Technologies / Data & Analytics

Big Data Programming in R

Training on Big Data programming with R. Learn efficient data processing using data.table, parallel processing, and distributed computing for handling large datasets.

Issues

data.table
Memory optimization
Parallel processing
Spark integration
Database connections
H2O
Arrow
Cloud computing
Performance tuning
Best practices

Benefits

Big Data R skills
Performance optimization
Parallel processing ability
Scalable solutions

Who is this training for?

R programmers

Data scientists

Data engineers

Analysts working with large data

Prerequisites

R proficiency
Data manipulation experience
Basic statistics

Training program

data.table
Optimization techniques

Parallel processing
Parallel package

future framework
Distributed computing
Spark with R
Database connections
Chunked processing

Big Data tools

Arrow
Cloud integration
Deployment

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 Programming in R we recommend: R proficiency; Data manipulation experience; Basic statistics.

What is the format and duration of this training?

The training lasts 3 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: R programmers; Data scientists; Data engineers.