Data Engineering & Data Science
Data Engineering & Data Science
EAS-004
24 ore
Understand current approaches to designing data warehouses and using them in heterogeneous enterprise information systems.
EAS-011
This course provides an overview of modern data architecture. We will learn real world high load architecture of the Nvidia company with such storages like relational data base, message queues, dat...
EAS-015
24 ore
This training course delivers key concepts and methods for data processing applications development using Apache Hadoop. We’ll look at HDFS, the de-facto standard for large scale long-term robust...
EAS-018
24 ore
This course delves into topics crucial for professional MongoDB use in practice, such as documenting NoSQL schemas, data indexing and optimization, transactions in MongoDB, implementing and managin...
EAS-020
This course provides an introduction to the
fundamentals of Machine Learning, featuring key topics such as Basics, Spark
for distributed data processing, Neural Networks, and Deep Learning. We wi...
EAS-024
The Advanced Spark for Developers Course will help trainees get a proper understanding of the internal structure and functioning of Apache Spark – Spark Core (RDD), Spark SQL and Spark Streaming.
EAS-025
24 ore
A basic practical training in machine learning that covers the entire cycle of building a solution – from initial data capture (“.xlsx file”), through building a model, to explaining data and...
EAS-026
Popular
24 ore
An intro training on Apache Kafka, the open-source distributed event streaming platform. We’ll look at the architectural features of Kafka that enable high-performance data delivery.
EAS-027
Oriented towards python programmers or ML practitioners who want to understand the RL framework in detail.
EAS-028
28 ore
Databricks is an increasingly popular platform for big data processing and analysis. Our Databricks Fundamentals course is a great way to start if you want to improve your skills in this area.
EAS-029
20 ore
EAS-030
Participants will embark on an enriching voyage through the Spark universe powered by Scala, beginning with a foundational understanding of Spark's architecture and seeing its edge over Hadoop...