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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. Data is useless without the opportunity to visualize what we are looking for.

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Webinar: Visualising Your Azure SQL Data Warehouse with Power BI

BI Insight

You can register and subscribe for Pass upcoming events here. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. The post Webinar: Visualising Your Azure SQL Data Warehouse with Power BI appeared first on BI Insight. You can register here.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Data Mining Techniques and Data Visualization.

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Webinar: Visualising Your Azure SQL Data Warehouse with Power BI

BI Insight

You can register and subscribe for Pass upcoming events here. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. The post Webinar: Visualising Your Azure SQL Data Warehouse with Power BI appeared first on BI Insight. You can register here.

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Building Bridges: Data and BI Teams Partnering on an Analytics Solution

Sisense

Big data is now modeled and queried using advanced coding languages like SQL, Python, and R. And rather than answering prescriptive questions — something that BI teams excel at — data teams are able to model future events and understand how changing a past variable could have affected the present.

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GA4 vs Universal Analytics: Move your Data Today

Astera

Data Visualization : Explorations contain multiple report formats. Create a visual representation best suited to your data requirements to deliver insights to stakeholders effectively. Collaboration : Easily share custom-built reports with team members and stakeholders to make informed, data-driven decisions.

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Data Science vs Data Analytics: Key Differences

Astera

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It focuses on answering predefined questions and analyzing historical data to inform decision-making. Data warehouses and data lakes play a key role here.