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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Here’s How To Implement Manufacturing Analytics Today

Smart Data Collective

Big data is everywhere , and it’s finding its way into a multitude of industries and applications. One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant.

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15 Best Data Analysis Tools You Can’t Miss in 2022

FineReport

FineBI is a business intelligence tool for self-service big data analysis and data visualization. Most data analysts are very familiar with Excel because of its simple operation and powerful data collection, storage, and analysis. SAS Forecasting. From SAS Forecast Server. Free Download.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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How Jabil is building better, faster enterprise reporting

IBM Big Data Hub

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data to provide a central approach to management. The integrated solution automatically handles reporting, analysis, planning and forecasting. Overall, the solution turns a massive data collection effort into a push-button activity.

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Top 10 Key Features of BI Tools in 2020

FineReport

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Some people pay attention to functions and interaction effects, such as data collection, image and video collection, positioning, linkage and drilling on the mobile devices.

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What is a Data Pipeline?

Jet Global

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).