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Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

It advocates decentralizing data ownership to domain-oriented teams. Each team becomes responsible for its Data Products , and a self-serve data infrastructure is established. This enables scalability, agility, and improved data quality while promoting data democratization.

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Augmented analytics

Dataconomy

Key features of augmented analytics A variety of features distinguish augmented analytics from traditional data analytics models. Smart data preparation Automated data cleaning is a crucial part of augmented analytics. It involves processes that improve data quality, such as removing duplicates and addressing inconsistencies.

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The power of accurate data: How fidelity shapes the business landscape?

Dataconomy

In retail, complete and consistent data is necessary to understand customer behavior and optimize sales strategies. Without data fidelity, decision-makers cannot rely on data insights to make informed decisions. Poor data quality can result in wasted resources, inaccurate conclusions, and lost opportunities.

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26 Tableau Features to Know from A to Z

Tableau

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

Gartner has again recognized Tableau as a Leader—for our ninth consecutive year. . I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. With your input, we released more than 200 new capabilities across the Tableau platform in 2020.

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The power of accurate data: How fidelity shapes the business landscape?

Dataconomy

In retail, complete and consistent data is necessary to understand customer behavior and optimize sales strategies. Without data fidelity, decision-makers cannot rely on data insights to make informed decisions. Poor data quality can result in wasted resources, inaccurate conclusions, and lost opportunities.