Data Warehousing on AWS

Kód kurzu: AWSDW

Tato část není lokalizována

In this course, you will learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. We will demonstrate how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon Simple Storage Service (Amazon S3).

We will also explore how to use business intelligence (BI) tools to perform analysis on your data.

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Individuální

Forma: Individuální

Délka kurzu: 3 dny

Jazyk: en

Cena bez DPH: 45 490 Kč

Registrovat

Počáteční
datum
Místo
konání
Forma Délka
kurzu
Jazyk Cena bez DPH
Individuální Individuální 3 dny en 45 490 Kč Registrovat
G Garantovaný kurz

Nenašli jste vhodný termín?

Napište nám o vypsání alternativního termínu na míru.

Kontakt

Cílová skupina

Tato část není lokalizována

This course is intended for:

  • Database architects
  • Database administrators
  • Database developers
  • Data analysts
  • Data scientists

Struktura kurzu

Tato část není lokalizována

In this course, you will learn how to:

  • Evaluate the relationship between Amazon Redshift and other Big Data systems
  • Evaluate use cases for data warehousing workloads and review real-world implementation of AWS data and analytic services as part of a data warehousing solution
  • Choose an appropriate Amazon Redshift node type and size for your data needs
  • Understand which security features are appropriate for Amazon Redshift, such as encryption, IAM permissions, and database permissions
  • Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
  • Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis
  • Firehose, and Amazon S3, to contribute to the data warehousing solution
  • Evaluate approaches and methodologies for designing data warehouses
  • Identify data sources and assess requirements that affect the data warehouse design
  • Design the data warehouse to make effective use of compression, data distribution, and sort methods
  • Load and unload data and perform data maintenance tasks
  • Write queries and evaluate query plans to optimize query performance
  • Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing Audit, monitor, and receive event notifications about activities in the data warehouse by using features and services such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS)
  • Prepare for operational tasks such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • Use a BI application to perform data analysis and visualization tasks against your data

Předpokládané znalosti

Tato část není lokalizována

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

  • AWS Technical Essentials or equivalent experience with AWS
  • Familiarity with relational databases and database design concepts

Potřebujete poradit nebo upravit kurz na míru?

Daniel Šťastný

Daniel Šťastný

produktová podpora

Platební brána ComGate Logo MasterCard Logo Visa