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Financial Dashboard: Definition, Examples, and How-tos

FineReport

The financial KPI dashboard presents a comprehensive snapshot of key indicators, enabling businesses to make informed decisions, identify areas for improvement, and align their strategies for sustained success. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

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Data Observability and Monitoring with DataOps

DataKitchen

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

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AWS Glue streaming application to process Amazon MSK data using AWS Glue Schema Registry

AWS Big Data

Acting as a bridge between producer and consumer apps, it enforces the schema, reduces the data footprint in transit, and safeguards against malformed data. AWS Glue is an ideal solution for running stream consumer applications, discovering, extracting, transforming, loading, and integrating data from multiple sources.

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Cloud Data Warehouse Migration 101: Expert Tips

Alation

“Cloud data warehouses can provide a lot of upfront agility, especially with serverless databases,” says former CIO and author Isaac Sacolick. There are tools to replicate and snapshot data, plus tools to scale and improve performance.” Data quality /wrangling. Ability to move out/costs of data egress.

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What’s the State of Data Governance and Empowerment in 2021?

erwin

Data Governance Definition Varies. There is still no consensus on how to define data governance. When asked for a definition, the two most popular responses were: Building a set of policies that governs data. Ensuring data usage follows defined rules. Key Bottlenecks and Challenges. Other Key Findings.

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What’s the State of Data Governance and Empowerment in 2021?

erwin

Data Governance Definition Varies. There is still no consensus on how to define data governance. When asked for a definition, the two most popular responses were: Building a set of policies that governs data. Ensuring data usage follows defined rules. Key Bottlenecks and Challenges. Other Key Findings.