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AWS Certified Data Analytics Specialty 2023 - Hands On!

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Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer,Sundog Education by Frank Kane,Frank Kane,Sundog Education Team

16:10:16

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  • 001 Course Overview.mp4
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  • 002 Introducing our Hands-On Case Study Cadabra.com.mp4
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  • 003 Udemy 101.mp4
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  • 004 Get the Course Materials.html
  • 005 Cost of the Course + AWS Budget Setup.mp4
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  • 001 Collection Section Introduction.mp4
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  • 002 Kinesis Data Streams Overview.mp4
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  • 003 Kinesis Producers.mp4
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  • 004 Kinesis Consumers.mp4
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  • 005 Kinesis Data Streams - Hands On.mp4
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  • 006 Kinesis Enhanced Fan Out.mp4
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  • 007 Kinesis Scaling.mp4
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  • 008 Kinesis - Handling Duplicate Records.mp4
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  • 009 Kinesis Security.mp4
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  • 010 Kinesis Data Firehose.mp4
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  • 011 CloudWatch Subscription Filters with Kinesis.mp4
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  • 012 [Exercise] Kinesis Firehose, Part 1.mp4
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  • 014 [Exercise] Kinesis Firehose, Part 3.mp4
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  • 015 Troubleshooting Info for the Following Exercise.html
  • 016 [Exercise] Kinesis Data Streams.mp4
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  • 017 SQS Overview.mp4
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  • 018 Kinesis Data Streams vs SQS.mp4
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  • 019 IoT Overview.mp4
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  • 020 IoT Components Deep Dive.mp4
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  • 021 Database Migration Service (DMS).mp4
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  • 022 Direct Connect.mp4
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  • 023 Snow Family.mp4
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  • 024 MSK Managed Streaming for Apache Kafka.mp4
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  • 002 S3 Hands On.mp4
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  • 004 S3 Storage Classes - Hands On.mp4
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  • 005 S3 Lifecycle Rules.mp4
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  • 006 S3 Lifecycle Rules - Hands On.mp4
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  • 007 S3 Versioning.mp4
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  • 008 S3 Versioning - Hands On.mp4
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  • 009 S3 Replication.mp4
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  • 010 S3 Replication - Hands On.mp4
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  • 011 S3 Performance.mp4
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  • 012 S3 Encryption.mp4
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  • 013 S3 Encryption - Hands On.mp4
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  • 014 S3 Security & Bucket Policies.mp4
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  • 015 S3 Security & Bucket Policies - Hands On.mp4
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  • 016 S3 & Glacier Select.mp4
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  • 017 S3 Event Notifications.mp4
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  • 018 S3 Event Notifications - Hands On.mp4
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  • 019 DynamoDB Overview.mp4
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  • 020 DynamoDB Basics - Hands On.mp4
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  • 021 DynamoDB In Big data.mp4
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  • 022 DynamoDB RCU & WCU - Throughput.mp4
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  • 023 DynamoDB RCU & WCU - Hands On.mp4
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  • 024 DynamoDB Basic APIs.mp4
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  • 025 DynamoDB Basic APIs - Hands On.mp4
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  • 026 DynamoDB Indexes (GSI + LSI).mp4
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  • 027 DynamoDB Indexes (GSI + LSI) - Hands On.mp4
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  • 028 DynamoDB PartiQL.mp4
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  • 029 DynamoDB DAX.mp4
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  • 030 DynamoDB DAX - Hands On.mp4
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  • 031 DynamoDB Streams.mp4
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  • 032 DynamoDB Streams - Hands On.mp4
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  • 033 DynamoDB TTL.mp4
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  • 034 DynamoDB Patterns with S3.mp4
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  • 035 DynamoDB Security.mp4
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  • 036 [Exercise] DynamoDB.mp4
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  • 037 ElastiCache Overview.mp4
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  • 001 Section Introduction Processing.mp4
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  • 002 What is AWS Lambda.mp4
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  • 003 Lambda Integration - Part 1.mp4
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  • 004 Lambda Integration - Part 2.mp4
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  • 005 Lambda Costs, Promises, and Anti-Patterns.mp4
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  • 006 [Exercise] AWS Lambda.mp4
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  • 007 What is Glue + Partitioning your Data Lake.mp4
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  • 008 Glue, Hive, and ETL.mp4
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  • 009 Modifying the Glue Data Catalog from ETL Scripts.mp4
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  • 010 Glue ETL Developer Endpoints, Running ETL Jobs with Bookmarks.mp4
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  • 011 Glue Costs and Anti-Patterns.mp4
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  • 012 AWS Glue Studio.mp4
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  • 013 AWS Glue DataBrew.mp4
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  • 014 AWS Glue Elastic Views (coming soon ).mp4
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  • 015 AWS Lake Formation.mp4
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  • 016 Elastic MapReduce (EMR) Architecture and Usage.mp4
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  • 017 EMR, AWS integration, and Storage.mp4
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  • 018 EMR Promises; Intro to Hadoop.mp4
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  • 019 EMR Serverless.mp4
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  • 020 Intro to Apache Spark.mp4
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  • 021 Spark Integration with Kinesis and Redshift.mp4
