Building Streaming Data Analytics Solutions on AWS
- Référence GK7400
- Durée 1 Jour
Modalité pédagogique
Options de paiement complémentaires
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CPF
Cette formation est éligible au Compte Personnel de Formation pour son financement.
Aller à:
Modalité pédagogique
La formation est disponible dans les formats suivants:
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Classe inter à distance
Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.
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Classe inter en présentiel
Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.
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Intra-entreprise
Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.
Demander cette formation dans un format différent
Résumé
Haut de pageCompany Events
These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.
Prochaines dates
Haut de pagePublic
Haut de pageThis course is intended for:
Data engineers and architects
Developers who want to build and manage real-time applications and streaming data analytics solutions
Objectifs de la formation
Haut de pageIn this course, you will learn to:
- Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture.
- Design and implement a streaming data analytics solution • Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
- Choose the appropriate streams, clusters, topics, scaling approach, 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 streaming data at rest and in transit • Monitor analytics workloads to identify and remediate problems
- Apply cost management best practices
Programme détaillé
Haut de pageModule A: Overview of Data Analytics and the Data Pipeline
- Data analytics use cases
- Using the data pipeline for analytics
Module 1: Using Streaming Services in the Data Analytics Pipeline
- The importance of streaming data analytics
- The streaming data analytics pipeline
- Streaming concepts
Module 2: Introduction to AWS Streaming Services
- Streaming data services in AWS
- Amazon Kinesis in analytics solutions • Demonstration: Explore Amazon Kinesis Data Streams
- Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
- Using Amazon Kinesis Data Analytics
- Introduction to Amazon MSK • Overview of Spark Streaming
Module 3: Using Amazon Kinesis for Real-time Data Analytics
- Exploring Amazon Kinesis using a clickstream workload
- Creating Kinesis data and delivery streams
- Demonstration: Understanding producers and consumers
- Building stream producers
- Building stream consumers
- Building and deploying Flink applications in Kinesis Data Analytics
- Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
- Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
- Optimize Amazon Kinesis to gain actionable business insights
- Security and monitoring best practices
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
- Use cases for Amazon MSK
- Creating MSK clusters • Demonstration: Provisioning an MSK Cluster
- Ingesting data into Amazon MSK
- Practice Lab: Introduction to access control with Amazon MSK • Transforming and processing in Amazon MSK
Module 6: Securing, Monitoring, and Optimizing Amazon MSK
- Optimizing Amazon MSK
- Demonstration: Scaling up Amazon MSK storage
- Practice Lab: Amazon MSK streaming pipeline and application deployment
- Security and monitoring
- Demonstration: Monitoring an MSK cluster
Module 7: Designing Streaming Data Analytics Solutions
- Use case review
- Class Exercise: Designing a streaming data analytics workflow
Module B: Developing Modern Data Architectures on AWS
- Modern data architectures
Pré-requis
Haut de page- At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions.
- We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts.
Et après
Haut de pageThis class is focused on hands on training but will put you in position to for the AWS CERTIFIED DATA ANALYTICS – SPECIALTY.
- AWS Certified Database - Specialty
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- <table style="width: 100%; border-collapse: collapse; border-style: solid; border-color: #141c36; float: left;" border="3" cellspacing="2" cellpadding="5" data-mce-style="width: 100%; border-collapse: collapse; border-style: solid; border-color: #141c36; float: left;"><tbody><tr><td style="width: 100%;" data-mce-style="width: 100%;"><p style="text-align: left;" data-mce-style="text-align: left;"><strong><span style="color: #141c36;" data-mce-style="color: #141c36;">Délais d’inscription</span></strong></p><hr /><p style="text-align: left;" data-mce-style="text-align: left;">Avant le début de la formation <strong>jusqu’à 5 jours ouvrés sous réserve de disponibilité </strong>sauf dans le cas d'un financement <a title="compte CPF" href="https://www.globalknowledge.com/fr-fr/formations/compte-personnel-de-formation-cpf" data-mce-href="https://www.globalknowledge.com/fr-fr/formations/compte-personnel-de-formation-cpf">CPF,</a> jusqu'à 11 jours ouvrés. <a rel="noopener noreferrer" title="formations éligibles CPF" href="mailto:cpf@globalknowledge.fr" target="_blank" rel="noopener noreferrer" data-mce-href="mailto:cpf@globalknowledge.fr">Contactez-nous</a> pour connaître les formations éligibles.</p></td></tr></tbody></table><p><br /></p>
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- GK7400
- Building Streaming Data Analytics Solutions on AWS
- Cloud Computing
- GK7400 | Building Streaming Data Analytics Solutions on AWS | Training Course | Amazon Web Services.
- Amazon Web Services