Big Data Demystified

A while ago I entered the challenging world of Big Data. As an engineer, at first, I was not so impressed with this field. As time went by, I realized more and more, The technological challenges in this area are too great to master by one person. Just look at the picture in this articles, it only covers a small fraction of the technologies in the Big Data industry… Consequently, I created a meetup detailing all the challenges of Big Data, especially in the world of cloud. I am using AWS infrastructure to answer the basic questions of anyone starting their way in the big data world. how to transform data (TXT, CSV, TSV, JSON) into Parquet, ORCwhich technology should we use to model the data ? EMR? Athena? Redshift? Spectrum? Glue? Spark? SparkSQL?how to handle streaming?how to manage costs?Performance tips?Security tip?Cloud best practices tips? Some of our online materials: Website: https://amazon-aws-big-data-demystified.ninja/ Meetup: https://www.meetup.com/AWS-Big-Data-Demystified/ https://www.meetup.com/Big-Data-Demystified Facebook Group : https://www.facebook.com/groups/amazon.aws.big.data.demystified/ Facebook page (https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/) Audience: Data Engineers Data Science DevOps Engineers Big Data Architects Solution Architects CTO VP R&D