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

Introduction to the summer school

• n 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

2 Summer School 2015

Objectives (Scientific)

§ Understand the state-of-art of technology in the area of Big Data analytics § Systems for massive data § Algorithms for massive data

3 Summer School 2015

Objectives (Industrial)

§ Get to know how the emerging technology creates new business

• pportunities

§ Use cases § Work out your own business ideas

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

5 Summer School 2015

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

6 Summer School 2015

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

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So What is BIG data science?

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Distributed ¡ Compu7ng ¡ Massive ¡Data ¡ Deep ¡ Analy7cs ¡

Machine ¡learning ¡

graph ¡analy7cs ¡ ¡

Program first week

9 Summer School 2015

Resources

§ http://ictlabs-summer-school.sics.se/ § https://canvas.instructure.com/courses/ 940184

10 Summer School 2015