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Spark for Data Science

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  • Consolidate, clean, and transform your data acquired from various data sources
  • Perform statistical analysis of data to find hidden insights
  • Explore graphical techniques to see what your data looks like
  • Use machine learning techniques to build predictive models
  • Build scalable data products and solutions
  • Start programming using the RDD, DataFrame and Dataset APIs
  • Become an expert by improving your data analytical skills

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.

Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.

With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.

  • Perform data analysis and build predictive models on huge datasets that leverage Apache Spark
  • Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges
  • Work through practical examples on real-world problems with sample code snippets
Page Count 344
Course Length 10 hours 19 minutes
ISBN 9781785885655
Date Of Publication 29 Sep 2016


Bikramaditya Singhal

Bikramaditya Singhal is a data scientist with about 7 years of industry experience. He is an expert in statistical analysis, predictive analytics, machine learning, Bitcoin, Blockchain, and programming in C, R, and Python. He has extensive experience in building scalable data analytics solutions in many industry sectors. He also has an active interest on industrial IoT, machine to machine communication, decentralized computation through Blockchain and Artificial Intelligence.

Bikram currently leads the data science team of ‘Digital Enterprise Solutions’ group at Tech Mahindra Ltd. He also worked in companies such as Microsoft India, Broadridge, Chelsio Communications and also cofounded a company named ‘Mund Consulting’ which focused on Big Data analytics.

Bikram is an active speaker in various conferences, summits and meetups on topics such as big data, data science, IIoT and Blockchain.

Srinivas Duvvuri

Srinivas Duvvuri is currently Senior Vice President Development, heading the development teams for Fixed Income Suite of products at Broadridge Financial Solutions (India) Pvt Ltd. In addition, he also leads the Big Data and Data Science COE and is the principal member of the Broadridge India Technology Council. He is self learnt Data Scientist. The Big Data /Data Science COE in the past 3 years, has successfully completed multiple POC’s and some of the use cases are moving towards production deployment. He has over 25+ years of experience in software product development. His experience spans predominantly in product development in, multiple domains Financial Services, Infrastructure Management, OLAP, Telecom Billing and Customer Care, CAD/CAM. Prior to Broadridge, he’s held leadership positions at a Startup and leading IT majors such as CA, Hyperion (Oracle), Globalstar. He has a patent in Relational OLAP.

Srinivas loves to teach and mentor budding Engineers. He has established strong Academic connect and interacts with a host of educational institutions, He is an active speaker in various conferences, summits and meetups on topics such as Big data, Data Science

Srinivas is a B.Tech in Aeronautical Engineering and M.Tech in Computer Science, from IIT, Madras.