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Real-Time Data Pipelines & Analytics on AWS · LearnSpace
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courseraIT и технологии

Real-Time Data Pipelines & Analytics on AWS

Курс от LearnKartS
Средний≈ 9.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In today’s digital economy, data shouldn’t stand still — neither should you. This course, Real-Time Data Pipelines & Analytics on AWS, provides you with the necessary skills to process streaming data and make it business-ready. Taught with a focus on actual use cases, you get hands-on practice with AWS’s most popular tools, including Amazon Redshift, Kinesis, Glue, Athena, EMR, QuickSight, OpenSearch, and more. Whether you are new to cloud data engineering or have experience and want to learn the latest, this course offers a curated curriculum featuring practical demos, guided videos, and examples. You’ll discover ways to increase the performance of your Redshift cluster, secure Kinesis streams, and integrate Spark with various AWS services. You’ll also be able to design analytics pipelines that provide real-time results. By the time you are finished with this course, you will be able to build production-ready data pipelines that shine in today’s high-demand tech industry. Enroll now and begin your path towards the data engineer that every company is looking for. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.

Навыки, которые вы освоите

Data PipelinesReal Time DataAmazon RedshiftAWS KinesisApache SparkData SecurityExtract, Transform, LoadAmazon Web ServicesServerless ComputingAnalyticsData TransformationData ProcessingInteractive Data VisualizationScalabilityApache Airflow

Программа курса

2 модулей · 61 учебных материалов

01AWS Data Processing and Query Services21 материалов

Introduction to Data Querying

Course IntroductionВидеоGetting Started with RedshiftВидеоUnderstanding Redshift SpectrumВидеоBoosting Query Performance in RedshiftВидео

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LearnKartS

Преподаватель курса

Real-Time Data Pipelines & Analytics on AWS
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.1 ч

2 модулей

Язык: Английский

Часть программы вашего университета
Understanding Redshift’s Data DistributionЧтение
Exploring RA3 Nodes and Cross-Region SharingВидео
Data Handling with Redshift WorkflowsВидео
Demo:Redshift WalkthroughВидео
Introduction to Data QueryingЗадание
Introduction to Data QueryingЗадание

Advanced Data Processing

Understanding Redshift ML ВидеоGetting to Know Redshift ServerlessВидеоUnderstanding Redshift Lambda UDFsЧтениеOverview of Redshift Data APIВидеоExploring Redshift System Tables ЧтениеOverview of Apache Sparks ВидеоIntegrating Spark with AWS Data ServicesВидеоAWS Redshift and Spark: Data Warehousing, Analytics, and IntegrationDIALOGUEAdvanced Data ProcessingЗаданиеAdvanced Data ProcessingЗаданиеBuilding Real-Time Analytics Pipelines with AWS Redshift and Apache SparkDIALOGUE
02Analytics Tools and Exploring Real-Time Streaming 40 материалов

Analytics for Data Engineering

Intro to AWS GlueВидеоMastering AWS GlueВидеоUnderstanding Glue WorkflowsВидеоOverview of Amazon AthenaВидеоAthena: Optimize & TransactВидеоDemo:Athena + GlueВидеоOverview of Amazon EMRВидеоAWS Glue and Amazon AthenaЗаданиеUnderstanding Amazon Kinesis Data StreamsВидеоIntroduction to AWS lake formationЧтениеUnderstanding Kinesis Producers and ConsumersВидеоFan-Out in Kinesis: Concept and Use Cases ЧтениеStream Scaling with KinesisВидеоHandling Duplicates in KinesisВидеоSecuring Kinesis Data StreamsВидеоDemo:Kinesis Data StreamВидеоOverview of Amazon Data FirehoseВидеоMonitoring and Troubleshooting Kinesis Performance ВидеоStreaming Analytics with Kinesis Data Analytics and FlinkВидеоReal-Time Data Streaming and Analytics with AWS Kinesis & Lake FormationЗаданиеAnalytics for Data EngineeringЗадание

Streaming , Messaging Essentials and application integration

Introduction to MSK ВидеоUnderstanding Amazon QuickSightВидеоIntro to OpenSearch ВидеоUnderstanding Open Search Index ManagementВидеоOverview of AWS AppFlowВидеоData Integration, Visualization, and Search with AWS ServicesЗадание
Understanding SQSВидео
Understanding SNSВидео
Demo:Creating a SQS Dead Letter QueueВидео
Demo:Sending Notification with SNSВидео
EventBridge EssentialsВидео
Demo:AWS EventbridgeВидео
Amazon Managed Workflows for Apache AirflowВидео
Understanding AWS Step FunctionsВидео
AWS Data Integration and Streaming Services: Glue, Kinesis, EMR, Athena, and Analytics ToolsDIALOGUE
Messaging Essentials and application integrationЗадание
Streaming , Messaging Essentials and application integrationЗадание
Designing Event-Driven Real-Time Data Pipelines on AWSDIALOGUE
Course CompletionВидео