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Technologies / Data & Analytics

Big Data Hadoop analytics

The training prepares participants to work effectively as Big Data analysts in a Hadoop environment. The program combines technical knowledge with practical analytical skills, enabling participants to independently conduct advanced analysis on large data sets. Hands-on workshops focus on real-world use cases, allowing participants to gain experience working with the analytical tools of the Hadoop ecosystem. The classes are conducted in an interactive format with an emphasis on practical application of the knowledge gained.

Issues

  • Big Data analysis

  • Analytical tools

  • Hive and HQL

  • Apache Spark

  • Data visualization

  • Predictive models

  • Data mining

  • Text processing

  • Streaming analysis

  • Reporting

  • Interpretation of results

  • Presentation of analyses

  • Hadoop for developers and administrators

Benefits

  • The participant will develop practical skills in analyzing large data sets in the Hadoop environment
  • He or she will gain the knowledge to effectively use the analytical tools of the Hadoop ecosystem
  • Will learn to design and implement advanced data analysis using the latest technologies
  • Will be able to create effective visualizations and reports based on Big Data analysis
  • Will develop the ability to interpret and present the results of Big Data analysis
  • Will master the techniques necessary to conduct advanced predictive and exploratory analysis

Who is this training for?

Data analysts looking to work with Big Data
Business Intelligence Specialists
Data Scientists
Business analysts
Data analysis specialists
Data researchers
Data mining professionals
Information systems analysts

Prerequisites

  • Basic knowledge of SQL
  • Experience in data analysis
  • Knowledge of basic statistics
  • Ability to interpret data

Training program

01

Hadoop analytics ecosystem

  • Analytical tools and technologies
  • Basis of data processing
  • Data analysis methodologies
02

Analytical tools

  • Apache Hive and SQL analytics
  • Apache Spark for analysts
03

Data visualization

  • Data mining techniques
04

Advanced analytics

  • Analytical models
  • Predictive analysis
05

Text processing

  • Real-time analysis
  • Practical applications
06

Case study

  • Analytical scenarios
  • Reporting and dashboards
  • Presentation of results

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Big Data Hadoop analytics we recommend: Basic knowledge of SQL; Experience in data analysis; Knowledge of basic statistics.

What is the format and duration of this training?

The training lasts 4 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts looking to work with Big Data; Business Intelligence Specialists; Data Scientists.

Adrian Kwiatkowski
Adrian Kwiatkowski Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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