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Busting the “Excel is dead” Myth!

Analysts Corner

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. This is on top of the data analysis that I have done using SQL or profiling tools such as Alteryx.

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Overcoming Snowflake Migration Challenges: A Complete Guide

Astera

Send Data From 40+ Sources To Snowflake Within Minutes View Demo Organizational Challenges Finally, there can be organizational challenges to Snowflake migration. These include cultural change, skillset, and change management. These include data mapping and transformation, data quality checks, and automated testing.

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Delivering the Right Data to the Right User in the Right Format is the Key to Success for Data Architects, Engineers, and DBAs

Actian

The most effective data solutions are formed by generalizing your user community into a few key groups by skillset and role objectives, data consumption habits and applied tools associated with those data needs, and then deploying the right set of solutions for each group.

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DNV Illuminates the Utilities Industry with Insights and Data

Sisense

Utilities employ skilled professionals as knowledge workers, but creating a simple, visual way to analyze their data is a hard skillset to find in abundance. It started with implementing data validation rules, including basics like only accepting numbers for numerical inputs, etc.

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

Data Pine

For experienced learners looking to broaden their skillset within the field, this is one of the best books for SQL on the planet. Clothier offers an actionable means to take your skillset up a notch and apply your newfound knowledge to a host of real-world scenarios or situations. Viescas, Douglas J. Steele, and Ben J.

IBM cost 117
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Why you need a project analyst

Monday

Data analysis. Poor data quality costs businesses millions of dollars every year. Since projects are central to organizational success, the project analyst should be adept at data analysis. Depending on the organization, and the analyst’s skillset, they may step in and help with specific project tasks too.

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Top 7 Data Replication Software in 2023

Astera

Data Transformation and Validation : Astera features a library of in-built transformations and functions, so you can easily manipulate your data as needed. It also includes data quality features to ensure the accuracy and completeness of your data.