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Understanding Azure Data Factory

Understanding Azure Data Factory

by Sudhir Rawat, Abhishek Narain

Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into dat...

Price:  $26.26  |  Publisher:  Apress  |  Release:  2019

Learn R for Applied Statistics

Learn R for Applied Statistics

by Goh Hui

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R's syntax, you will work through data visualizations such as histograms and boxplot charting, des...

Price:  $29.23  |  Publisher:  Apress  |  Release:  2019

Machine Learning Using R, 2nd Edition

Machine Learning Using R, 2nd Edition

by Karthik Ramasubramanian, Abhishek Singh

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.As in the first edition, the authors ha...

Price:  $31.74  |  Publisher:  Apress  |  Release:  2019

Numerical Python, 2nd Edition

Numerical Python, 2nd Edition

by Robert Johansson

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computin...

Price:  $35.25  |  Publisher:  Apress  |  Release:  2019

Modern Big Data Processing with Hadoop

Modern Big Data Processing with Hadoop

by Naresh Kumar, Prashant Shindgikar

The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools.This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of...

Price:  $31.99  |  Publisher:  Packt Publishing  |  Release:  2018

Artificial Intelligence for Big Data

Artificial Intelligence for Big Data

by Anand Deshpande, Manish Kumar

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regr...

Price:  $35.99  |  Publisher:  Packt Publishing  |  Release:  2018

Big Data Architect's Handbook

Big Data Architect's Handbook

by Syed Muhammad Fahad Akhtar

The big data architects are the “masters” of data, and hold high value in today's market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights.Big Data Architect's Handbook takes you through developing a complete...

Price:  $54.99  |  Publisher:  Packt Publishing  |  Release:  2018

Big Data Processing with Apache Spark

Big Data Processing with Apache Spark

by Manuel Ignacio Franco Galeano

Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. This book teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming.You'll begin by...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2018

Complete Guide to Open Source Big Data Stack

Complete Guide to Open Source Big Data Stack

by Mike Frampton

See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private cloud and then installs and examines Apache Brooklyn. After that, he uses each chapter to introduce one ...

Price:  $37.75  |  Publisher:  Apress  |  Release:  2018

Next-Generation Big Data

Next-Generation Big Data

by Butch Quinto

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used fo...

Price:  $33.51  |  Publisher:  Apress  |  Release:  2018

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