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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. Today, Microsoft’s Power BI leads the market of BI-a-a-S, being an excellent tool for data collection, analyzing and visualization. Advantage: unpaired control over data. .

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Recently published in 2021, “SQL for Data Scientists” by author and experienced data scientist, Rénee Teate, teaches its readers all the skills that data scientists use the most in their daily work.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

We discuss how to visualize data quality scores in Amazon DataZone, enable AWS Glue Data Quality when creating a new Amazon DataZone data source, and enable data quality for an existing data asset. If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane.

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Enterprise Reporting: The 2020’s Comprehensive Guide

FineReport

It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. It may offer a range of interactivity, so users can find business problems and make data-driven decisions via the reports. The central one is the data visualization technology at the display level. FineReport Architecture.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on. Deep Learning for Image Analysis.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling. million a year.