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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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How to Design an Analytics Stack that Humans Actually Use

Alation

percent) cite culture – a mix of people, process, organization, and change management – as the primary barrier to forging a data-driven culture, it is worth examining data democratization efforts within your organization and the business user’s experience throughout the data analytics stack. Humans are explorers at heart.

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Addressing the Elephant in the Room – Welcome to Today’s Cloudera

Cloudera

This includes running analytics at the edge, supporting multi-cloud environments, treating Apache Iceberg as a first-class citizen, and introducing many more innovations like data observability. The Future of Enterprise AI, Delivered Today If the Big Data era was this century’s gold rush, then AI is the next moon shot.

Big Data 103
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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

Our vision for the data lake is that we want to be able to connect every group, from our genetic center through manufacturing through clinical safety and early research. That’s hard to do when you have 30 years of data.” At the data pipeline level, scientists use Apigee, Airflow, NiFi, and Kafka.

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Sunil Mudgal, Advisor – Talent Analytics, BRIDGEi2i Participates in NASSCOM Webinar on Modern Employee Experience

bridgei2i

The webinar will throw light on the role of AI and data analytics, performance management and reward systems, Employee Stock Ownership Plans(ESOPs) and the talent acquisition and onboarding process in the future workplaces. Register here. Awards & Recognition News & Updates. www.BRIDGEi2i.com.

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BRIDGEi2i Mentioned as Top 10 Data Science companies in India to work for 2020

bridgei2i

Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. For this study, the publication evaluated companies that cover areas of Data Science – Data Analytics, Big Data, Business Analytics, Machine Learning, Artificial Intelligence & Deep Learning.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

Introducing generative AI-powered data descriptions With AI-generated descriptions in Amazon DataZone, data consumers have these recommended descriptions to identify data tables and columns for analysis, which enhances data discoverability and cuts down on back-and-forth communications with data producers.

Metadata 101