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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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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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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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with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for;
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Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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, 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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Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides;
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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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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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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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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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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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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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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 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 is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by;
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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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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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science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and;
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science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and;
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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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more complex tasks with predictive analytics on big data using machine learning * Learn real time analytic tasks * Understand the concepts;
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. 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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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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perspectives on how big data and business analytics are increasingly essential in better decision making. This edited work explores the;
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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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