AWS Amazon Web Services Big Data Lakes on AWS

Course AWS-BDLA

  • Duration:
    • 1 day

Dates:

  • Durchführung geplant – noch Plätze verfügbar
  • Implementation - probability high - still places available
  • There are no more seats available. For many courses, it may still be possible to participate online, via virtual classroom.
  • Course times: As a rule, our seminars are held from 10:00 am to 5:00 pm on day 1 and from 9:00 am to 4:00 pm on the following days. Changes are possible. The concrete seminar times you will find in the binding order confirmation.
24.02.2025 Virtual Classroom
  • 750 EUR / Person
 German
19.05.2025 Virtual Classroom
  • 750 EUR / Person
 German
22.09.2025 Virtual Classroom
  • 750 EUR / Person
 German
01.12.2025 Virtual Classroom
  • 750 EUR / Person
 German
In this seminar, you will learn how to work with Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Athena and all other components of the AWS Big Data platform for processing data and creating Big Data environments.
Overview of Big Data, Apache Hadoop and the benefits of Amazon EMR
Architecture of Amazon EMR
Using Amazon EMR
Starting and using an Amazon EMR cluster
Hadoop programming frameworks Day 2
Using Hive for advertising analytics
Using Streaming for Life Science Analytics
Overview: Spark and Shark for In-Memory Analytics
Using Spark and Shark for In-Memory Analytics
Cost Management for Amazon EMR
Overview of Amazon EMR Security
Data entry, transmission and compression
Using Amazon Kinesis for Real-Time Big Data Processing3. Tag
Using Amazon Kinesis and Amazon EMR for Streaming and Processing Big Data
Options for Data Storage in AWS
Using DynamoDB with Amazon EMR
Overview: Amazon Redshift and Big Data
Using Amazon Redshift for Big Data
Visualising and Orchestrating Big Data
Visualising Big Data with Tableau Desktop or Jaspersoft BI
Those responsible for the design and implementation of Big Data solutions, i.e. Solutions Architects and SysOps Administrators.
Big Data managers and Big Data analysts interested in Big Data solutions in AWS.
Working knowledge of 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 key AWS services and implementation of public clouds
Students must have completed the AWS Technical Essentials (AWSE) course or have similar experience
Basic understanding of data warehouses, relational database systems and database design.
We run this course in collaboration with an official AWS Training Partner.

Contact us

SoftwareONE

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D-04329 Leipzig
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