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Aws Certified Big Data Specialty Exam




Amazon AWS Computer Courses


All Job Seekers


Both Classroom and Online Classes


Week Days and Week Ends

Duration :

2 Months

Amazon AWS Objectives

•How to secure Amazon AWS services.
•Build and run your first application in Amazon AWS.
•Learn how to integrate and customize Amazon AWS code.
•Build deploy and run your Amazon AWS configuration and code.
•Learn How to interact with Amazon AWS, Step By Step
•Will be able to write error free programs in Amazon AWS
•Components states props how to pass variables between components in Amazon AWS.
•Learn Amazon AWS – A super fun way to improve your programming skills
•Learn Amazon AWS programming in easy steps from begining to advanced with example based training approach

aws certified big data specialty exam Course Highlights

•Career guidance providing by It Expert
•Free technical support for students
•Get Certified at the Best Training Institute.
•Regular Brush-up Sessions of the previous classes
•Assignments and test to ensure concept absorption.
•Hands On Experience – will be provided during the course to practice
•Every class will be followed by practical assignments which aggregates to minimum 60 hours.
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Amazon AWS

• Mvc Developer, Mvc Lead, Java Developer(spring), Ui Developer, Ui Lead, Data Architect
•delphi, wpf, Oracle Forms, wlan, wifi, wimax, nms, ems, oss, Big Data, hadoop, dpi, snmp, c, Cloud Computing, Vlsi, Data Structure, Algorithm
•Magento, Java, Adfs, Mule Esb, Dell Boomi, Backend Developer, Sap Bo, Sap Apo, .Net, L2 Deveoper, Python Developer, Quality Assurance Engineering, Etl
•Python, Odoo, Openerp, Odoo 8, Open Erp, .Net, Java Jsp, Software Development, Android App, Ios App Developer, Android, IOS
•SQL Developer, Oracle Developer, Tibco, Datawarehousing, Automation Testing, Websphere Admin, Weblogic Support, Python, Netezza, Actuate, Hadoop


•What is RedShift?
•What is Columnar Database?
•RedShift Nodes and Slices
•Cost of RedShift and Node Types
•Creating RedShift Cluster
•Connecting to Cluster using Query Editor
•Connecting to Cluster using SQLWorkBenchJ
•COPY Command
•COPY Command PART
•Creating Tables and Loading data into Tables
•Splitting Files
•Verifying Data
•Create Snapshot and Delete Cluster
•Restore from Snapshot
•Sharing Snapshot
•Redshift Distribution Styles
•RedShift Users and Groups
•What is WLM?
•WLM Demo
•RedShift Views
•RedShift Compression Types
•Vaccum Process
•RedShift DataTypes
•AWS Lambda
•Creating a Lambda Function
•AWS Lambda Settings
•Lambda Triggers – SNS to AWS Lambda
•SNS to AWS Lambda Testing
•Benefits of Kinesis Streams
•Use Cases
•Kinesis Create Stream, PutRecord, GetRecord Demo
•Shards, Partition Key, Sequence Numbers
•Shard Scaling
•Kinesis Split Shards
•Merge Shards
•Kinesis Agent
•KPL Key Terms
•KPL Demo
•KPL Demo Commands
•KCL Architecture
•Checkpointing using KCL
•KCL Demo
•Kinesis Firehose Demo
•Amazon Machine Learning
•What is Machine Learning?
•Supervised Learning
•Unsupervised Learning
•Getting familier with our Data using QuickSight
•Create DataSource
•Evaluating Model
•Real Time Prediction
•Batch Prediction
•Prediction Data
•Service Limits
•Deleting Objects
•Core Hadoop
•HDFS Overview
•HDFS Read
•HDFS Write
•Write Files to EMRFS Demo
•Map Reduce Example – Word Count
•Map Reduce Demo on EMR
•Hive Demo
•Hive Queries for Demo
•SerDe Serializer DeSerializer
•Presto Demo
•Hive and DynamoDB
•EMR Architecture
•EMR Cluster Life Cycle
•EMR Autoscaling
•Spark On EMR
•Introduction to Spark
•Hadoop vs Spark
•Spark Ecosystem
•What is Amazon Athena?
•Query S3 Data using Athena
•Athena Partitions
•Athena Queries
•S3 Event Notifications
•S3 Server Side Encryption –
•Create DataPipeline
•Componenets of DataPipeline
•What is DynamoDB?
•DynamoDB Partition Key and Sort Key
•DynamoDB Operations
•Scan and GetItem
•GSI and Queries
•DynamoDB Capacities
•DynamoDB Streams
•Data Types
•DynamoDB Global Tables
•What is QuickSight
•Preparing DataSet
•Creating Analysis
•Modify Visuals
•Create Dashboard
•What is SPICE?
•DataSources Supported by QuickSight
•Amazon Elasticsearch Service
•What is Amazon Elasticsearch Service?
•Elastisearch Use Cases
•Master Node and Domain in ES
•Elasticsearch Demo
•Autoscaling using SQS
•What is Snowball?
•Create Job
•Transfer Data
•Snowball Pricing (Optional)
•Creating Trail and Viewing Events
•IAM for CloudTrail
•CloudTrail logs to CloudWatch
•AWS Glue
•Crawling S3 Data using AWS Glue
•Creating RedShift Cluster, Security Group and VPC Endpoint
•Crawling RedShift Data
•Crawling RedShift Data –
•Copying Data from S3 to RedShift Using Glue Jobs
•Copying Data from S3 to RedShift Using Glue Jobs –
•Lab – Setting up IOT
•Lab – Testing
•Lab – Creating Rule
•Lab – Sending Data to AWS IOT
•Additional Materials
•Practice Exam
•ReInvent Video Links
•AWS White Papers
•More Hands On Labs
•Flight Data Analysis –
•RedShift Compression Demo
•KMS Demo
•Encrypting Data using KMS