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Key Features: Interactive Workflow Tool Explore and Graph nodes for visualizing dataAutomated Model Building features Integration with RWorks with Big Data SQL Pros: Seamless integration with the Oracle Database Enterprise Edition. Can handle large volumes of data. Dataquality is a priority for Astera.
It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, dataanalytics, machine learning (ML) , etc. ETL provides organizations with a single source of truth (SSOT) necessary for accurate data analysis. What is Reverse ETL?
Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.
Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.
Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and dataanalytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.
Data Transformation and Validation : Astera features a library of in-built transformations and functions, so you can easily manipulate your data as needed. It also includes dataquality features to ensure the accuracy and completeness of your data.
Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.
While many finance leaders plan to address the skills gap through hiring and employee training and development, a significant percentage of leaders are also looking to dataautomation to bridge the gap.
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