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Innovations in Computing

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This book presents cutting-edge research, emerging trends, and groundbreaking innovations in the field of computing. It offers insights into real-world applications that leverage computational methods and the ever-evolving landscape of machine learning.This title comprises a selection of papers that reflect a dynamic exchange of ideas in the field of Internet of things, Cloud Computing, Machine ... Read more

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Series series Life Science and Basic Disciplines (German Language)
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This book comprises a selection of articles from the 13th World Conference on Information Systems and Technologies (WorldCIST’25), held from April 15 to 17, 2025, at the Federal University of Santa Catarina, Florianópolis, Brazil.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and the ... Read more

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Stream Processing with Apache Flink

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Data Lake for Enterprises

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A practical guide to implementing your enterprise data lake using Lambda Architecture as the baseKey FeaturesBuild a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the baseDelve into the big data technologies required to meet modern day business strategiesA highly practical guide to implementing enterprise data lakes with lots of ... Read more

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The Year in Tech, 2024: The Insights You Need from Harvard Business Review

by Harvard Business Review, David De Cremer, Richard Florida, Ethan Mollick, Nita A. Farahany ...

Series series HBR Insights Series
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Data Lakehouse in Action

Architecting a modern and scalable data analytics platform

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Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an ... Read more

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Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an
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Machine Learning with the Elastic Stack

Gain valuable insights from your data with Elastic Stack's machine learning features

by Rich Collier, Camilla Montonen, Bahaaldine Azarmi ...

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your dataKey FeaturesIntegrate machine learning with distributed search and analyticsPreprocess and analyze large volumes of search data effortlesslyOperationalize machine learning in a scalable, production-worthy wayBook DescriptionElastic Stack, ... Read more

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Building Big Data Pipelines with Apache Beam

Use a single programming model for both batch and stream data processing

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The Ultimate Guide to Snowpark

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Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowflake Snowpark using PythonKey FeaturesGet to grips with Snowflake Snowpark’s basic and advanced featuresImplement workloads in domains like data engineering, data science, and data applications using Snowpark with PythonDeploy Snowpark in production with practical examples and best ... Read more

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