Published 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.83 GB | Duration: 15h 31m
Mastering AWS Analytics: From Basics to Certification Success - Theory, Labs, Practice Exams
What you'll learn
Deep Dive into AWS Data Analytics Services: Gain comprehensive knowledge of the various AWS services tailored for data analytics, including Amazon Redshift, Kin
Architect Data Solutions on AWS: Understand best practices and strategies to design, deploy, and maintain scalable and reliable data analytics solutions on the
Data Security and Management in AWS: Learn about AWS's robust data security measures, governance tools, and best practices to manage, store, and secure data eff
Prepare for the AWS Certification: Equip themselves with the necessary knowledge and confidence to take and pass the AWS Certified Data Analytics - Specialty ex
Requirements
Some AWS Knowledge or Real World Experience. If have at-least any other Associate Certification then it is better.
Description
In today's data-driven landscape, the ability to efficiently analyze and harness data's power is invaluable. AWS, being a front-runner in cloud services, offers a suite of tools tailored for this very purpose. Our "Mastering AWS Analytics: From Basics to Certification Success" course is meticulously designed to usher you into the world of AWS Data Analytics, ensuring you leave with both foundational knowledge and expert insights.Starting with an overview of the AWS ecosystem, this course dives deep into the core analytics services like Amazon Redshift, Kinesis, Athena, and Quicksight. Each module is structured to provide clarity on how these tools fit into the broader analytics workflow, the problems they solve, and the best practices to implement them efficiently.Moreover, for those aiming to achieve the AWS Certified Data Analytics - Specialty certification, this course serves as a roadmap. Beyond mere tool knowledge, we delve into data security, management, and architectural best practices on AWS, vital for the certification and real-world applications.Whether you're a data professional wanting to expand your horizons, an AWS enthusiast aiming to add another feather to your cap, or a beginner eager to step into the world of cloud analytics, this course is for you. Join us in this journey to demystify AWS Data Analytics, and let's together unlock the potential of data in the cloud!
Overview
Section 1: Domain 1: Collection
Lecture 1 Kinesis Data Streams
Lecture 2 Kinesis Data Firehose
Lecture 3 Kinesis Data Analytics
Lecture 4 AWS Data Migration Service (DMS)
Lecture 5 Amazon Simple Queue Service (SQS)
Lecture 6 Amazon MQ
Lecture 7 Amazon Simple Notification Service (SNS)
Lecture 8 AWS Direct Connect
Lecture 9 AWS Snow Family
Section 2: Domain 2: Storage and Data Management
Lecture 10 S3 - Part 1
Lecture 11 S3 - Part 2
Lecture 12 S3 - Part 3
Lecture 13 Amazon S3 - Part 4
Lecture 14 DynamoDB - Part 1
Lecture 15 DynamoDB - Local Secondary Indexes (LSI) and Global Secondary Indexes (GSI)
Lecture 16 DynamoDB Accelerator (DAX)
Lecture 17 DynamoDB Read Capacity Units (RCUs) and Write Capacity Units (WCUs)
Lecture 18 Amazon RDS
Lecture 19 Amazon Elasticache
Section 3: Domain 3: Processing
Lecture 20 AWS Glue - Part 1
Lecture 21 AWS Glue - Part 2
Lecture 22 AWS Glue - Part 3
Lecture 23 Elastic MapReduce (EMR)
Lecture 24 AWS Lambda
Lecture 25 AWS Step Functions
Lecture 26 AWS Lake Formation
Section 4: Domain 4: Analysis and Visualization
Lecture 27 Amazon Athena - Part 1
Lecture 28 Amazon Athena - Part 2
Lecture 29 Redshift - Part 1
Lecture 30 Redshift - Part 2
Lecture 31 Redshift - Part 3
Lecture 32 Amazon OpenSearch
Lecture 33 Amazon QuickSight
Section 5: Practice Questions and Answers with Explanations
Lecture 34 Part 1 - 10 Questions
Lecture 35 Part 2 - 10 Questions
Lecture 36 Part 3 - 10 Questions
Lecture 37 Part 4 - 10 Questions
Lecture 38 Part 5 - 10 Questions
Lecture 39 Part 6 - 10 Questions
Lecture 40 Part 7 - 10 Questions
Lecture 41 Part 8 - 10 Questions
Lecture 42 Part 9 - 10 Questions
Lecture 43 Part 10 - 10 Questions
Lecture 44 Part 11 - 10 Questions
Lecture 45 Part 12 - 10 Questions
Lecture 46 Part 13 - 10 Questions
Lecture 47 Part 14 - 10 Questions
Anyone wanting to get AWS Certified Data Analytics - Specialty
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