Big Data on AWS

Seminarinformationen

Seminar - Ziel

In this course, you will learn about cloud-based big data solutions such as Amazon
Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the
AWS big data platform. You will learn how to use Amazon EMR to process data
using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally,
you will learn how to create big data environments, work with Amazon DynamoDB,
Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big
data environments for security and cost-effectiveness.

Teilnehmer - Zielgruppe

Who Should Attend?

  • Individuals responsible for designing and implementing big data solutions, such as solutions architects and system operator administrators
  • Data scientists and data analysts interested in learning about big data solutions on AWS

Kurs - Voraussetzungen

  • Familiarity with big data technologies, including Apache Hadoop and HDFS
  • Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required
  • Working knowledge of core AWS services and public cloud implementation
  • Students should complete the AWS Essentials course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design

Seminardauer

  • 3 Tage
  • 09:00 Uhr bis 17:00 Uhr

Schulungsunterlagen

  • nach Absprache

Seminar-Inhalt / Agenda

  • Apache Hadoop in the context of Amazon EMR
  • The architecture of an Amazon EMR cluster
  • Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon
  • EC2 instance types
  • Appropriate AWS data storage options for use with Amazon EMR
  • Ingesting, transferring, and compressing data for use with Amazon EMR
  • Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
  • Work with Amazon Redshift to implement a big data solution
  • Leverage big data visualization software
  • Appropriate security options for Amazon EMR and your data
  • Perform in-memory data analysis with Spark and Shark on Amazon EMR
  • Options to manage your Amazon EMR environment cost-effectively
  • Benefits of using Amazon Kinesis for big data

Weitere Schulungen zu Thema AWS Cloud

AWS Cloud Financial Management for Builders

- u.a. in Nürnberg, Berlin, Stuttgart, München, Köln

This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect ...

Video Streaming Essentials for AWS Media Services

- u.a. in Nürnberg, Berlin, Stuttgart, München, Köln

In this course, you will learn best practices for designing and using cloud-based video workflows. It covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for ...

MLOps Engineering on AWS

- u.a. in Stuttgart, Düsseldorf, Heidelberg, Darmstadt, Freiburg

This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data, model, and code to successful ML deployments. It will demonstrate the use of tools, ...

AWS Security Governance at Scale

- u.a. in Dresden, Essen, Mannheim, Darmstadt, Freiburg

Security is foundational to AWS. Governance at scale is a new concept for automating cloud governance that can help companies retire manual processes in account management, budget enforcement, and security and compliance. By automating common challenges, companies can scale ...