Big Data tools for advanced users 2nd edition - 2024

Big Data tools for advanced users
Course Leader	Marco Puts
Target Group	IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Entry Qualifications	Sound command of English. Participants should be able to make short interventions and to actively participate in discussions The participants should be computer literate and able to programme in R and/or Python
Objective(s)	Learn how to extract relevant information for statistical purposes from huge amounts of data
Contents	Big data clusters; Cloud computing; Hadoop and MapReduce; Analyzing data in Hadoop with SQL: Hive; Distributed programming with Spark; NoSQL databases; Techniques and tools for extracting data from the web
Expected Outcome	Participants will have a broad overview of modern state of the art techniques for managing and analyzing big data, its tools and infrastructure.
Training Methods	Presentations and lectures Exchange of views/experiences on national practices Exercises
Required Reading	None
Suggested Reading	https://www.python.org/about/gettingstarted/ Singh D, Reddy CK. A survey on platforms for big data analytics. Journal of Big Data. 2015;2(1):8. doi:10.1186/s40537-014-0008-6. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4505391/
Required Preparation	Participants should have at least some basic programming knowledge, especially in Python and R languages. Knowledge of relational databases are strongly suggested.
Trainer(s)/ Lecturer(s)	Marco PUTS (CBS Netherlands) Martijn Tennekes (CBS Netherlands) Bjoern Ole Mussmann (eScience Center) Donato SUMMA (ISTAT)

1st edition

Practical Information

When

Duration

Where

Organiser

APPLICATION VIA National Contact Point

9 – 11 July 2024

3 days

The Hague,

Netherlands

ICON INSTITUTE

Public Sector GmbH

Deadline: 13.05.2024

2nd edition