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Technologies / Data & Analytics

Databricks - unified data analytics

A two-day workshop training introducing the world of unified data analytics using the Databricks platform. Participants will learn the practical aspects of working with data in a cloud environment, combining batch and stream processing capabilities. The training is conducted in the form of an intensive workshop, where theory is immediately verified in practice through the implementation of real analytical scenarios.

Issues

  • Databricks Architecture

  • Delta Lake and data management

  • Stream processing

  • MLflow and machine learning

  • Data security

  • Performance optimization

  • Teamwork

  • Process automation

  • Cloud integration

  • Data visualization

  • Monitoring and diagnostics

  • Design patterns in analytics

This training is part of the path:

Benefits

  • Practical knowledge of unified data analytics
  • Ability to design solutions in Databricks
  • Knowledge of data processing best practices
  • Ability to optimize analytical processes
  • Ability to work with Delta Lake
  • Knowledge of process automation
  • Knowledge of collaborative techniques in an analytical team

Who is this training for?

Data analysts looking for cloud solutions
Data engineers working with large data sets
Architects of Big Data solutions
Business Intelligence Specialists
Analytical application developers
Data Scientists getting started with cloud platforms
Implementation teams of analytical projects

Prerequisites

  • Basic knowledge of SQL
  • Experience in data analysis
  • Knowledge of basic programming
  • General knowledge of cloud solutions

Training program

01

Platform architecture

  • Configuration of the working environment
  • Basics of working with notebooks
  • Integration with cloud services
  • Databricks processing
02

Working with Delta Lake

  • Query optimization
  • Structured and unstructured data management
  • Stream processing
  • Advanced analytical functions
03

MLflow at Databricks

  • Automation of analytical processes
  • Cooperation in the analytical team
04

Visualize the results

  • Practices and design patterns
  • Analytics solution architecture
05

Data security management

  • Performance monitoring and optimization
  • Implementation of manufacturing solutions

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 Databricks - unified data analytics we recommend: Basic knowledge of SQL; Experience in data analysis; Knowledge of basic programming.

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: Data analysts looking for cloud solutions; Data engineers working with large data sets; Architects of Big Data solutions.

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

Interested in this training?

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

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