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This means that they use a datamodel that minimizes redundancy and ensures data consistency. Low data latency: OLTP systems offer low data latency and provide real-timedata updates, ensuring immediate availability of updated data to users.This is important for applications that require real-timedata access and responsiveness.
By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing datamodels and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.
Data Ingestion Layer: The data journey in a cloud data warehouse begins with the data ingestion layer, which is responsible for seamlessly collecting and importing data. This layer often employs ETL processes to ensure that the data is transformed and formatted for optimal storage and analysis.
Data Governance Data governance provides strategic oversight and a framework to ensure that data is treated as a valuable asset and managed in a way that aligns with organizational goals and industry best practices. It ensures data quality, consistency, and compliance with regulations.
Boost Profitability : Eliminate inefficiencies and optimize resource allocation based on real-timedata. Angles’ cross-process reporting breaks through the silos and combines data from multiple functions to provide insights across your business. Making strategic decisions backed by hard data.
Finance teams who struggle to meet the demand for recurring operational reports are increasingly adopting Oracle ERP Cloud for ease of access to real-timedata. Our rich visualizations, including tabular and pivot reporting, are ideal for presenting financial and operational reporting data.
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