- Perform info research and construct predictive versions on large datasets that leverage Apache Spark
- Learn to combine facts technology algorithms and strategies with the quick and scalable computing good points of Spark to deal with monstrous info challenges
- Work via useful examples on real-world issues of pattern code snippets
This is the period of massive info and web of items! great facts implies mammoth innovation and allows a aggressive virtue for companies. Apache Spark used to be designed to accomplish sizeable facts analytics at scale, and so Spark is supplied with the mandatory algorithms and helps a number of programming languages.
Whether you're a technologist, a knowledge scientist, or a newbie to important facts analytics, this ebook gives you all of the abilities essential to practice statistical information research, info visualization, predictive modeling, and construct scalable information items or options utilizing Python, Scala, and R.
With plentiful case experiences and real-world examples, Spark for info technology may help you make sure the winning execution of your information technology projects.
What you'll learn
- Consolidate, fresh, and rework your info got from numerous facts sources
- Perform statistical research of information to discover hidden insights
- Explore graphical innovations to determine what your info appears to be like like
- Use desktop studying concepts to construct predictive models
- Build scalable information items and solutions
- Start programming utilizing the RADD API
- Become a professional via bettering your facts analytical skills
About the Author
Bikramaditya Singhal works as a Senior facts technological know-how Analyst with Broadridge monetary recommendations (India) Pvt. Ltd. He has over 6 years of expertise in statistical research, laptop studying, and in addition in constructing, designing, and architecting data-driven solutions.
His ardour for know-how and utilized arithmetic propelled him to pursue a occupation in information technology. he's a powerful believer in non-stop innovation. He labored with Microsoft India and cofounded an organization that gives data-driven insights to consumers globally.
He has been a speaker at quite a few meetings and meetups on information technology, laptop studying, and Apache Spark. His present skillset contains statistical info research, laptop studying, R, Python, Scala, and ETL instruments. With a distinct combination of technology in addition to the know-how point of huge info, he has been instrumental in supplying suggestions to important information analytics problems.
Srinivas Duvvuri is at the moment heading the fastened source of revenue Suite of goods at Broadridge India, and is usually a significant member of the Broadridge expertise Council. additionally, he's fascinated about developing the large facts COE at Broadridge. He has over 22 years of expertise in software program product improvement and engineering advanced, high-performance, scalable, multi-platform software program ideas in line with innovative technologies.
His adventure predominantly spans product improvement in a number of domain names together with monetary prone, infrastructure administration, OLAP, telecom billing, and shopper care. ahead of Broadridge, he held management positions at a start-up and at major IT majors akin to CA, Hyperion (Oracle), and Globalstar, and in addition has a patent in Relational OLAP. Srinivas has a B.Tech in Aeronautics Engineering and an M.Tech in desktop technology, from IIT, Madras.