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AWS-BSDAS
Building Streaming Data Analytics Solutions on AWS
AUDIENCE
Data engineers
LEVEL

Introductory (100) – preliminary course, overview

Intermediate (200) – the course extends the knowledge from the level 100 with specific issues

Advanced (300) – the course extends the knowledge from the level 300 with specific issues

Expert (400) – the training course involves an expert level of knowledge and experience and provides an in-depth analysis of the issue

Intermediate
LENGTH
1 day
TRAINING METHOD
vILT
PRICE

2300

In this 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

AUDIENCE PROFILE

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

ACQUIRED SKILLS

In 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 an

Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Using Streaming Services in the Data Analytics Pipeline

  • The importance of streaming data analytics
  • The streaming data analytics pipeline
  • Streaming concepts

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

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

Securing, Monitoring, and Optimizing Amazon Kinesis

  • Optimize Amazon Kinesis to gain actionable business insights
  • Security and monitoring best practices

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

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

Designing Streaming Data Analytics Solutions

  • Use case review
  • Class Exercise: Designing a streaming data analytics workflow

Developing Modern Data Architectures on AWS

  • Modern data architectures

We recommend that attendees of this course have:

2300

Included in price:

  • Authorized instructor
  • Authorized course materials
  • Labs in the cloud up to 14 days after the training
  • Certificate of completion

All quoted prices are net prices. All prices are subject to VAT at 23%.

SCHEDULE

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05.05.2025 030c75259fe94e22a21592255a3b8364 SC-200 SC-200 05 Maja May Poniedziałek Monday 4000 POPROŚ O OFERTĘ ASK FOR A QUOTE
06.05.2025 0b0c8fd1ee30412abb99ca7765074b59 AWS-BMDAS AWS-BMDAS 06 Maja May Wtorek Tuesday 7500 POPROŚ O OFERTĘ ASK FOR A QUOTE
30.04.2025 257a6be2fb4042d2b25187833c7a38bc AZ-1007 AZ-1007 30 Kwietnia April Środa Wednesday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
05.05.2025 28601ab0a40b4372913a91ba29366784 MS-4007 MS-4007 05 Maja May Poniedziałek Monday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
30.04.2025 392cf6f7b591414888b5dc2265bbd418 AWS-AWARCH AWS-AWARCH 30 Kwietnia April Środa Wednesday 2300 POPROŚ O OFERTĘ ASK FOR A QUOTE
09.05.2025 4076bc9792da4dcea36ac519e730e0d8 AWS-CPE AWS-CPE 09 Maja May Piątek Friday 2300 POPROŚ O OFERTĘ ASK FOR A QUOTE
05.05.2025 410cf9efca43433db55981bcfdf361b5 AZ-040 AZ-040 05 Maja May Poniedziałek Monday 5500 POPROŚ O OFERTĘ ASK FOR A QUOTE
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12.05.2025 5d2d7158782c42bea19653ff1ceda1b4 MS-55265 MS-55265 12 Maja May Poniedziałek Monday 2600 POPROŚ O OFERTĘ ASK FOR A QUOTE
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28.04.2025 8140283af70245f0b3ea2593aff11e01 MS-4006 MS-4006 28 Kwietnia April Poniedziałek Monday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
05.05.2025 83d61916677f4c11a0bfb1784333f7a3 AI-102 AI-102 05 Maja May Poniedziałek Monday 4000 POPROŚ O OFERTĘ ASK FOR A QUOTE
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09.05.2025 967318c1532648e889c1fbca6bbf2408 DP-3012 DP-3012 09 Maja May Piątek Friday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
28.04.2025 a857ffc30b0d45d7beb1be09ca7fd8cf PL-300 PL-300 28 Kwietnia April Poniedziałek Monday 3200 POPROŚ O OFERTĘ ASK FOR A QUOTE
12.05.2025 a997fc1ccac248918080bea80789f38a DASA-FUND DASA-FUND 12 Maja May Poniedziałek Monday 4500 POPROŚ O OFERTĘ ASK FOR A QUOTE
12.05.2025 afecdb9a0e974f959dcb4dccdae739c6 AWS-ARCH AWS-ARCH 12 Maja May Poniedziałek Monday 5200 POPROŚ O OFERTĘ ASK FOR A QUOTE
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30.04.2025 c05f483128a545dc88ebd2cc02d7b7e6 DP-3011 DP-3011 30 Kwietnia April Środa Wednesday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
09.05.2025 c077de3924ff4d6681a9a749e8ccc93a AZ-1008 AZ-1008 09 Maja May Piątek Friday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
28.04.2025 c27c68fbebf440f4b6f9d53ce6af714e DP-605 DP-605 28 Kwietnia April Poniedziałek Monday 2300 POPROŚ O OFERTĘ ASK FOR A QUOTE
28.04.2025 d5fb2f8adf644c5a8996a74ef8b47bbe AWS-CEBL AWS-CEBL 28 Kwietnia April Poniedziałek Monday 1700 POPROŚ O OFERTĘ ASK FOR A QUOTE
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06.05.2025 fa5ac0d8a0fc402c805349b9ef5a002b AWS-SESS AWS-SESS 06 Maja May Wtorek Tuesday 2300 POPROŚ O OFERTĘ ASK FOR A QUOTE
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