Data analytics has become an essential pillar for companies looking to leverage their information for strategic decisions. The AWS – Building Batch Data Analytics Solutions on AWS course will help you acquire the necessary skills to design batch processing pipelines on AWS using services like Amazon EMR. You will learn to use Apache Spark and Apache Hadoop to optimize data collection, ingestion, and processing. This course is designed for those who want to master AWS tools while integrating security and cost management best practices.
By taking this program, you will discover how to use Amazon EMR to analyze large-scale data and orchestrate robust batch processing solutions. You will become familiar with technologies like Apache Hive, AWS Glue, and AWS Step Functions to transform and analyze your data. The course will equip you with practical and strategic skills to optimize your processes while ensuring data security and efficient resource management.
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: Securing and monitoring Amazon EMR clusters
Module 7: Designing batch data analytics solutions
Module B: Developing modern data architectures on AWS
The AWS – Building Batch Data Analytics Solutions on AWS training is an opportunity for Big Data professionals to master AWS technologies, especially Amazon EMR, a managed service that supports Apache Spark and Apache Hadoop. This program focuses on creating robust data pipelines capable of handling large data volumes and processing them efficiently to provide strategic insights.
This course is ideal for data engineers and architects who want to automate batch processing and analytics while ensuring data security. Through interactive demos and practical labs, you will learn to configure and optimize EMR clusters, use tools like AWS Glue and AWS Step Functions to orchestrate your tasks, and apply cost management strategies tailored to your needs.
One of the strengths of this course is the integration of open-source services like Apache Hive and HBase with Amazon EMR. You will also explore how AWS simplifies and automates data processing through serverless services, ensuring flexibility and performance for your analytics applications.
Amazon EMR, as a key solution for batch data processing, allows you to focus on analytics while handling resource management and automatic scaling. You will learn how to leverage these features to make your analytics solutions more efficient.
What is Amazon EMR?
Amazon EMR is a managed AWS service that facilitates running Big Data frameworks like Apache Spark and Apache Hadoop to process large datasets.
Why use AWS Glue in this course?
AWS Glue is used to orchestrate and automate data processing in Amazon EMR environments, reducing the complexity of data pipelines.
Is it difficult to secure an Amazon EMR cluster?
No, AWS offers tools like EMRFS for client-side data encryption and robust security practices to protect your clusters.
Session scheduled on demand, please contact us to open a session
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
