Top 3 Data Integration Trends That Makes ETL Obsolete in Retail
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Top 3 Data Integration Trends That Makes ETL Obsolete in Retail

By Retail CIO Outlook | Monday, December 02, 2019

Data integration services should be used by companies to ensure that they can make the best use of resources.

FREMONT, CA: With the emergence of new cloud-based native technologies and frameworks, traditional methods such as ETL are becoming outdated in developing a data warehouse. ETL is a type of data integration that refers to extracting, transforming, and loading data mixing activities. The amount of data has expanded enormously over time so that ETL has lost its significance and is now one of the organizing methods that are used to collect, import, and process data. Here are some of the emerging trends replacing ETL.

Unified Data Management (UDM) Architecture

It provides a comprehensive system of information that businesses of all sizes can use to achieve their business goals. The UDM system helps create a single information narrative within a data warehouse by integrating different data sources. It fosters interdepartmental cooperation by creating a centralized data repository that analyzes, cleanses and analyzes company data to generate actionable insights. UDM is a cost-effective method that allows companies to manage the vast data sets. Cloud, on-site or hybrid data infrastructures can also be optimized to optimize data for business applications.

Machine Learning

Machine learning can perform almost all the discovery and relationship-related work related to the development of data warehouse, data lake, and search indexes. It can be used to detect anomalies and to discover the structure. Machine learning is the basis for the implementation of smart data that will follow a No-ETL approach which embraces both structured and unstructured data.

Event-Driven Data Flow Architecture

A growing number of businesses is adopting the approach of event-driven architecture as it helps to offer real-time actionable insights and solutions. It is used to create highly scalable software. It is also highly adaptable and can be used for small and large, complex applications. When companies make greater use of information integration, decentralized messaging system, and implementing new concepts helps to identify information flow trends better.

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