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  • 022 Hive on EMR.mp4
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  • 023 Pig on EMR.mp4
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  • 024 HBase on EMR.mp4
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  • 025 Presto on EMR.mp4
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  • 026 Zeppelin and EMR Notebooks.mp4
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  • 027 Hue, Splunk, and Flume.mp4
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  • 028 S3DistCP and Other Services.mp4
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  • 029 EMR Security and Instance Types.mp4
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  • 030 [Exercise] Elastic MapReduce, Part 1.mp4
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  • 031 [Exercise] Elastic MapReduce, Part 2.mp4
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  • 032 AWS Data Pipeline.mp4
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  • 033 AWS Step Functions.mp4
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  • 001 Section Introduction Analysis.mp4
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  • 002 Intro to Kinesis Analytics.mp4
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  • 003 Kinesis Analytics Costs; RANDOM CUT FOREST.mp4
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  • 004 [Exercise] Kinesis Analytics, Part 1.mp4
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  • 005 [Exercise] Kinesis Analytics, Part 2.mp4
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  • 006 [Exercise] Kinesis Analytics, Part 3.mp4
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  • 007 [Exercise] Kinesis Analytics, Part 4.mp4
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  • 008 Note Amazon Elasticsearch has been renamed to Amazon OpenSearch.html
  • 009 Intro to Opensearch (formerly Elasticsearch).mp4
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  • 010 Amazon Opensearch Service.mp4
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  • 011 Opensearch Index Management and Designing for Stability.mp4
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  • 012 Amazon Opensearch Service Performance.mp4
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  • 013 [Exercise] Amazon Opensearch Service.mp4
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  • 014 Intro to Athena.mp4
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  • 015 Athena and Glue, Costs, and Security.mp4
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  • 016 Athena Performance.mp4
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  • 017 Athena ACID Transactions.mp4
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  • 018 [Exercise] AWS Glue and Athena.mp4
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  • 019 Redshift Intro and Architecture.mp4
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  • 020 Redshift Spectrum and Performance Tuning.mp4
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  • 021 Redshift Durability and Scaling.mp4
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  • 022 Redshift Distribution Styles.mp4
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  • 023 Redshift Sort Keys.mp4
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  • 024 Redshift Data Flows and the COPY command.mp4
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  • 025 Redshift Integration WLM Vacuum Anti-Patterns.mp4
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  • 026 Redshift Resizing (elastic vs. classic) and new Redshift features in 2020.mp4
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  • 027 Newer Redshift Features, AQUA.mp4
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  • 028 Redshift Security Concerns.mp4
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  • 029 Redshift Serverless.mp4
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  • 030 Note, a free trial of Redshift is available.html
  • 031 [Exercise] Redshift Spectrum, Pt. 1.mp4
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  • 032 [Exercise] Redshift Spectrum, Pt. 2.mp4
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  • 033 Amazon Relational Database Service (RDS) and Aurora.mp4
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  • 001 Section Introduction Visualization.mp4
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  • 002 Intro to Amazon Quicksight.mp4
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  • 003 Quicksight Pricing and Dashboards; ML Insights.mp4
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  • 004 Quicksight Q.mp4
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  • 005 Choosing Visualization Types.mp4
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  • 006 [Exercise] Amazon Quicksight.mp4
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  • 007 Other Visualization Tools (HighCharts, D3, etc).mp4
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  • 001 Encryption 101.mp4
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  • 002 S3 Encryption (Reminder).mp4
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  • 003 KMS Overview.mp4
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  • 006 AWS Services Security Deep Dive (13).mp4
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  • 009 STS and Cross Account Access.mp4
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  • 010 Identity Federation.mp4
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  • 011 Policies - Advanced.mp4
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  • 012 CloudTrail.mp4
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  • 001 AWS Services Integrations.mp4
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  • 002 Instance Types for Big Data.mp4
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  • 003 EC2 for Big Data.mp4
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  • 004 Interacting with Data with AWS AppSync and Amazon Kendra.mp4
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  • 005 AWS Data Exchange.mp4
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  • 006 Amazon AppFlow.mp4
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  • 001 Exam Tips.mp4
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  • 002 State of Learning Checkpoint.mp4
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  • 003 Exam Walkthrough and Signup.mp4
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  • 004 Save 50% on your AWS Exam Cost!.mp4
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  • 005 Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only.mp4
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  • 001 Should you take this section of the course.html
  • 002 Machine Learning 101.mp4
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  • 003 Classification Models.mp4
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  • 004 Amazon ML Service.mp4
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  • 005 SageMaker.mp4
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  • 006 Deep Learning 101.mp4
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  • 007 Note Amazon Machine Learning Service is now deprecated!.html
  • 008 [Exercise] Amazon Machine Learning, Part 1.mp4
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  • 009 [Exercise] Amazon Machine Learning, Part 2.mp4
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  • 001 Congratulations! Now make sure youre ready.mp4
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  • 002 THANK YOU!.mp4
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  • 003 Bonus Lecture.html
    •

    Description

    Practice exam included! AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!

    What You'll Learn?

    • Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
    • Move and transform massive data streams with Kinesis
    • Store big data with S3 and DynamoDB in a scalable, secure manner
    • Process big data with AWS Lambda and Glue ETL
    • Use the Hadoop ecosystem with AWS using Elastic MapReduce
    • Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
    • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
    • Visualize big data in the cloud using AWS QuickSight

    Who is this for?

  • Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.

    • More details

    Description

    [v2023: The course has been fully updated for the latest AWS Certified Data Analytics -Specialty DAS-C01 exam, and will be kept up-to-date all of 2023. Optional content for the previous AWS Certified Big Data - Speciality BDS-C01 exam remains as well as an appendix. Happy learning! ]

    The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.

    Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we've seen. Together, they've taught over 1,500,000 people around the world. This course combines Stéphane's depth on AWS with Frank's experience in Big Data, gleaned during his 9-year career at Amazon itself. Both Frank and Stéphane have taken and passed the exam themselves on the first try.

    The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

    • Streaming massive data with AWS Kinesis

    • Queuing messages with Simple Queue Service (SQS)

    • Wrangling the explosion data from the Internet of Things (IOT)

    • Transitioning from small to big data with the AWS Database Migration Service (DMS)

    • Storing massive data lakes with the Simple Storage Service (S3)

    • Optimizing transactional queries with DynamoDB

    • Tying your big data systems together with AWS Lambda

    • Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation

    • Processing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume

    • Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow

    • Applying advanced machine learning algorithms at scale with Amazon SageMaker

    • Analyzing streaming data in real-time with Kinesis Analytics

    • Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service

    • Querying S3 data lakes with Amazon Athena

    • Hosting massive-scale data warehouses with Redshift and Redshift Spectrum

    • Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora

    • Visualizing your data interactively with Quicksight

    • Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more

    Throughout the course, you'll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. And when you're done, this course includes a practice exam that's very similar to the real exam in difficulty, length, and style - so you'll know if you're ready before you invest in taking it. We'll also arm you with some valuable test-taking tips and strategies along the way.

    Data analytics is an advanced certification, and it's best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.

    You want to go into the AWS Certified Data Analytics Specialty Exam with confidence, and that's what this course delivers. Hit the enroll button, and we're excited to see you in the course... and ultimately to see you get your certification!

    --------------------------------

    Instructor

    My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.

    I have already taught 1,500,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!

    With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Data Analytics Professional. So, let’s kick start the course! You are in good hands!

    --------------------------------

    Instructor

    Hey, I'm Frank Kane, and I'm also co-instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I'm best known for my top-selling courses in "big data", data analytics, machine learning, Apache Spark, system design, and Elasticsearch.

    I've been teaching on Udemy since 2015, where I've reached over 500,000 students all around the world!

    I've worked hard to keep this course up to date with the latest developments in AWS data analytics, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready!

    ---------------------------------

    This course also comes with:

    • Lifetime access to all future updates

    • A responsive instructor in the Q&A Section

    • Udemy Certificate of Completion Ready for Download

    • A 30 Day "No Questions Asked" Money Back Guarantee!

    Join us in this course if you want to pass the AWS Certified Data Analytics -Specialty DAS-C01 Exam and master the AWS platform!

    Who this course is for:

    • Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.

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    Data Science

    Amazon AWS

    Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
    Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
    Instructor's Courses
    Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to Big Data, Cloud & API. He's also a many-times best seller instructor on Udemy for his courses in AWS and Apache Kafka.[See FAQ below to see in which order you can take my courses]Stéphane is recognized as an AWS Hero and is an AWS Certified Solutions Architect Professional & AWS Certified DevOps Professional. He loves to teach people how to use the AWS properly, to get them ready for their AWS certifications, and most importantly for the real world. He also loves Apache Kafka. He sits on the 2019 Program Committee organizing the Kafka Summit in New York, London and San Francisco. He is also an active member of the Apache Kafka community, authoring blogs on Medium and a guest blog for Confluent.  During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!FAQ: In which order should you learn?...AWS Cloud: Start with AWS Certified Solutions Architect Associate, then move on to AWS Certified Developer Associate and then AWS Certified SysOps Administrator. Afterwards you can either do AWS Certified Solutions Architect Professional or AWS Certified DevOps Professional, or a specialty certification of your choosing.Apache Kafka: Start with Apache Kafka for Beginners, then you can learn Connect, Streams and Schema Registry if you're a developer, and Setup and Monitoring courses if you're an admin. Both tracks are needed to pass the Confluent Kafka certification.
    Sundog Education by Frank Kane
    Sundog Education by Frank Kane
    Instructor's Courses
    Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
    Frank Kane
    Frank Kane
    Instructor's Courses
    Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.
    Sundog Education Team
    Sundog Education Team
    Instructor's Courses
    Our mission is to make highly valuable skills in machine learning, big data, AI, and data science accessible at prices anyone in the world can afford. Our current online courses have reached over 500,000 students worldwide. Sundog Education CEO, Frank Kane, spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.
    Udemy
    Udemy
    View courses Udemy
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 171
    • duration 16:10:16
    • English subtitles has
    • Release Date 2023/05/05

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