Name:
Big Data: Journal Introduction
Description:
Big Data: Journal Introduction
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Duration:
T00H02M17S
Embed URL:
https://stream.cadmore.media/player/677de96b-8807-4fb5-a840-2ee3a77777c6
Content URL:
https://cadmoreoriginalmedia.blob.core.windows.net/677de96b-8807-4fb5-a840-2ee3a77777c6/Intro - BIG.mp4?sv=2019-02-02&sr=c&sig=w6q61FLbhKTpFy%2FeVMpTl85aavklkdHLqhw6hbfUzQE%3D&st=2024-04-29T00%3A27%3A05Z&se=2024-04-29T02%3A32%3A05Z&sp=r
Upload Date:
2023-10-19T00:00:00.0000000
Transcript:
Language: EN.
Segment:0 .
[MUSIC PLAYING]
SPEAKER 1: Big Data, under the editorial leadership of Editor In Chief Zoran Obradovic, PhD, Temple University, and other leading investigators, is the leading peer reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, analysts, data scientists, and physicists, among others, to improve operations, profitability, and communications within their businesses and institutions.
SPEAKER 1: Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes big data industry standards, new technologies being developed specifically for big data, data acquisition, cleaning, distribution, and best practices, data protection, privacy, and policy, business interests from research to product, the changing role of business intelligence, visualization and design principles of big data infrastructures, physical interfaces and robotics, social networking advantages for Facebook, Twitter, Amazon, Google, et cetera, and opportunities around big data and how companies can harness it to their advantage.
SPEAKER 1: The target audience for Big Data includes data miners, computer scientists, statisticians, researchers, chief data scientists, database engineers, software engineers, web developers, policymakers, CEOs of data startups, professors of computer science, mathematics, physics, statistics, and computational biology, among others. Use the links on this page to subscribe to Big Data. Sign up to receive tables of content alerts.
SPEAKER 1: And share the information on this page with a colleague. Big Data, the leading peer reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. [MUSIC PLAYING]