Big Data made Easy with a Spark
In this practical (almost hands-on) session, we will see how we can use Java and Apache Spark to connect to existing databases and Open Data, ingest data, and run our very first Machine Learning algorithm! We will demystify the "magic" behind Big Data analytics and jump into a pragmatic way to build our use-case. Audience: Software engineers who want to learn about Apache Spark. Java knowledge is desirable but not required. Key Takeaways: Basics about Apache Spark – 20%. Walking through a complete scenario – 80%.
About Jean Georges Perrin
Jean Georges Perrin "jgp" is passionate about software engineering and all things data, small and big data. His latest endeavors bring him in the Apache ecosystem, with a definite penchant for Spark and more and more Data Science. He is proud to have been the first in France to be recognized as an IBM Champion, and to have been awarded the honor for his ninth consecutive year. Jean Georges shares his more than 20 years of experience in the IT industry as a presenter and participant at conferences and through publishing articles in print and online media. His blog is visible at http://jgp.net. When he is not immersed in IT, which he loves, he enjoys exploring his adopted region of North Carolina with his kids.
#Knowledge = ?? ( ? (#SmallData, #BigData), #DataScience) & #Software. #IBMChampion x9. #KeepLearning. @ http://jgp.net