The winners in every industry will be Data + AI Companies
C2S Technologies is a Certified and Trusted Databricks C/SI Partner.
Customer Stories / Use Cases using Databricks
Fresh Salads for America - Powered by Data & AI at Scale
Taylor Farms is distributing fresh salads, vegetables, and healthy snacks to major retailers and foodservice operators throughout USA
CUSTOMER SUCCESS WITH 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.
ON-PREMISES DATA MIGRATION AND PROCESSING WITH DATABRICKS
Use Case
Data Migration
- Exporting data from on-premises SQL database to Databricks.
- Continuous monitoring of SQL database change tracking tables.
- 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.
- Manages slowly changing dimensions and out-of- sequence data.
- Ensures consistent and reliable data pipelines.
- Reduces the need for extensive custom coding.
- Speeds up implementation and maintenance processes.
Impact
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.
- Reduced development and maintenance costs.
- Minimized infrastructure expenses.
- 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.
D365 DATA INTEGRATION AND MDM WITH DATABRICKS
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.
- 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.
- Significantly lower compute costs compared to Azure Data Warehouse.
- Optimized resource usage and scalable compute options.
- Facilitates advanced analytics and data processing workflows.
- Enhances data quality and consistency through Delta Lake and MDM solutions.
- Simplifies the process of combining and managing data from diverse sources.
- Reduces the complexity of maintaining separate systems for data integration and MDM.
Impact
Operational Efficiency
- 75% Reduction in Data Processing Time.
- 65% Improvement in Data Quality.
- 60% Reduction in Compute Costs.
- 50% Savings in Infrastructure Costs.
- 80% Increase in Data Unification Speed.
- 90% Reduction in Maintenance Efforts.
DATA GOVERNANCE WITH UNITY CATALOG
Use Case
Data Governance
- Implementing robust data governance framework using Unity Catalog.
- Ensuring data security, compliance, and quality across the data ecosystem.
- 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.
- Centralized security policies and access controls.
- Detailed auditing and monitoring capabilities.
- Ensures consistency and accuracy of data across the organization.
- Reduces risk of data breaches and non- compliance.
Impact
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.
- 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.
- 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
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EMAIL US: DATABRICKS@C2STECHS.COM
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