Introduction to the summer school on Clouds and Big Data 2015 Seif - PowerPoint PPT Presentation

Introduction to the summer school on Clouds and Big Data 2015 Seif ¡Haridi ¡ KTH/SICS ¡

Big Data a collection of massive amount of information whether structured or unstructured Big Compute large scale processing required to extract value from Big Data Machine Learning algorithms to discover patterns and hidden concepts implicit in data Predictive analytics using machine learning to predict future outcome or unknown data points Summer School 2015 2

Objectives (Scientific) § Understand the state-of-art of technology in the area of Big Data analytics § Systems for massive data § Algorithms for massive data Summer School 2015 3

Objectives (Industrial) § Get to know how the emerging technology creates new business opportunities § Use cases § Work out your own business ideas Summer School 2015 4

What makes Big Data and Data Science relevant today ? § Rapid growth of massive datasets § Online activity, Science, Sensors, Networks Summer School 2015 5

What makes Big Data and Data Science relevant today ? § Distributed Clusters are Pervasive (clouds) § Maturity of Big data storages and processing technologies § Mature Methods for Common Problems e.g., classification, regression, collaborative filtering, clustering Summer School 2015 6

What makes Big Data and Data Science relevant today ? § Distributed Clusters are Pervasive (clouds) § Maturity of Big data storages and processing technologies § Mature Methods for deep analytics § classification, regression, collaborative filtering, clustering, graph analytics Summer School 2015 7

So What is BIG data science? Deep ¡ Analy7cs ¡ Massive ¡Data ¡ Machine ¡ learning ¡ graph ¡analy7cs ¡ ¡ Distributed ¡ Compu7ng ¡ Summer School 2015 8

Program first week Summer School 2015 9

Resources § http://ictlabs-summer-school.sics.se/ § https://canvas.instructure.com/courses/ 940184 Summer School 2015 10