Remove 2014 Remove Data Visualization Remove SQL
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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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How to optimize your LinkedIn as a Data Scientist?

Pickl AI

For example, if you are a Data Scientist, then you should add keywords like Python, SQL, Machine Learning, Big Data and others. These are some of the key skills that one needs to have if you are eyeing a fulfilling career as a Data Scientist. Highlight Your Experience Don’t miss this part. Wrapping it up !!!

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How to choose a graph database: we compare 6 favorites

Cambridge Intelligence

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. Many of our customers successfully build fast and scalable graph visualization applications without a graph database. With data stored as a graph, it makes sense to query it as a graph too. .”

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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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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation. The Data Tab was added in v8.2

Tableau 145
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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation. The Data Tab was added in v8.2

Tableau 98