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Hands-On Big Data Analytics with PySpark

the various PySpark offerings and also optimize them effectively. What you will learn Get practical big data experience while working on messy;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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PySpark Cookbook

with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Data Science Solutions with Python

, and then it examines big data frameworks along with ML and DL frameworks. Author Tshepo Chris Nokeri considers a parametric model known as the;

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PySpark SQL Recipes

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides;

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Practical Big Data Analytics

theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Analytics for Insurance

professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous;

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Big Data Analytics with Hadoop 3

effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Applied Data Science Using PySpark

of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical;

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Applied Data Science Using PySpark

Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples;

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Big Data Analytics for Internet of Things

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;

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Big Data Analytics with R and Hadoop

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by;

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Win With Advanced Business Analytics

of industries * Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and;

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Business Analytics

in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge;

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Big Data Analytics

science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and;

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Big Data Analytics

science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and;

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Big Data, Data Mining, And Machine Learning

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to;

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Big Data Analytics with Java

more complex tasks with predictive analytics on big data using machine learning * Learn real time analytic tasks * Understand the concepts;

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Big Data Analytics

. Focusing on the business and financial value of Big Data analytics, technical guru Frank Ohlhorst shares his insights on this newly emerging field;

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Big Data Analytics for Intelligent Healthcare Management

in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine;

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Data Science & Business Analytics

perspectives on how big data and business analytics are increasingly essential in better decision making. This edited work explores the;

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Creating Value with Big Data Analytics

with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution;

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