AWS Redshift Certification Training
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Our AWS Redshift is a fully-managed petabyte-scale cloud-based data warehouse product designed for large-scale data set storage and analysis. It is also used to perform large-scale database migrations. Redshift’s column-oriented database is designed to connect to SQL-based clients and business intelligence tools, making data available to users in real-time. Based on Redshift delivers fast performance and efficient querying that help teams make sound business analyses and decisions. Enroll now and get certified in it.
AWS Redshift Training Course Syllabus
✔ Amazon Web Services Stack
✔ Introduction to Amazon DATABASE
✔ AWS Redshift – Data Warehouse-as-a-Service
✔ 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|
|Live Recorded Videos Access|
|Study Material Provided|
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AWS Redshift Training FAQ'S
Amazon Web Service(AWS) Redshift is a fully managed big data warehouse service in the cloud that is rapid and potent enough to process and manage data in the range of exabytes. Redshift is built to handle large-scale data sets and database migrations by the company ParAccel (later acquired by Actian). It uses massive parallel processing (MPP) technology and provides a cost-effective and efficient data solution. The famous usage of Redshift is acquiring the latest insight for business and customers.
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.
AWS Data Pipeline facilitates the extraction and loading of CSV(Comma Separated Values) files. Using AWS Data Pipelines for CSV loading eliminates the stress of putting together a complex ETL system. It offers template activities to perform DML(data manipulation) tasks efficiently.
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
Amazon Redshift is the easiest and fastest cloud data warehouse which facilitates 3 times better price performance than other data warehouses. Redshift offers fast query performance at a comparatively modest cost to firms where datasets range in size from gigabytes to exabytes.