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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

One-time and complex queries are two common scenarios in enterprise data analytics. These complex queries typically involve data sources from multiple business systems, requiring multilevel nested SQL or associations with numerous tables for highly sophisticated analytical tasks.

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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. In practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning.

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Implement historical record lookup and Slowly Changing Dimensions Type-2 using Apache Iceberg

AWS Big Data

History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. Anytime when you need SCD Type-2 snapshot of your Iceberg table, you can create the corresponding representation. You can obtain the table snapshots by querying for db.table.snapshots.

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Harnessing the Power of Nested Materialized Views and exploring Cascading Refresh

AWS Big Data

Common use cases include: Modular data transformation pipelines Hierarchical aggregations for progressive analysis Multi-level data validation pipelines Historical data snapshot management Optimized BI reporting with precomputed results Architecture Architectural diagram depicting Amazon Redshift’s nested materialized view structure.

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ERP modernization: Still a make-or-break project for CIOs

CIO Business Intelligence

Overcoming ERP transformation challenges Recognizing its on-prem ERP/warehouse management system was no longer meeting its financial needs from a reporting and analytics perspective, healthcare company LeeSar is in the throes of modernizing by migrating to Oracle Fusion.

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Smarten Support Portal Updates – June – 2025!

Smarten

We are here to help and to support your business goals and success!

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CIOs must mind their own data confidence gap

CIO Business Intelligence

Its not surprising to see the differences when C-level executives tend to receive PowerPoint-level snapshots of IT problems, including data quality, says Timothy Bates, a professor in the College of Innovation and Technology at the University of Michigan Executives see dashboards clean, aggregated, polished, Bates says.