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AWS Certified Big Data Specialty Certification - aretr - 07-24-2019 AWS Certified Big Data Specialty Certification | 5.47GB Big data technologies are some of the most exciting and in-demand skills. These tools power large companies such as Google and Facebook and it is no wonder AWS is spending more time and resources developing certifications, and new services to catalyze the move to AWS big data solutions. This course will provide you with much of the required knowledge needed to be prepared to take the AWS Big Data Specialty Certification. We will cover the different AWS (and non-AWS!) products and services that appear on the exam. Importantly - we will not cover material you should already have a solid understanding of such as AWS Identity and Access Management, and global infrastructure. For those foundational concepts, definitely review the AWS Certified Developer - Associate Level course here on Linux Academy. Getting Started Course Introduction 00:06:18 About the Course Author 00:01:10 About the AWS Big Data Specialty Course Exam 00:03:55 Course Features and Tools 00:04:44 Domain 1 - Collection AWS IoT IoT Overview 00:04:31 IoT Core 00:05:55 IoT Thing Registry 00:05:42 IoT Authorization and Authentication 00:08:15 IoT Message Broker 00:17:01 IoT Shadow Service 00:07:39 IoT Rules Engine 00:06:09 IoT Job Service 00:04:51 Hands-On Lab: Configuring Your First IoT Device AWS Greengrass Greengrass Overview 00:06:58 Kinesis What is Kinesis? 00:03:50 Getting Data Into Kinesis 00:07:32 Kinesis Data Streams 00:11:24 Kinesis Data Firehose 00:09:23 Kinesis Data Firehose Destinations and Creating an Example Delivery Stream 00:22:00 Kinesis Limitations and Pricing 00:09:06 Hands-On Lab: Creating and Configuring Kinesis Streams and Kinesis Firehose in AWS Hands-On Lab: Building a Pipeline to Ingest and Analyze Streaming Data AWS Direct Connect AWS Direct Connect Essentials 00:05:15 AWS Snowball and AWS Snowmobile AWS Snowball and Snowmobile Overview 00:02:01 AWS Database Migration Service AWS Database Migration Service Overview 00:06:57 Hands-On Lab: Migrating a Database Using DMS Domain 2 - Storage Amazon S3 Import S3 and DynamoDB Content Note 00:01:39 S3 Essentials 00:13:36 Moving Data to S3 with Multipart and Single Operation Uploads 00:01:55 S3 Permissions 00:13:56 Amazon S3 Encryption 00:08:07 Storage Classes and Lifecycle Policies 00:11:45 S3 Miscellany 00:04:46 S3 Performance 00:04:51 Amazon DynamoDB DynamoDB Overview 00:03:39 DynamoDB Core Concepts 00:10:23 Provisioned Throughput 00:09:40 DynamoDB Read Operations 00:04:26 Local and Global Secondary Indexes 00:09:18 Common DynamoDB Errors and Limits 00:09:49 DynamoDB Global Tables, Atomic Counters, and Conditional Writes 00:05:54 DynamoDB Pricing 00:03:38 DynamoDB Streams 00:21:25 DynamoDB and S3 Recap 00:06:18 Hands-On Lab: Creating DynamoDB Tables Hands-On Lab: Configuring DynamoDB Streams Hands-On Lab: DynamoDB Read Operation Performance Hands-On Lab: DynamoDB Tables and Global Secondary Indexes Domain 3 - Processing Amazon Elastic MapReduce (EMR) EMR Overview 00:12:31 Configuring and Launching an EMR Cluster 00:13:23 Securing an EMR Cluster 00:08:26 Working with PySpark and S3 00:14:39 Hands-On Lab: Querying EMR Using Hive Amazon Machine Learning (AML) Introduction to Amazon Machine Learning (AML) 00:04:27 Using AWS Datasources with AML 00:08:02 Training Machine Learning Models 00:15:22 Amazon SageMaker Introduction to SageMaker 00:03:45 AML vs. Amazon SageMaker 00:02:22 Lambda Lambda Overview and Processing 00:23:29 AWS Data Pipeline AWS Data Pipeline 00:22:56 AWS Glue Introduction to AWS Glue 00:07:25 Essential Big Data Tools and Concepts Overview of Big Data Tooling 00:01:06 Big Data Tools Terminology 00:04:23 Core Big Data Tools 00:09:56 Big Data Tools - GUIs and Data Exploration 00:04:48 Machine Learning Tools 00:01:59 Domain 4 - Analysis Elasticsearch ElasticSearch Overview 00:05:26 Elasticsearch Clusters and Access Policies 00:15:00 Elasticsearch and VPC 00:02:26 Elasticsearch, Kibana, and AWS Lambda 00:15:06 Hands-On Lab: Analyzing and Visualizing data with AWS Elasticsearch Service and Kibana Athena Amazon Athena Overview 00:11:28 Redshift Introduction to Amazon Redshift 00:15:53 Redshift Cluster Configuration 00:15:30 Redshift Distribution Styles 00:09:24 Redshift Column Compression 00:08:48 Choosing Redshift Sort Keys 00:11:55 Loading and Unloading Data with Redshift 00:12:27 Hands-On Lab: Migrating Redshift Data to and from S3 Kinesis Analytics Kinesis Analytics Overview 00:15:56 Domain 5 - Visualization Quicksight Quicksight Overview 00:13:10 Data Visualization Tools javascript Visualization Tools 00:04:58 Hands-On Lab: Preparing S3 Data for Public Visualizations Domain 6 - Security Access IAM Basics 00:03:24 IAM for Big Data 00:02:37 Auditing CloudTrail Essentials 00:09:51 Encryption Database Encryption 00:03:18 Course Conclusion Final Steps How to Prepare for the Exam 00:03:36 What's Next after the Certification? 00:02:00 Get Recognized 00:01:01 Practice Exam: AWS Big Data Specialty Certification - Practice Exam 02:00:00 DOWNLOAD Code: http://nitroflare.com/view/71537BE9F759079/dkbs8.AWS.Certified.Big.Data.Specialty.Certification.part1.rar Code: https://rapidgator.net/file/108437cfe34cdaa852d13b8b16cfd40b/dkbs8.AWS.Certified.Big.Data.Specialty.Certification.part1.rar |