Remove 2014 Remove Data Engineering Remove Data Visualization
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5 Ingenious Tips For A Promising Big Data Career

Smart Data Collective

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. However, the future is now. The market for Hadoop jobs increased 58% in that timeframe.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies. Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses.

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10 takeaways from 10 years of data science for social good

DrivenData Labs

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Prominent use cases focused on marketing and content recommendations.

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Analyzing the history of Tableau innovation

Tableau

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog. Visual encoding innovation.

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Analyzing the history of Tableau innovation

Tableau

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog. Visual encoding innovation.

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