Conduit - A Lightweight Data Virtualization Tool
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Conduit unleashes the power of your data by securely connecting data sources to the business intelligence tools you rely on in real time. Lightweight data virtualization has never been easier. Contact us for a FREE trial: Marketing@bpcs.com.
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Conduit - A Lightweight Data Virtualization Tool
- 2. 22 Table of Contents Introduction 3 Simplified Connectivity 4 Stakeholder Efficiency 5 Conduit Use Cases 6 Use Case: Advanced Analytics 7 Use Case: Data Integration 10 Use Case: Data Availability 13 Appendix: Example Architecture 16
- 3. 33 Introduction When looking at the modern data landscape and working to manage our own business needs around data accessibility, we discovered many companies have problems with querying, aggregating, and integrating large data sets. To solve this problem, we developed Conduit: a lightweight data virtualization tool that securely connects data from multiple data systems, sources, and types to any business intelligence tool. Data virtualization is the key to a modern data management strategy and should be frictionless, lightweight, and secure.
- 4. 44 Introduction: Simplified Connectivity Conduit is a lightweight data virtualization tool that unlocks the value of your data in your environment—in one cloud, multi-cloud, on-prem, or any combination. Without writing a single line of code, both relational and non-relational data sources can connect directly to your BI tools or preferred analytics platform. You can also expose datasets as REST APIs for developers and automation initiatives.
- 5. 55 Introduction: Stakeholder Efficiency Light Tool to help IT address data governance and pipeline development cycles Engineering Efficiency Engineering teams can quickly curate and productionalize new data sets without disrupting existing data pipelines. Business Analysis Speed Move faster and develop insights in real time with access to all your companies’ data sources. Data Scientists Feed your data teams with access to all data sets from a single and trusted source from across your enterprise.
- 7. 77 Use Case: Advanced Analytics Scenario: A national retailer has a massive chain of stores with substantial complexity in their inventory and supply chain management processes. Inefficiencies in ordering and out- of-stock situations drive up costs and account for significant loss of revenue.
- 8. 88 Use Case: Advanced Analytics Before Conduit Running forecasting models against large-scale data sets took days, creating backup for inventory management and leading to stock-out and inventory issues. After Conduit Forecasting models run in hours utilizing a GPU-enabled query engine, thereby increasing the speed and accuracy of decision-making, driving costs down and revenue up.
- 9. 99 Use Case: Advanced Analytics Conduit benefits include: • Increase the velocity of business utilization. • Reduce uncertainty in decision-making by validating assumptions with real-time data. • Enable leadership to better manage risk by using accurate information and data-based predictions.
- 10. 1010 Use Case: Data Integration Scenario: A large automotive manufacturer needed to leverage sales and inventory data stored in several SQL and NoSQL databases to drive their outbound marketing. Without the ability to easily connect source data to their preferred visualization tools, the manufacturer struggled to optimize revenue-generating campaigns.
- 11. 1111 Use Case: Data Integration Before Conduit Heavy, costly data virtualization products and time-consuming custom workarounds quickly grew complex due to the necessary rounds of testing and continuous configuration. After Conduit The need for custom engineering and complex workarounds is eliminated. Analysts and data scientists can efficiently and securely explore data to create accurate predictive marketing campaigns.
- 12. 1212 Use Case: Data Integration Conduit benefits include: • Access your data from a single, consistent source. • Decrease or eliminate the need to rely on engineering resources. • Save time and money by reducing administrative overhead. • Equip end users at any experience level.
- 13. 1313 Use Case: Data Availability Scenario: A large, online travel provider is implementing a multi-cloud IT strategy to mitigate operational risks. As datastores transition from one platform to another, connectivity needs to be maintained so reporting and other operational analytics are available during project execution.
- 14. 1414 Use Case: Data Availability Before Conduit When planning for datastore migration from one cloud provider to another, the IT organization struggled to minimize reporting downtime and accommodate eventual delays in project execution. After Conduit Connectivity is dramatically simplified for the business. A single data connection providing access across multiple locations allows IT to migrate data in the most efficient way possible without impacting business access.
- 15. 1515 Use Case: Data Availability Conduit benefits include: • Minimize application downtime and insulate users from service interruptions. • Maximize existing investments by migrating incrementally. • Reduce organizational risk utilizing a flexible data migration strategy.