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Technologies / Data & Analytics

Basics of Big Data and database systems

The training introduces participants to the foundations of Big Data systems and modern databases, focusing on the practical aspects of their use in a production environment. The program combines theory with practice through workshops and exercises on real-world examples. Participants will learn key concepts, architectures and tools used in the Big Data ecosystem. Classes are conducted in an interactive format, enabling immediate application of the knowledge gained.

Issues

  • Lambda and Kappa architecture

  • Hadoop and Spark platforms

  • NoSQL and NewSQL databases

  • Batch and stream processing methods

  • Data Lake and Data Warehouse

  • Horizontal scalability of systems

  • ETL vs ELT in the context of Big Data

  • Columnstore and key-value technologies

  • Data models and schemas

  • Big Data analytics

  • Integration of data from different sources

  • Quality management of bulk data

Benefits

  • Understand the key concepts of Big Data and their importance in modern business environments.
  • Learn the differences between traditional and modern database systems in the context of processing large data sets.
  • Practical knowledge of mass data analysis methods using popular tools.
  • Ability to identify business cases that can benefit from the implementation of Big Data solutions.
  • Ability to design basic architectures for bulk data processing systems.
  • Knowledge of data management best practices in the Big Data ecosystem.
  • Knowledge to make informed technology decisions regarding the implementation of Big Data solutions.

Who is this training for?

Beginning Big Data specialists
Database administrators
Data analysts entering the Big Data field
Business application developers
IT professionals interested in Big Data
Systems architects getting started with Big Data
Technology project managers
System engineers

Prerequisites

  • Basic knowledge of issues in the area of databases
  • General knowledge of information systems architecture
  • Understand basic data processing concepts
  • Experience working with data in an organization
  • Basic knowledge of SQL language

Training program

01

Introduction to Big Data o Big Data concepts and definitions o Characteristics of bulk data o Big Data systems architecture o Technology ecosystem.

  • Foundations of databases o Types of databases in Big Data o Data models o Storage strategies o Fundamentals of data processing
  • Processing and analysis o Data processing methods o Basic analytical algorithms o Introduction to Data Lake o Data quality and security
  • Practical applications o Big Data use cases o Technology selection o Implementation basics o Best practices

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 Basics of Big Data and database systems we recommend: Basic knowledge of issues in the area of databases; General knowledge of information systems architecture; Understand basic data processing concepts.

What is the format and duration of this training?

The training lasts 2 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: Beginning Big Data specialists; Database administrators; Data analysts entering the Big Data field.

Kamil Gabryszewski
Kamil Gabryszewski 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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Trusted by

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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Contact us - we'll prepare an offer tailored to your organization's needs.

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