Amazon Web Services (AWS) - Building Streaming Data Analytics Solutions on AWS

Looptijd

Looptijd:

Slechts 1 dagen

Methode

Methode:

Klas / Online / Hybride

Volgende datum

Volgende datum:

24/6/2024 (Maandag)

Overview

On this accelerated Building Streaming Data Analytics Solutions on AWS course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda.

The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

In just 1 day, you’ll learn to understand the features and benefits of a modern data architecture.. You’ll also:

  • 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

At the end of this course, you’ll achieve your Building Streaming Data Analytics Solutions on AWS certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • Data engineers and architects
  • Developers who want to build and manage real-time applications and streaming data analytics solutions

Zeven redenen waarom jij voor jouw cursus voor Firebrand kiest:

  1. Jij zal in slechts 1 dagen gecertificeerd zijn. Doordat onze cursussen residentieel zijn kunnen wij langere lesdagen aanbieden en zal je tijdens je verblijf volledig gefocust zijn op jouw cursus
  2. Onze cursus is all-inclusive. Cursusmaterialen, accommodatie en maaltijden zijn inbegrepen.
  3. Slaag de eerste keer voor of train gratis opnieuw.Op basis van onze certificeringsgarantie kun je voor het geval je de eerste keer niet slaagt binnen een jaar terugkomen en opnieuw trainen. Je betaalt dan alleen voor accommodatie en examens. De andere kosten zijn inbegrepen.
  4. Je zal meer over leren. Waar opleidingen elders doorgaans van 9:00 tot 17:00 duren, kan je bij Firebrand Training rekenen op 12 uur training per dag!
  5. Je zal sneller beheersen. Doordat onze cursussen residentieel zijn word je in korte tijd ondergedompeld in de theorie. Hierdoor zal je volledig gefocust zijn op de cursus en zal je sneller de theorie en praktijk beheersen.
  6. Je zal voor studeren bij de beste training provider. Firebrand heeft het Q-For kwaliteitlabel, waarmee onze standaarden en professionaliteit op het gebied van training erkend worden. We hebben inmiddels 134561 professionals getraind en gecertificeerd!
  7. Je gaat meer doen dan alleen de cursusstof van bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat jij jouw nieuwe kennis direct in jouw werkomgeving kan toepassen.

Benefits

Curriculum

Module 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

Exam Track

At the end of this accelerated course, you’ll achieve your Building Streaming Data Analytics Solutions on AWS Certification.

What's Included

Prerequisites

Before attending this accelerated course, you should have:

  • One-year experience managing data analytics solutions or streaming data
  • Completed either Architecting on AWS or Data Analytics Fundamentals Completed Building Data Lakes on AWS

Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.

Beoordelingen

Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 134561 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.41% ons te beoordelen als 'boven verwachting'


"Firebrand training is worth every penny. The courses are nicely organized, the instructors are authorized instructors with lots of experience. The arrangements regarding hotel and food are also managed well. Its a bootcamp, so be prepared with that mindset. The only room for improvement i would say, is add extra day or two for professional exams"
MK. (12/5/2023 (Vrijdag) t/m 14/5/2023 (Zondag))

"Quick dive in AWS ! Loved it!"
Daniel Penninck, smals. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))

"I can say that I definitely improved and expanded my AWS knowledge with this course. Loved the discussions and the depth, as well as the focus on achieving the Associate Certification by taking a look at real exam questions."
A.S. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))

"Really focused on the exam, with many examples and labs to dive deep on the content. With Instructor, this amount of services and offerings from AWS are much more likely easy to understand and distinguish."
A.R. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))

"The instructor was very knowledgeable and very friendly. He explains things really well!"
Abdul Hasnath, Dynatrace. (26/10/2020 (Maandag) t/m 29/10/2020 (Donderdag))

Cursusdata

Start datum

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Status

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Nu boeken

19/2/2024 (Maandag)

19/2/2024 (Maandag)

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