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AWS Certified Big Data - Specialty
AWS Certified Big Data - Specialty

AWS Certified Big Data - Specialty: Harnessing Big Data on AWS: From Collection to Visualization

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Profile Icon ACI Learning Profile Icon Vonne Smith Profile Icon Aubri Spurgin Profile Icon Justin Dennison Profile Icon Zachary Memos +1 more Show less
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€18.99 per month
Video Apr 2024 16hrs 48mins 1st Edition
Video
€187.99
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Arrow left icon
Profile Icon ACI Learning Profile Icon Vonne Smith Profile Icon Aubri Spurgin Profile Icon Justin Dennison Profile Icon Zachary Memos +1 more Show less
Arrow right icon
€18.99 per month
Video Apr 2024 16hrs 48mins 1st Edition
Video
€187.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€187.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Comprehensive coverage of AWS big data services from basics to advanced.
  • Extensive focus on practical applications and security best practices.
  • Access to excellent resources and tools for hands-on experience and testing.

Description

The "AWS Certified Big Data - Specialty" course offers a comprehensive journey through the landscape of big data on AWS, designed to empower you with the skills needed to master the platform's data handling capabilities. Beginning with an understanding of the basics of data collection via innovative AWS services like Kinesis & IoT, this course meticulously guides you through the various stages of data management, including secure storage options like S3 and DynamoDB, and robust data processing technologies such as EMR, Lambda, and Glue. As you delve deeper, you'll explore advanced analytical tools like Athena and Redshift, learning how to query and manipulate large data sets efficiently. This detailed exploration is complemented by practical insights into data visualization techniques using QuickSight, helping you turn complex data into actionable insights. Moreover, the course covers essential security practices necessary for protecting data, with in-depth sessions on using IAM and KMS to manage access and encryption. Real-world applications and case studies demonstrate the theoretical concepts and help the participants understand how they are applied in practical scenarios. This approach prepares you for the certification while also equipping you with the knowledge to implement what you have learned in real-world job settings.

Who is this book for?

This course is ideal for IT professionals, data scientists, and engineers with a foundational understanding of cloud computing, AWS, and basic database systems. Potential learners should have basic knowledge of database systems and a general understanding of data processing technologies. Prior experience with AWS is helpful but not mandatory. Whether aiming to improve job performance, seeking certification, or aspiring to transition into roles focused on big data architecture or analysis, participants will find this course enhances their practical skills and theoretical knowledge.

What you will learn

  • Use AWS services like IoT & Kinesis for effective data collection.
  • Manage and secure big data storage using S3 and DynamoDB.
  • Process data using EMR, Lambda, and AWS Glue.
  • Analyze big data with tools like Athena and Redshift.
  • Create powerful data visualizations with QuickSight.
  • Implement security best practices with IAM and KMS.

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 26, 2024
Length: 16hrs 48mins
Edition : 1st
Language : English
ISBN-13 : 9781836203834
Concepts :
Tools :

What do you get with a Packt Subscription?

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Apr 26, 2024
Length: 16hrs 48mins
Edition : 1st
Language : English
ISBN-13 : 9781836203834
Concepts :
Tools :

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Table of Contents

6 Chapters
Collection Chevron down icon Chevron up icon
Storage Chevron down icon Chevron up icon
Processing Chevron down icon Chevron up icon
Analysis Chevron down icon Chevron up icon
Visualization Chevron down icon Chevron up icon
Security Chevron down icon Chevron up icon
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