Build data strategy simply ever with Data solution template

End-to-end modern data solution architecture to build project skeleton, CLI support. DataOps is enabled (IaC with Terraform, CI/CD using Azure DevOps).

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Benefits from our end-to-end design

Utilizing a data solution accelerator enables organizations to decrease the duration and resources necessary to build and deploy a modern cloud-based data solutions. Additionally, it aids in reducing the risk of errors, increases the efficiency, and improves the overall quality of your solution.

Speed

Reduce the time required to build and deploy data solutions. Tangible benefit 6 weeks.

Best practices

Ensure that data solutions are built with the highest standards of data quality & security.

Scalable

Designed to scale as data volumes and processing requirements grow.

Customizable

Pre-built components and templates, allow for customization to meet specific business needs.

Features on data solution template

Data ingestion

Support multiple endpoints like SQL, CSV, JSON.

Batch processing with AWS Glue, Azure Data Factory, and Databricks.

Real-time support utilising AWS Kinesis, Event hubs and Stream Analytics.

Data Lakehouse

Build a Lakehouse solution using Redshift, Synapse, or Databricks

Support Parquet and Delta Lake format.

Improved Data analytics with Spark.

DataOps

Use Terraform to provision infrastructure resources.

Set up CI/CD pipelines with Azure Devops.

DevOps Improved code quality, enhanced traceability through using Gitflow.

Data governance compliance

Monitor database activities.

Implement data protection and data encryption.

Manage Access control and data policies.

Embedded AI/ML

Synapse / Databricks & Azure ML integration.

StepOne AI integration.

Visualisation

Visualize data with Power BI or QuickSights.

Integrate with Synapse, Databricks, Redshift.

Support Real-time analytics.

Modern data solution architecture

Amazon Redshift

By incorporating Amazon Redshift as the data warehouse component in a data lakehouse architecture, and combining it with other AWS data services like Glue, Kinesis, Athena, it is possible to create a cost-effective, scalable, and high-performance solution for storing, processing, and analyzing vast amounts of data.

Technical stacks

Azure Synapse / Databricks

Databricks and Azure Synapse Analytics provide robust capabilities for constructing a data lakehouse architecture. Their rich feature sets for data processing, analytics, collaboration, and governance enable efficient management of large-scale data volumes and complex workloads.

Technical stacks