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What is data analytics? Analyzing and managing data for decisions

CIO

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Analytics 338
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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. An especially problematic example of unintended consequences involves the use of big data in trial sentencing. If y ou have good intentions, you can make it very good.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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Top Data science books you should definitely read

Apiumhub

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

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Hire ETL Developer in Ukraine

Mobilunity

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Now, let’s find out what specific optimization possibilities analytics can provide in each supply chain element. Optimization opportunities offered by analytics. Analytics in planning and demand forecasting. Analytics in procurement and contract management. Assemble the data team. Everything starts with a plan.

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Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.