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IT & Software Other IT & Software Redshift

A developer guide for Amazon Redshift

A complete guide to the BI developer who wants to build a datawarehouse on AWS cloud using Redshift.
Rating: 4.1 out of 54.1 (80 ratings)
4,379 students
Created by Sravan Konde
Last updated 3/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • You can master building a datawarehouse on Amazon Redshift
  • Zero to pro in less than 2 hours.

Requirements

  • Basic Database/SQL Knowledge

Description

This course covers the Architecture of Redshift, Columnar vs Row oriented databases, Introduce you to the AWS VPC, IAM role, and S3 bucket creation. You can master the SQL with best practices and learn a few admin activities which help to build an effective data warehouse. This course introduces compression/encoding techniques. You can learn to implement Workload management and monitor and tune long-running queries.


I always noticed most of the data engineers are clueless about how data is retrieved from the database. Writing an optimized query is a must when dealing with big data, understanding the architecture and the movement of the data is very important to write the best query.


Without prior knowledge on SQL, you can master the SQL and become a pro with this short 2 Hour tutorial.

Who this course is for:

  • Redshift beginners or Data warehousing beginners curious about AWS Redshift

Course content

11 sections • 35 lectures • 2h 3m total length

  • Preview00:23
  • Preview01:51

  • Redshift Architecture
    04:02

  • Creating VPC
    04:50

  • Columnar and Row oriented Databases
    04:27

  • Creating schema and tables in Redshift
    04:15

  • Preview02:39
  • Preview07:30
  • SORT in database
    01:32
  • AGGREGATE functions in database
    04:51
  • JOINS in database
    04:10
  • UNION, UNION ALL, INTERSECT and EXCEPT
    03:18
  • HAVING Clause
    01:26
  • SELECT INTO, INSERT INTO, ALTER TABLE
    04:19
  • ALTER TABLE and UPDATE
    01:59
  • Data Movement in Redshift
    04:18
  • Type Casting in Redshift
    03:29
  • COALESCE and NVL
    03:55
  • Window functions in Redshift
    04:17
  • User Defined Functions in Redshift
    02:08

  • SORT and DIST Keys
    08:22
  • Table Distribution on Redshift Cluster
    01:41
  • Distribution styles
    02:50
  • Implementing Dist keys and Sort keys on a table
    06:18

  • Primary Keys and DB Views
    03:56

  • Compression and Encoding
    12:10

  • Introduction to Workload Management
    01:04
  • WLM Query Queues
    02:31
  • WLM Concurrency
    01:39
  • WLM User Groups
    02:05
  • WLM Memory percent to Use
    Processing..
  • WLM Timeout
    02:33
  • WLM Query Queue Hopping
    03:10
  • Implementing WLM
    02:05

Instructor

Sravan Konde
Data Architect
Sravan Konde
  • 4.1 Instructor Rating
  • 80 Reviews
  • 4,379 Students
  • 1 Course

I am a data architect with more than 10 years of experience in the BI space with hands on few ETL tools (like Informatica, Ab Initio, SSIS, Talend and AWS Glue), Reporting tools(QlikView and Tableau), Data modelling tools (Erwin and Power Architect), Big data(Hadoop, Hive, Spark and Pig) and AWS(Glue, DynamoDB, Redshift, RDS, Glue, Kinesis and Lambda).

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