AWS008

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Big Data on AWS

In this course, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform.

We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.

Audience

This course is intended for:

  • Solutions architects
  • SysOps administrators
  • Data scientists
  • Data analysts

Prior knowledge

We recommend that attendees of this course have the following prerequisites:

  • Familiarity with big data technologies, including Apache Hadoop, Hadoop Distributed File System (HDFS}, and SQL/NoSQL querying
  • Big Data Technology Fundamentals digital training or equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • AWS Technical Essentials or equivalent experience
  • Understanding of data warehousing, relational database systems, and database design

Courseware

AWS Official Digital

Course Objectives

In this course, you will learn how to:

  • Fit AWS solutions inside a big data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
  • Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
  • Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)
  • Use in-memory analytics with Apache Spark on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time Big Data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad-hoc query analytics
  • Use AWS Glue to automate extract, transform, and load (ETL) workloads
  • Use visualization software to depict data and queries using Amazon QuickSight

Delivery Method

This course is delivered through a mix of:

  • Classroom training
  • Hands-on labs
  • Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Learn more about reuirements for BigData specialist

https://aws.amazon.com/training/paths-specialty/ 

Course Objectives

In this course, you will learn how to:

  • Fit AWS solutions inside a big data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
  • Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
  • Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)
  • Use in-memory analytics with Apache Spark on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time Big Data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad-hoc query analytics
  • Use AWS Glue to automate extract, transform, and load (ETL) workloads
  • Use visualization software to depict data and queries using Amazon QuickSight

Delivery Method

This course is delivered through a mix of:

  • Classroom training
  • Hands-on labs
  • Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Learn more about reuirements for BigData specialist

https://aws.amazon.com/training/paths-specialty/ 

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Kursfakta

Kurs-ID: AWS008
Längd: 3 dagar
Pris exkl moms: 19 900 kr
Inregistrering: 09.00
Kursstart: 09.30
Kursslut (ca): 17.00

Frågor om kursen?

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Kan betalas med:
TRAINING CARD

Ort och datum

Stockholm
19 nov-21 nov
Boka nu!
Göteborg
10 dec-12 dec
Boka nu!

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