AnnotationStreaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely …
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of …
Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build …
Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and …
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source …
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This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data …
Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how …
Implement, run, operate, and test data processing pipelines using Apache BeamKey FeaturesUnderstand how to improve usability and productivity when implementing …
Large Scale and Big data: Processing and Management provides readers with a central source of reference on the data management …
Due to the increasing availability of affordable internet services, the number of users, and the need for a wider range …
