Reflect ROI vs Traditional Development
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The document outlines the features and benefits of Dataroad Reflect, a tool designed to expedite high-value analytics and streamline data integration processes. It highlights the inefficiencies of traditional ETL tools and shows how Reflect eliminates manual coding, offers auto-generated staging mappings, and simplifies workflow management through a web-based interface. The tool's capabilities result in reduced timelines and costs for data integration teams, effectively improving the overall data movement process.
Reflect ROI vs Traditional Development
- 1. DATA SHEET / Reflect DataRoad Reflect speeding the process to High Value Analytics Key Features Schema and DDL Repli- cation. Target tables and files auto generated Custom SQL Source Qualifiers Unlimited power via Custom SQL Row-level Filters Simple yet powerful data filter- ing Change Data Capture (CDC) Stream data changes as they occur in your sources Workflow Engine Graph- ically connect mappings with success and failure messaging Target Templates Create data output templates for specific targets Built-in Scheduling Schedule jobs to run on any time, date or fre- quency Data Limits (WAN opti- mization) Throttle data movement to optimize bandwidth Agent-based job scaling Scaling mappings across multiple servers to in- crease performance Web based UI Simplified modern web interface for all user types Reflect ROI vs. Traditional Development Traditionally moving data from source systems to target systems is a slow and tedious development process. This traditional data movement requires lengthy manual coding and significant investment in learning proprietary tools. In manually coding environments, building frameworks for workflow, scheduling and monitoring often require significant invest in time and capability. Without templates or code generation, manual environments create inefficiency's that lengthen the data inte- gration process for months or years. Traditional ETL tools were originally intended to solve much of these manual coding problems. However, ETL tools have evolved into extremely complex, proprietary interfac- es which require years of training and practice to master. Often, these graphical code generators create inefficient or ineffective data movement code. In these cases, develop- ers are forced to manually code overrides and SQL qualifiers to compensate, defeating the key intent of such ETL tools. DataRoad Reflect solves the problems of manually coded data movement and elimi- nates the need for costly proprietary ETL tools. Key features like auto generated staging mapping, scheduling, workflow, parallel processing allows users to focus on high value data integration vs. framework construction. Simplified Web UI keeps coding to a mini- mum, while features like Custom SQL Source Qualifiers gives Reflect power and flexibility without investing in proprietary ETL skills and languages. Reflect reduces the timeline and costs of data integration teams by weeks or even months. Tool Investment Staging Framework: Scheduling, Monitoring Stage Maps Days Weeks Months Years Manual Code ETL Reflect High-Value Maps High-Value ©2017 DataRoad Technologies LLC Typical timeline for 100 Stage maps and 20 Dimensional maps Staging High-Value @dataroadtechContact: [email protected] 1 (872) 903-3775