In every industry, companies that leverage data and AI will emerge as the ultimate leaders.
C2S Technologies is a Certified and Trusted Databricks C/SI Partner.
What is Databricks ?
Data Lakehouse
An open, unified foundation for all your Data
+
Generative Al
Easily scale and use Data and Al
Data Intelligence Platform
Democratize Data + Al across your entire organization
Why Databricks is so powerful in your data strategy ?
Databricks Lakehouse Platform
Simple
Unify your data warehousing and Al use cases on a single platform
Open
Built on open source and open standards
Multi-cloud
One consistent data platform across clouds
Key Feature of Databricks
Data Sharing
Data Engineering
Data Governance
Data Warehousing
Artificial Intelligence
Data Science
Real-Time Streaming
Marketplace
Customer Stories / Use Cases using Databricks
Taylor Farms is distributing fresh salads, vegetables, and healthy snacks
to major retailers and foodservice operators throughout USA
ON-PREMISES DATA MIGRATION AND PROCESSING WITH DATABRICKS
Use Case
- 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?
- 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
- 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
- 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?
- 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
- 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
- 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?
- 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
- 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.
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 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.