+49 (911) 80 10 30

Give us a call or have us call you back!

Simply leave a message with your callback appointment

Your Name *

Your phone number *

Callback date *

Callback time *

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.

* All fields marked with an asterisk are mandatory fields.
Send a message

Your Name *

Your email *

Your phone number

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.*

* All fields marked with an asterisk are mandatory fields.
Social Media

Share page

AW272: Building Batch Data Analytics Solutions on AWS™

Training: AWS™ - Cloud

Developers and data analysts learn how to build batch data analytics solutions with Amazon EMR. The course covers the integration of Apache Spark, Hadoop, Hive, HBase, AWS™ Glue, and Lake Formation. It addresses data collection, cataloging, storage, and processing, as well as the use of EMR Notebooks for analytics and machine learning. Best practices for security, performance, and cost management complete the training.

Appointment selection

Appointments in English language (0)


Unfortunately there are currently no available appointments. Would you like to request an appointment? Then click on 'No matching appointment?'

Possible course languages: German

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Agenda:

Overview of Data Analytics and the Data Pipeline
- Data analytics use cases
- Using the data pipeline for analytics

Introduction to Amazon EMR
- Using Amazon EMR in analytics solutions
- Amazon EMR cluster architecture
- Interactive Demo 1: Launching an Amazon EMR cluster
- Cost management strategies

Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
- Storage optimization with Amazon EMR
- Data ingestion techniques

High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
- Apache Spark on Amazon EMR use cases
- Why Apache Spark on Amazon EMR
- Spark concepts
- Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell
- Transformation, processing, and analytics
- Using notebooks with Amazon EMR
- Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR

Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
- Using Amazon EMR with Hive to process batch data
- Transformation, processing, and analytics
- Practice Lab 2: Batch data processing using Amazon EMR with Hive
- Introduction to Apache HBase on Amazon EMR

Serverless Data Processing
- Serverless data processing, transformation, and analytics
- Using AWS™ Glue with Amazon EMR workloads
- Practice Lab 3: Orchestrate data processing in Spark using AWS™ Step Functions

Security and Monitoring of Amazon EMR Clusters
- Securing EMR clusters
- Interactive Demo 3: Client-side encryption with EMRFS
- Monitoring and troubleshooting Amazon EMR clusters
- Demo: Reviewing Apache Spark cluster history

Designing Batch Data Analytics Solutions
- Batch data analytics use cases
- Activity: Designing a batch data analytics workflow

Developing Modern Data Architectures on AWS™
- Modern data architectures

Objectives:

In this course AW272 Building Batch Data Analytics Solutions on AWS™, you will learn to:

Compare the features and benefits of data warehouses, data lakes, and modern data architectures
Design and implement a batch data analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
Secure data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices

Target audience:

This course AW272 Building Batch Data Analytics Solutions on AWS™ is intended for:

Data platform engineers
Architects and operators who build and manage data analytics pipelines

Prerequisites:

To participate in the course AW272 Building Batch Data Analytics Solutions on AWS™ at qSkills™, you should have completed the following AWS™ trainings:

Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.

Description:

In this course AW272 Building Batch Data Analytics Solutions on AWS™, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS™ services such as AWS™ Glue and AWS™ Lake Formation. The course AW272 Building Batch Data Analytics Solutions on AWS™ addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

This course AW272 Building Batch Data Analytics Solutions on AWS™ includes presentations, interactive demos, practice labs, discussions, and class exercises.