Remove Big Data Remove Data Processing Remove Data Warehouse Remove Prescriptive Analytics
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

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

AWS Big Data

Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See recorded webinars: Emerging Practices for a Data-driven Strategy. Policy enforcement.

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What Is Embedded Analytics?

Jet Global

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Ideally, your primary data source should belong in this group. Predictive Analytics: If x, then y (e.g., Do what you expect your customers to do.