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Distributed Data Warehousing with Bacalhau

Expanso helps leading organizations innovate quickly by helping them architect, implement, and maintain enterprise-grade distributed compute platforms. In fact, Expanso is the same team that created and currently maintains the industry-leading open-source software Bacalhau. It is built to improve cost and efficiency of processing large-scale datasets in distributed environments.

Traditional data warehousing faces constant challenges.

Slow to Adapt

Centralized systems are often slow and complex to adapt to new data sources or schema changes.

Scalability

As data volume and user demands increase, centralized systems become costly and complex to scale.

Performance

More users and applications accessing the system can degrade performance, leading to delays in data retrieval and analysis.

Engineering costs

Centralizing data, especially from diverse sources, demands substantial engineering efforts.

Maintenance

Routine updates and upkeep are resource-intensive, requiring significant investments in hardware, software, and skilled personnel.

Distributed data warehousing emerges as the solution.

Unlock the power of distributed data warehousing by bringing computation closer to your data sources. This approach minimizes costs, enhances scalability, and ensures real-time access to critical insights.

Reduced Data
Movement

Query data directly at its source to cut costs and reduce the burden on data engineers.

Scalable
Architecture

Easily scale by adding compute nodes at data sources, without overburdening central infrastructure.

Real-Time
Querying

Run immediate queries on the latest data, enabling faster and more informed decision-making.

Avoid Vendor
Lock-in

Avoid the risks of relying on a single provider and maintain flexibility in your data strategy.

Bacalhau as a distributed data warehouse orchestrator.

Bacalhau lets you leverage a distributed data warehouse really easily, without having to overhaul your current systems. Most companies already have the data and computing power they need for analytics, scattered across different databases, servers, and edge locations.

Bacalhau makes it simple to turn your scattered resources into a dynamic data warehouse. Just install its lightweight agents right where your data lives, and you can run compute jobs on-site. This way, you avoid moving big datasets around or making big changes to your ETL processes and data models.

FLEXIBLE COMPUTE NODES

Bacalhau’s compatibility with Docker and WebAssembly enables efficient handling of diverse workloads. Its compute nodes support a broad range of applications, from modern .NET applications to legacy IBM AS/400 systems, allowing for custom execution engines and versatile use cases.

DIVERSE DATA ACCESS

Bacalhau cuts the high costs associated with data transfer by enabling direct access to local data, reducing the need for extensive data movement. It supports a variety of storage options including S3-compatible storage, IPFS, and direct local storage, ensuring data is readily available for computation.

SMART JOB ALLOCATION

Bacalhau allows you to precisely manage how jobs are assigned to compute nodes. You can target nodes for specific jobs using labels that denote their characteristics, and the latest updates to the platform enable even more nuanced selections based on these labels.

Seamless Integration

Bacalhau integrates easily with existing systems, offering flexibility through plugins and extensions. Its modular design supports quick adaptations to evolving business needs, ensuring smooth operations without the need for extensive reconfigurations.

Read More About Bacalhau

Implementation Example

SCENARIO

Consider a retail chain with multiple stores spread across different regions. Each store has its own POS system collecting sales data. Traditionally, this data is batch-uploaded to a central data warehouse at the end of each day for processing and report generation.

BACALHAU DEPLOYMENT

With Bacalhau, each store installs a compute node that processes data locally. A control plane node orchestrates tasks across the compute nodes, distributing work based on various selection criteria. Retailers can now query data in near real-time, gaining instant insights without the need for extensive data transfer or central processing infrastructure.

BENEFITS
Real-time Insights

Retailers can query data and generate reports in near real-time, enabling quicker decision-making.Retailers can query data and generate reports in near real-time, enabling quicker decision-making.

Reduced Network Bandwidth

By processing data locally, Bacalhau significantly reduces the amount of data that needs to be transferred over the network.

Enhanced Security

Minimizing data transfer also reduces the risk of data incursions, ensuring better compliance with data governance regulations.

Cost-Effectiveness

Bacalhau eliminates the need for expensive central processing infrastructure, making it a cost-effective solution.

Build it Yourself

For detailed instructions and code examples, visit our comprehensive documentation page.

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