Learn how to work with Big Data with Hadoop and Spark! Join our workshop on Working with Big Data with Hadoop and Spark which is a part of our workshops for Ukraine series. 

Here’s some more info:

Title: Working with Big Data with Hadoop and Spark

Date: Thursday, May 18th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Jannic Cutura is an economist turned data engineer turned software engineer who works as a Python developer at the European Central Bank’s Stress Test team. Prior to his current position he worked as research analyst/data engineer in the financial stability and monetary policy divisions of the ECB. He holds a masters and Ph.D. in quantitative economics from Goethe University Frankfurt and conducted research projects at the BIS, the IMF and Columbia University.

Description: Big data — datasets that are difficult to handle on standalone retail-grade computers — are rapidly becoming the norm in social science research. This is true both in academia as well as for policy-oriented research in central banks and similar bodies (let alone industry application). Yet traditional econometrics (and econometrics training) tells us little about how to efficiently work with large datasets. In practice, any data set larger than the researchers computer memory (~20- 30GB) is very challenging to handle as, once that barrier is crossed, most data manipulation tasks becomes painfully slow and prone to failure. The goal of this presentation is to (i) explain what happens under the hood when your computer gets slow and (ii) show how distributed computing (in particular Hadoop/Spark) can help to mitigate those issues. By the end, participants will understand the power of distributed computing and how they can use it to both tackle existing data handling challenges and as well as new ones that were previously prohibitively expensive to evaluate on retail grade computers. The workshop will both contain a theory part and a lab session using data bricks. If you want to follow along during the live session you can create your own free account at data bricks by signing up for the community edition (no credit card required).

Minimal registration fee: 20 euro (or 20 USD or 800 UAH)

How can I register?

• Go to https://bit.ly/3wvwMA6 or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.

How can I sponsor a student?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.

Looking forward to seeing you during the workshop!