Course DATA SCIENCE
ELK Streaming Analytics
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Course DATA SCIENCE
ELK Streaming Analytics

DATA SCIENCE

Course ELK Streaming Analytics

CourseDATA SCIENCEDuration Online

The Big Data streaming analytics Junior Expert is nowadays a professional figure highly sought-after by all the leading companies. Thanks to a knowledge of methodologies and software tools that can analyze real-time data from different and heterogeneous sources, this profile enhances remarkably the range of action of traditional companies.

DATA SCIENCE

Duration: 48

Job Placement

English

Where the Course ELK Streaming Analytics will take place?

City	Promotions	Scholarships	Capacity
Online - October 2021	No promotion at the moment	2 Scholarships available at the moment	10 places available Course capacity: 12

Course ELK Streaming Analytics | DATA SCIENCE duration Online

Scenario
For many years, "Analytics", graphical or tabular representation of data-inferred knowledge, has been the key tool for viewing data and addressing business decisions. However, the use of these tools is limited to areas of analysis where the context evolves slowly over time or where the amount of data managed is relatively small.
In fact, the current hyper-connected world, in which large amounts of data (Big Data) are produced from countless sources, both internal and external to companies, and often with unstructured formats, requires new software tools for data analysis.
"Streaming Analytics" software and frameworks by analyzing and performing actions on real-time data, through the use of continuous queries, fill perfectly this context. Streaming Analytics connects to external data sources and allows existing applications to integrate data or update an external database with processed information.

Modules

This course will start with a text(Log) file or a cvs that contains millions of data rows, and then perform a real-time data ingestion and data cleansing, in all useful ways, without limits. It will be taught how to visualize data in Kibana, how to perform data operation, and how to create a dashboard using Kibana.

The course is structured in 4 main modules that can also be purchased separately:

- BIG DATA ANALYTICS - ELASTICSEARCH;
- BIG DATA COLLECTION & CLEANSING- LOGSTASH;
- BIG DATA MONITORING & VISUALIZATION - KIBANA;

Request an individual interview to know the details of the individual teaching units!

Requirements

The minimum requirements for participation are: basic programming knowledge, basic knowledge of scripting languages, basic knowledge of XML, basic knowledge of linux systems.
It will be possible to decide a training process with the Academy Management or to get access to the basic Big Data Entry Level module.

Learning outcomes

A solid background that allows you to acquire a comprehensive know-how of the Project Management cycle, including requirements analysis, application development, testing and inspection. Furthermore, the capacity to develop new Web technologies and BIG Data analytics.

Equipment and Note

Minimum equipment:
CPU dual core 64-bit on x86-64
RAM 4GB
Suggested:
i3-4th or i5-3rd CPU or higher (3mb cache L3 e.g. i5-4210m)
Ram 8gb or more
Screen resolution 1920*1080
Software: during the course, a virtual machine with pre-installed software or the possibility to install a software will be provided.

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Course Teachers

Alessandro

Docente Geeks Academy

Esperto OSINT, Consulente CTU e CPU

Cyber Security, Risk Management, GDPR

Alessandro Sigismondi is an expert in cybersecurity, risk management and corporate privacy. Owner of the AS Consulting studio, he carries out his business dealing with adjustments for companies in the field of privacy and cyber security.

He is a OSINT-Open Source Intelligence Analysis & Investigation systems expert and CTU and CPU consultant for various attorney offices.

Course Area

DATA SCIENCE

European Data Workers will grow from the current 6 millions to 13.4 millions by 2026; the worldwide value of the Big Data Analytics market will rise from $8.5 billion in 2017 to $40.6 billion in 2023. In 2019, the value of the Italian Big Data market was estimated at €1.4 billion, registering an increase of 26% if compared to the previous year.

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