Big Data Analytics
EIT Digital Infrastructure Summer School
|||August 5 - August 18||Apply now|
A key element in the digital transformation of infrastructure is the convergence and integration of intelligent networking and computing services for data analysis.
Our global interconnected world presents us with vast amounts data, that is continuously being generated by countless devices and sensors. To extract knowledge and react on patterns hidden within this never-ending stream of Big Data, we must rethink the way we process data at-rest and data in-motion.
It is a challenge to provide core enabling functions for extracting value from the massive amounts of generated data to support breakthrough innovations in industry segments like utilities, manufacturing and health.
This Summer School in Big Data Analytics focuses on business aspects, value chain, technology, safety and security of the future cloud. Advanced topics related to algorithms and platforms for Big Data are part of the course as well as business coaching for enhancing the innovation and entrepreneurial awareness and abilities of the participants.
Presentations by researchers on Big Data analytics and platforms are mixed with corporate experts on business models. The Summer School will be held at Bosön Conference site, Lidingö, Sweden
Summer School Fee
|Category||Fee 1 week||Fee 2 weeks||Accommodation||Travel|
|EIT Digital Doctoral students||Not Applicable||Mobility Allowance||Incl||Incl|
|Students, ARISE countries||Not Applicable||Stipend||Incl||Incl|
|Students, other universities (incl. partner universities)||Not Applicable||€750||€250||Excl|
|EIT Digital Alumni||€1.4001||€1.9601||Excl2||Excl|
|Professionals, partner companies3||€1.4001||€1.9601||Excl2||Excl|
|Professionals, external companies||€1.750||€2.450||Excl2||Excl|
- Discount 20%
- Offer to join EIT Digital master student's hotel EIT at a price of €250 (shared room for 12 nights)
- EIT Digital member companies
- Students must attend 2 weeks
Summer School programme
Throughout the first week of the course we will cover all range of topics starting from simple MapReduce programming models and Hadoop Ecosystem all the way to the state-of-the-art in stream processing. The participants will get acquainted with one of the most popular frameworks for Big Data analytics: Apache Spark.
The goal of this first week is to make you acquainted with the latest platforms, frameworks and algorithms for Big Data analytics, which will empower you to successfully address the challenges in your professional endeavors.
You will learn different components of Hadoop ecosystem: Hadoop File System (HDFS), and MapReduce programming, as well as basics of Apache Spark. At the end of the training you will be able to perform Big Data Analytics tasks using the frameworks and tools presented in the course.
The second week you will continue with team work turning the business idea into a viable business plan with start-up strategy, marketing and financial planning. You and your team will present a business plan at the end of the week in a final pitch in front of a business panel.
To bring the Summer School participants up to the same level of the basic understanding of Innovation and Entrepreneurship topics, an online starter-kit will be sent out before entering the following Summer School 2018.
If you are from the business community or the EIT Digital Alumni network, you have the possibility to choose to participate only the first week or complete the full two-week course.
Stipends (scholarships) are available for students enrolled at a university and who have a nationality in one of the following 14 European countries (ARISE): Bulgaria, Croatia, Czech Republic, Cyprus, Estonia, Greece, Latvia, Lithuania, Malta, Poland, Portugal, Romania, Slovakia, Slovenia. Stipends (scholarships) for Summer School students from these countries include all costs (fee, travel, lodging and catering). Please indicate your nationality.
Please note, if you apply for a stipend the last application date is 15 May, 2018. A stipend is given for one occasion only.
Registration for stipends application is closed.
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