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Aws Big Data

Course

AWS BIG DATA

Category

Amazon AWS Online Courses

Eligibility

Job Aspirants

Mode

Both Classroom and Online Classes

Batches

Week Days and Week Ends

Duration :

2 Months

Amazon AWS What will you learn?

•How To resolve errors in Amazon AWS.
•Explore different tools used for the Amazon AWS.
•Learn WebdriverIO Testing with real user scenario examples
•Learn about each and every major Amazon AWS component.
•Step by step tutorial to help you learn Amazon AWSLearn the Amazon AWS fundamentals you’ll be using day-in and day-outLearn and Understand Amazon AWS From a total Beginner to and Expert
•The students get hands on experience of how things happen in Amazon AWS?
•Learn Amazon AWS from beginner to advanced level. Learn with examples and interactive sessions.

aws big data Course Highlights

•Additional Sessions for Doubt Clearing
•Course has been framed by Industry experts
•Fast Track course available with best Fees
•Online Training with 100% placement assistance
•Highly Experienced Trainer with 10+ Years in MNC Company
•Access to a huge closet containing information about Hadoop
•Make aware of code competence in building extensive range of applications using Python
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Amazon AWS

•C, asp.net vb.net c# c c++, Java Developer, Php Developer, dot net c# asp.net vb.net
•Db2 Dba, SQL Dba, Java Developers, Java Lead, Firmware Developer, asp.net developer, Device Driver Developer, Hybris Developer, e Commerce Architect, ATG, WCS
•Javascript, Node.Js, Algorithms, Web Technologies, Web Server, Cloud Computing, HP Data Protector, Technical Skills, Problem Solving
•SAP CRM, SAP BI/BW, SAP FICO, .NET/MVC, JAVA/Spring, Mobile Apps Developer, IOS Developer, ETL Testing, VSTS Testing, Oracle ERP Support, Peoplesoft
•Xml Publisher, Php Developer, Android Application Development, Html Tagging, E-publishing, Software Development

AWS BIG DATA Topics

Introducing our Hands-On Case Study: Cadabra.com
•About the Upcoming AWS Certified Data Analytics Exam…
• 101
•Get the Course Materials
•Cost of the Course + AWS Budget Setup
•Domain 1: Collection
•Kinesis Data Streams Overview
•Kinesis Producers
•Kinesis Consumers
•Kinesis Enhanced Fan Out
•Kinesis Scaling
•Kinesis Security
•Kinesis Data Firehose
•[Exercise] Kinesis Firehose,
•Troubleshooting Info for the Following Exercise
•[Exercise] Kinesis Data Streams
•SQS Overview
•Kinesis Data Streams vs SQS
•IoT Overview
•IoT Components Deep Dive
•Database Migration Service (DMS)
•Direct Connect
•Snowball
•MSK: Managed Streaming for Apache Kafka
•Collection Quiz
•Domain 2: Storage
•S3 Overview
•S3 Storage Tiers
•S3 Lifecycle Rules
•S3 Versioning
•S3 Cross Region Replication
•S3 ETags
•S3 Performance
•S3 Encryption
•S3 Security
•Glacier & Vault Lock Policies
•S3 & Glacier Select
•DynamoDB Overview
•DynamoDB RCU & WCU
•DynamoDB Partitions
•DynamoDB APIs
•DynamoDB Indexes: LSI & GSI
•DynamoDB DAX
•DynamoDB Streams
•DynamoDB TTL
•DynamoDB Security
•DynamoDB: Storing Large Objects
•[Exercise] DynamoDB
•ElastiCache Overview
•Storage Quiz
•Domain 3: Processing
•Section Introduction: Processing
•What is AWS Lambda?
•Lambda Integration –
•Lambda Costs, Promises, and Anti-Patterns
•[Exercise] AWS Lambda
•Quiz: AWS Lambda
•What is Glue? + Partitioning your Data Lake
•Glue, Hive, and ETL
•Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks
•Glue Costs and Anti-Patterns
•Quiz: AWS Glue
•Elastic MapReduce (EMR) Architecture and Usage
•EMR, AWS integration, and Storage
•EMR Promises; Intro to Hadoop
•Intro to Apache Spark
•Spark Integration with Kinesis and Redshift
•Hive on EMR
•Pig on EMR
•HBase on EMR
•Presto on EMR
•Zeppelin and EMR Notebooks
•Hue, Splunk, and Flume
•S3DistCP and Other Services
•EMR Security and Instance Types
•[Exercise] Elastic MapReduce,
•[Quiz] EMR and the Hadoop Ecosystem
•AWS Data Pipeline
•AWS Step Functions
•Machine Learning: AWS Certified Big Data exam only!
•Should you take this section of the course?
•Machine Learning 101
•Classification Models
•Amazon ML Service
•SageMaker
•Deep Learning 101
•Note: Amazon Machine Learning Service is now deprecated!
•[Exercise] Amazon Machine Learning,
•Quiz: Amazon Machine Learning and SageMaker
•Domain 4: Analysis
•Section Introduction: Analysis
•Intro to Kinesis Analytics
•Kinesis Analytics Costs; RANDOM_CUT_FOREST
•[Exercise] Kinesis Analytics,
•Quiz: Kinesis Analytics
•Intro to Elasticsearch
•Amazon Elasticsearch Service
•[Exercise] Amazon Elasticsearch Service,
•Quiz: Amazon ES
•Intro to Athena
•Athena and Glue, Costs, and Security
•[Exercise] AWS Glue and Athena
•Quiz: Amazon Athena
•Redshift Intro and Architecture
•Redshift Spectrum and Performance Tuning
•Redshift Durability and Scaling
•Redshift Distribution Styles
•Redshift Sort Keys
•Redshift Data Flows and the COPY command
•Redshift Integration / WLM / Vacuum / Anti-Patterns
•Redshift Resizing (elastic vs. classic) and new Redshift features in 2020
•[Exercise] Redshift Spectrum, Pt. 1
•[Exercise] Redshift Spectrum, Pt. 2
•Quiz: Amazon Redshift
•Amazon Relational Database Service (RDS) and Aurora
•Domain 5: Visualization
•Section Introduction: Visualization
•Intro to Amazon Quicksight
•Quicksight Pricing and Dashboards; ML Insights
•Choosing Visualization Types
•[Exercise] Amazon Quicksight
•Quiz: Amazon Quicksight
•Other Visualization Tools (HighCharts, D3, etc)
•Domain 6: Security
•Encryption 101
•S3 Encryption (Reminder)
•KMS Overview
•Cloud HSM Overview
•AWS Services Security Deep Dive (1/3)
•AWS Services Security Deep Dive (2/3)
•AWS Services Security Deep Dive (3/3)
•STS and Cross Account Access
•Identity Federation
•Policies – Advanced
•CloudTrail
•VPC Endpoints
•Security Quiz
•Everything Else
•AWS Services Integrations
•Instance Types for Big Data
•EC2 for Big Data
•AWS Cleanup
•Preparing for the Exam
•State of Learning Checkpoint
•Save 50% on your AWS Exam Cost!
•Get an Extra 30 Minutes on your AWS Exam – Non Native English Speakers only
•Practice Exam
•AWS Certified Big Data / Data Analytics Specialty Practice Exam
•Wrapping Up
•Congratulations! Now make sure you’re ready.
•THANK YOU!
•Bonus Lecture: Special discounts for our other courses