AWS Redshift Certification Training
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Learners : 1080
Duration : 30 Days
About Course
My AWS Redshift is a petabyte-scale cloud-based data warehouse software intended for massive data set storage and analysis. It is fully managed. Additionally, it is utilized to carry out extensive database migrations. Users may access data in real-time because of Redshift’s column-oriented database’s ability to connect to SQL-based clients and business intelligence tools. Based on Redshift, it offers quick performance and effective querying to assist teams in producing reliable business analyses and choices. Enrol today to earn your certification.
AWS Redshift Training Course Syllabus
Amazon Web Services Stack
Introduction to Amazon DATABASE
AWS Redshift – Data Warehouse-as-a-Service
Features
Pricing
Clusters
Leader and Compute Nodes
Node Slices
Columnar Storage for performance
Economics of Redshift
Common Use cases
Launch a new Redshift Cluster
Modifying a Cluster – resize, showdown, delete, reboot.
Security Groups.
Parameter groups.
Database Encryption.
Backup and recovery – creating manual snapshots and automatic snapshots.
Authorize access to Cluster
Getting Information about Cluster Configuration.
Database Audit Logging
Install and configure client SQL tools using
Create Database, Users, user groups, permissions, and access controls.
Connect to Redshift Cluster
Load sample data into the cluster
Create and test queries against the data
Analyzing cluster Performance data
Analyze query execution
Creating Alarm and working with performance metrics
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
Using Copy to Load data
Loading data from S3
Using a Manifest to Specify Data Files
Loading Compressed Files
Loading Fixed-Width Data
Insert, Select, Update, Delete
Deep Copy
System Tables for Troubleshooting Data Loads
Unloading Data to Amazon S3
Unloading Data in Delimited or Fixed-Width Format
Reloading Unloaded Data
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 QueuesDynamic 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
Build custom ETL and/or ELT framework from an OLTP db to Redshift
Limitations and Best Practices for Redshift Data warehouse implementation.
Live Instructor Based Training With Software |
Lifetime access and 24×7 support |
Certification Oriented content |
Hands-On complete Real-time training |
Get a certificate on course completion |
Flexible Schedules |
Live Recorded Videos Access |
Study Material Provided |
AWS Redshift Training - Upcoming Batches
7th NOV 2022
8 AM IST
Coming Soon
AM IST
5th NOV 2022
8 AM IST
Coming Soon
AM IST
Don't find suitable time ?
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
AWS Redshift Training FAQ'S
The fully managed big data warehouse service Amazon Web Service (AWS) Redshift is fast and powerful enough to process and manage data in the exabyte range. By the business ParAccel (later bought by Actian), which handles large-scale data sets and database migrations, Redshift was created. It offers a cost-effective and effective data solution using massive parallel processing (MPP) technology. Redshift’s most well-known application is for gathering the most recent business and consumer insight.
The major benefits provided by AWS Redshift include:
In-built security with end-to-end encryption.
Multiple query support that provides significant query speed upgrades.
It provides an easy-to-use platform that is similar to MySQL and provides the usage of PostgreSQL, ODBC, and JDBC.
It offers Automated backup and fast scaling with fewer complications.
It is a cost-effective warehousing technique.
The extraction and loading of CSV (Comma Separated Values) files is made easier by AWS Data Pipeline. For CSV loading, AWS Data Pipelines relieves the strain of assembling a difficult ETL solution. It provides template activities to efficiently complete DML (data manipulation) operations.
To load the CSV file, we must copy the CSV data from the host source and paste that into Redshift via RedshiftCopyActivity.
Get ahead in your career by learning AWS RedShift through VISWA Online Trainings
The ‘Show table’ keyword lists the tables in Amazon Redshift. It displays the table schema along with table and column constraints. Syntax:
SHOW TABLE [schema.]table_name
The simplest and fastest cloud data warehouse is Amazon Redshift, which offers three times better pricing performance than competing data warehouses. Redshift provides businesses with datasets ranging in size from gigabytes to exabytes with quick query performance at a comparatively low cost.