverse datasets with the same platform.

Security and Compliance

Snowflake provides robust security features, including end-to-end encryption, multi-factor authentication, and role-based access control. It also complies with various industry standards and regulations, such as GDPR, HIPAA, and SOC 2, ensuring that data remains secure and private.

Benefits

Snowflake offers a range of benefits for data management and analytics. One of the key advantages is its cloud-native architecture, which allows for scalability, flexibility, and ease of use.

Snowflake’s separation of storage and compute resources enables organisations to scale up or down based on their needs without impacting performance.

It supports seamless data sharing and collaboration across departments and external partners, making it ideal for enterprises with complex data ecosystems.

Additionally, Snowflake’s built-in data security features, including encryption and fine-grained access control, ensure that sensitive data is protected.

With its ability to handle structured and semi-structured data, such as JSON or Avro, Snowflake simplifies data integration and analysis, providing faster insights and driving more informed decision-making.

Its fully managed, serverless architecture reduces the need for complex infrastructure management, allowing teams to focus on high-value tasks.

Ease of Use

Cost-effective

Elasticity

Fast Time to Value

Data Consolidation

Scalability

Data Security

Data Integration

Use

Snowflake is suitable for use in a wide range of situations, including:

Business Intelligence

With its ability to process large datasets efficiently, Snowflake serves as a backbone for business intelligence (BI) tools, enabling faster insights and data visualisation.

Data Warehousing

Organisations use Snowflake to build and maintain scalable data warehouses that integrate data from multiple sources into a unified platform for analytics and reporting.

Real-Time Analytics

Snowflake’s architecture enables real-time data processing and analytics, empowering organisations to make quick, data-driven decisions based on live data streams.

Data Lakes

Snowflake can be used as a central repository for semi-structured and unstructured data, allowing organisations to create data lakes that support both advanced analytics and operational workloads.

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.

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