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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

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Effective Report Design: a step-by-step guide

FineReport

Where- Where to publish and put this report? Clarify the report topic and KPIs. e.g., If the topic is ‘income,’ the reports will involve the source of revenue, what factors affect income, income trends, whether KPI of the cycle can be achieved. . Determine the source of the data . Enterprise data warehouse?

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Top 10 Types of Report: Examples and How to Design

FineReport

Where- Where to publish and put this report? Clarify the report topic and KPIs. e.g., If the topic is ‘income,’ the reports will involve the source of revenue, what factors affect income, income trends, whether KPI of the cycle can be achieved. . Determine the source the data . Enterprise data warehouse?

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Implement data quality checks on Amazon Redshift data assets and integrate with Amazon DataZone

AWS Big Data

To learn more, see Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions. In this post, we show how to capture the data quality metrics for data assets produced in Amazon Redshift. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

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Extend Power BI with Custom Visuals

Jet Global

Funnel Plot = Use R visuals and R scripts to find outliers in your data. Dual KPI Chart = Shows two measures over time on a joint timeline. Chord Chart = Displays inter-relationships between data in a matrix. For more Power BI custom visuals samples, check out: [link]. If you’re not sure where to get started, you’re in luck.

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Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia.

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Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia.