Building Streaming Data Analytics Solutions on AWS certification | 1-day course

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

Det tager kun et øjeblik at se hvor billigt dit kursus er...

Se priser

Benefits

Er du klar til kurset? Tag en GRATIS test som hjælper dig med at bedømme din nuværende viden.

Gratis Test

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

Det hele er inkluderet! Du får en alt-inklusiv kursuspakke, som er målrettet til dine behov. Vi tager os af enhver detalje, så det eneste du skal fokusere på er dine lærings- og certificeringsmål.

Transport til/fra specifikke afhentningssteder
Overnatninger, samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
Intensiv Hands-on uddannelse med vores unikke (Lecture | Lab | Review)TM metode
Omfattende kursusmaterialer og labmanualer
Et helt igennem instruktørstyret program
24 timers adgang til både undervisningslokale og instruktøren
Samtlige måltider samt adgang til forfriskninger, snacks, kaffe og the.
Certificeringsgaranti

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

Er du klar til dit Firebrand Kursus?

Vi interviewer alle potentielle deltagere angående deres baggrund, uddannelser, certificeringer og personlig indstilling. Hvis du kommer igennem denne screeningsprocedure, betyder det, at du har rigtig gode chancer for at bestå.

Firebrand Training tilbyder et ambitiøst uddannelsesmiljø, som forudsætter at du dedikerer dig til kurset. Ovenstående forkundskaber er vejledende; mange deltagere med mindre erfaring, men med en anden baggrund eller færdigheder, har haft succes med accelereret uddannelse hos Firebrand Training.

Hvis du funderer på hvorvidt du opfylder de anbefalede forkundskaber, er du meget velkommen til at ringe til os på 89 88 66 05 og tale med en af vores uddannelsesrådgivere, som kan hjælpe dig.

Kundereferencer

Her er Firebrand Training review afsnit. Siden 2001 har vi trænet præcist 134.561 studerende og professionelle og bedt dem alle om at gennemgå vores Accelerated Learning. Lige nu har 94,80% sagt, at Firebrand har overgået deres forventninger.

Læs anmeldelser fra de seneste accelererede kurser nedenfor, eller besøg Firebrand Stories for skriftlige og videointerviews med vores alumner.

"The trainer was absolutely fantastic. The course materials was explained to point and easily understood. All questions answered I had. I am feeling extremely confident of passing the exam and being certified."
Peter Royle, Lineage Logistics. (29/4/2024 (Mandag) til 2/5/2024 (Torsdag))

"It was a great week worth of training. Very intense course so not for the faint of heart! If you do decide to do a course here, be prepared but be excited. It''s a great place to learn these courses and appreciate my instructor and everyone for making it a great experience!"
Robert Sizeland, Rhino Analytics. (29/4/2024 (Mandag) til 2/5/2024 (Torsdag))

"Good trainer. Course has a lot of content but trainer did well to make it entertaining."
Uchenna Onyia. (8/3/2024 (Fredag) til 10/3/2024 (Søndag))

"Intensive course with good content"
Karen Asamoah, BPP. (4/3/2024 (Mandag) til 10/3/2024 (Søndag))

"Very in-depth knowledge of the trainer made the course enjoyable"
A.K.. (4/3/2024 (Mandag) til 7/3/2024 (Torsdag))

Kursusdatoer

Starter	Slutter	Tilgængelighed	Sted
26/8/2024 (Mandag)	26/8/2024 (Mandag)	Afsluttet - Giv feedback	-

10/2/2025 (Mandag)	10/2/2025 (Mandag)	Begrænsede pladser	Landsdækkende
24/3/2025 (Mandag)	24/3/2025 (Mandag)	Tilgængelige pladser	Landsdækkende
5/5/2025 (Mandag)	5/5/2025 (Mandag)	Tilgængelige pladser	Landsdækkende
16/6/2025 (Mandag)	16/6/2025 (Mandag)	Tilgængelige pladser	Landsdækkende

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