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BCT Digital’s rt360 EWS is designed for flexibility, integrating both traditional methods, such as ETL, database links and flat files, and modern approaches, such as application programming interfaces (APIs) and streaming feeds. by Smruthi Nadig Non-performing assets (NPAs) have long plagued India’s banking and financial services sector.
In a recent webinar hosted by Fintech Nexus, Doug Lopp, CTO of Bend by FNBO, remarked on the role of technology in today’s financial services organizations: “Business and technology are starting to align much more closely than they ever have before, to the point where they are indistinguishable.
You have to make sure that your ETLs are locked down. Then there’s dataquality, and then explainability. Arize AI The third pillar is dataquality. And dataquality is defined as data issues such as missing data or invalid data, high cardinality data, or duplicated data.
They may also be involved in data modeling and database design. BI developer: A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and dataquality assurance.
They may also be involved in data modeling and database design. BI developer: A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and dataquality assurance.
Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.
Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.
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