Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.
We recommend that attendees of this course have:
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Introduction to Amazon EMR
Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
Module 5: Serverless Data Processing
Module 6: Security and Monitoring of Amazon EMR Clusters
Module 7: Designing Batch Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS
Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.