Amazon RedShift Training in San Francisco CA US

This program will teach you all the fundamentals of cloud computing as well as Amazon Web Services cloud and AWS Redshift through a mixture of lectures, demonstrations, and hands-on exercises. By the end of the course you will have enough hands-on experience with Amazon Web Services to be able to deploy, configure and secure your own scalable web applications on the Amazon cloud. You will also be able to pro-grammatically create and manage AWS services using the AWS APIs. Enroll & Get Certified now!

  • ✔ Course Duration : 32 hrs
  • ✔ Training Options : Live Online / Self-Paced / Classroom
  • ✔ Certification Pass : Guaranteed

Amazon RedShift Training in San Francisco CA US

This program will teach you all the fundamentals of cloud computing as well as Amazon Web Services cloud and AWS Redshift through a mixture of lectures, demonstrations, and hands-on exercises. By the end of the course you will have enough hands-on experience with Amazon Web Services to be able to deploy, configure and secure your own scalable web applications on the Amazon cloud. You will also be able to pro-grammatically create and manage AWS services using the AWS APIs.

What you will Learn

  • Understand all aspects of Cloud Computing
  • Understand the architecture and components of Amazon Web Services
  • Deploy scalable web applications on the Amazon Web Services cloud
  • Get hands-on training with the key services provided by AWS
  • Understand the AWS‘s data warehouse-as-a-service offering Redshift and how to use the same along with BI tools.

PREREQUISITES

  • To benefit from this Amazon Web Services course, you will need to have basic IT application development and deployment concepts, and good understanding of data warehousing and analytic tools, prior to attending.

CURRICULUM

Learning Objectives:
  • Amazon Web Services Stack
  • Introduction to Amazon DATABASE
Learning Objectives:
  • AWS Redshift – Data Warehouse-as-a-Service
  • Features
  • Pricing
Learning Objectives:
  • Clusters
  • Leader and Compute Nodes
  • Node Slices
  • Columnar Storage for performance
  • Economics of Redshift
  • Key differentiators
  • Common Use cases
Learning Objectives:
  • Launch a new Redshift Cluster
  • Modifying a Cluster – resize, showdown, delete, reboot.
  • Security Groups.
  • Parameter groups.
  • Database Encryption.
  • Backup and recovery – creating manual snapshot and automatic snapshots.
  • Authorize access to Cluster
  • Getting Information about Cluster Configuration.
  • Database Audit Logging
Learning Objectives:
  • JDBC and ODBC interfaces
  • Install and configure client SQL tools using JDBC and/or ODBC drivers
  • Create Database, Users, user groups, permissions and access controls.
  • Connect to Redshift Cluster
  • Load sample data into cluster
  • Create and test queries against the data
Learning Objectives:
  • Analyzing cluster Performance data
  • Analyze query execution
  • Creating Alarm and working with performance metrics
Learning Objectives:
  • DDL SQL – Creating Tables, Alter tables, Drop tables.
  • LIMITATIONS and what is implemented differently.
  • Selecting distribution Style and distribution keys.
  • Selecting Sort Key.
  • Choose best Distribution key covering various use cases
  • Choosing best sort keys covering various use cases.
  • Choosing a column compression type.
  • Define constraints
Learning Objectives:
  • Using Copy to Load data
  • Loading data from S3
  • Using a Manifest to Specify Data Files
  • Loading Compressed Files
  • Loading Fixed-Width Data
  • Loading Multi-byte Data
  • Loading Encrypted Data Files
  • Loading from JSON files.
Learning Objectives:
  • Insert, Select, Update, Delete
  • Deep Copy
  • LIMITATIONS Troubleshooting
  • S3ServiceException Errors
  • System Tables for Troubleshooting Data Loads
  • Multi-byte Character Load Errors
  • Error Reference
Learning Objectives:
  • Unloading Data to Amazon S3
  • Unloading Encrypted Data Files
  • Unloading Data in Delimited or Fixed-Width Format
  • Reloading Unloaded Data
Learning Objectives:
  • Query Processing
  • Query Planning And Execution Workflow
  • Reviewing Query Plan Steps
  • Query Plan
  • Factors Affecting Query Performance
  • Analyzing and Improving Queries
  • Query Analysis Workflow
  • Reviewing Query Alerts
  • Analyzing the Query Plan
  • Analyzing the Query Summary
  • Improving Query Performance
  • Diagnostic Queries for Query Tuning
  • Implementing Workload Management
  • Defining Query Queues
  • Modifying the WLM Configuration
  • WLM Queue Assignment Rules
  • Assigning Queries to Queues
  • Dynamic and Static Properties
  • Monitoring Workload Management
  • Configuring WLM Queues to Improve Query Processing
  • Troubleshooting Queries
  • Building Admin queries from system tables to analyze performance.
  • Migration of Existing BI Systems to Redshift
  • Data Loading from OLTP databases to Redshift and Limitations.
  • ETL and ELT on Redshift.
  • Limitations from industry standard Integration and BI tools w.r.t Redshift.
  • Build custom ETL and/or ELT framework from an OLTP db to Redshift
  • Use Powershell /Python AWS SDK’s for loading data from SQL Server/ORACLE/Postgres to Redshift through S3.
  • Limitations and Best Practices for Redshift Data warehouse implementation.

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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