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C2S Technologies is a Certified and Trusted Databricks C/SI Partner.

Customer Stories / Use Cases using Databricks


C2S Technologies have partnered with Taylor Farms to leverage Databricks platform to transform their data processing, analytics, and governance capabilities. By integrating Databricks into their infrastructure, we've enabled them to achieve significant improvements in operational efficiency, cost savings, data management and governance.

Key Innovations Leveraged

Delta Format and Delta Live Tables: Implemented Delta Lake for robust data reliability, supporting ACID transactions and simplifying the management of slowly changing dimensions and out-of-sequence data through Delta Live Tables.

Delta Sharing: Revolutionized data collaboration by enabling seamless, secure sharing of data assets with external partners, enhancing data-driven decision-making across ecosystems.

Data Governance with Unity Catalog: Implemented Unity Catalog for comprehensive data governance, ensuring centralized management of data assets, rigorous compliance with regulatory standards, and enhanced data security through detailed access controls and monitoring.


Use Case

Data Migration
  • Exporting data from on-premises SQL database to Databricks.
  • Continuous monitoring of SQL database change tracking tables.
Data Ingestion
  • Using EventHub to capture changes.
  • Databricks pulls data from EventHub for processing.

Why Databricks?

Unified Platform
  • Simplifies data preparation and analytics.
  • Facilitates collaboration among data teams.
Delta Live Tables
  • Manages slowly changing dimensions and out-of- sequence data.
  • Ensures consistent and reliable data pipelines.
Low Code/No Code Solution
  • Reduces the need for extensive custom coding.
  • Speeds up implementation and maintenance processes.


Operational Efficiency
  • 80% Reduction in Development Time: Significant decrease in time spent on developing and maintaining data pipelines.
  • 70% Reduction in Operational Costs: Lower costs due to simplified data processing and reduced need for custom code.
Cost Reduction
  • Reduced development and maintenance costs.
  • Minimized infrastructure expenses.
Improved Data Management
  • 90% Improvement in Data Accuracy: Enhanced data accuracy and consistency through automated handling of data changes and out-of- sequence data.
  • 95% Increase in Data Processing Speed: Faster ingestion and processing of data, leading to quicker insights and decision-making.


Use Case

Data Integration
  • Extracting D365 data from Azure Data Lake Storage (ADLS) into Databricks.
  • Creating a data warehouse and Master Data Management/Model (MDM) solution.
Data Sources
  • Azure Data Lake Storage: Contains D365 data.
  • On-Premises Data: Contains AX data.
  • Combine D365 data from ADLS and AX data from on-premises to build a unified view.
  • Replace the existing Azure Data Warehouse solution to reduce compute costs.

Why Databricks?

Unified Data Processing
  • Seamlessly integrates data from multiple sources (ADLS with D365 data and on-premises AX data).
  • Provides a robust platform for building a comprehensive data warehouse and MDM.
Cost Efficiency
  • Significantly lower compute costs compared to Azure Data Warehouse.
  • Optimized resource usage and scalable compute options.
Advanced Analytics
  • Facilitates advanced analytics and data processing workflows.
  • Enhances data quality and consistency through Delta Lake and MDM solutions.
Streamlined Management
  • Simplifies the process of combining and managing data from diverse sources.
  • Reduces the complexity of maintaining separate systems for data integration and MDM.


Operational Efficiency
  • 75% Reduction in Data Processing Time.
  • 65% Improvement in Data Quality.
Cost Reduction
  • 60% Reduction in Compute Costs.
  • 50% Savings in Infrastructure Costs.
Enhanced Data Management
  • 80% Increase in Data Unification Speed.
  • 90% Reduction in Maintenance Efforts.


Use Case

Data Governance
  • Implementing robust data governance framework using Unity Catalog.
  • Ensuring data security, compliance, and quality across the data ecosystem.
Data Security
  • Centralized access controls and permissions management.
  • Auditing and monitoring data access and usage.
  • Meeting regulatory requirements and industry standards.
  • Ensuring data privacy and protection.

Why Databricks?

Comprehensive Governance
  • Unity Catalog provides a unified view and management of data assets.
  • Simplifies governance and compliance across different data environments.
Enhanced Security
  • Centralized security policies and access controls.
  • Detailed auditing and monitoring capabilities.
Improved Data Quality
  • Ensures consistency and accuracy of data across the organization.
  • Reduces risk of data breaches and non- compliance.


Operational Efficiency
  • 70% Reduction in Governance Management Time: Streamlined governance processes lead to faster implementation.
  • 80% Improvement in Data Security: Enhanced data protection and compliance.
Cost Reduction
  • 50% Reduction in Compliance Costs: Lower costs due to efficient governance and regulatory adherence.
  • 60% Savings in Risk Management: Reduced risks lead to lower potential costs related to data breaches and non-compliance.
Enhanced Data Management
  • 90% Increase in Data Quality: Improved data accuracy and consistency.
  • 85% Reduction in Data Governance Complexity: Simplified management of data governance policies and practices.

How can Databricks and C2S together streamline your data strategy, achieving up to 90% cost savings in record time


Book a free consultation today. It's easy to find a convenient time when you use our online scheduling app.


We’ll meet (virtually first) and deep dive for a good game plan that includes planning, development, deployment and support to meet a perfect fit.


Databricks – with minimal effort.


CALL US: : +1 214-789-4273

Why Databricks over Snowflake or others?

This free guide explains why Databricks is the preferred choice over Snowflake and other competitors. It provides insights into the unique value Databricks offers and explores the data maturity landscape.

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