Learn to build & manage data analytics pipelines
8 hours of training program with eight modules
Integrate Amazon Redshift with a data lake
Guided instructive sessions from expert trainers
Includes interactive demos, practice labs & class exercises
Flexible learning & easy payment options available
What you will learn:
Upcoming sessions
Data analytics use cases
Using the data pipeline for analytics
Why Amazon Redshift for data warehousing?
Overview of Amazon Redshift
Amazon Redshift architecture
Interactive Demo 1: Touring the Amazon Redshift console
Amazon Redshift features
Practice Lab 1: Load and query data in an Amazon Redshift cluster
Ingestion
Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API
Data distribution and storage
Interactive Demo 3: Analyzing semi-structured data using the SUPER data type
Querying data in Amazon Redshift
Practice Lab 2: Data analytics using Amazon Redshift Spectrum
Data transformation
Advanced querying
Practice Lab 3: Data transformation and querying in Amazon Redshift
Resource management
Interactive Demo 4: Applying mixed workload management on Amazon Redshift
Automation and optimization
Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster
Securing the Amazon Redshift cluster
Monitoring and troubleshooting Amazon Redshift clusters
Data warehouse use case review
Activity: Designing a data warehouse analytics workflow
Modern data architectures
After you complete this training, you will be able to:
1
Discover how Redshift supports modern data analytics and processing
2
Manage semi-structured formats using Redshift’s SUPER data type features
3
Run queries across large datasets using Redshift Spectrum integration
4
Tune & resize clusters to boost overall Redshift performance
5
Understand Redshift data distribution methods for efficient data handling
To enrol in this Building Data Analytics Solutions Using Amazon Redshift course in Ethiopia, candidates must fulfil these eligibility requirements:
Overall ratings by our students
The Building Data Analytics Solutions Using Amazon Redshift Training in Ethiopia is all about teaching professionals ways to design, build, and manage data analytics pipelines using Amazon Redshift. You learn to import, transform, and analyse large datasets, using tools like Redshift Spectrum and the SUPER data type.
This Building Data Analytics Solutions Using Amazon Redshift course is beneficial to professionals from various fields, like -
Professionals are issued a 100% refund upon withdrawing from the course within two days of registering by submitting a written request. The refund is processed within four weeks of approval.
The course structure enables professionals to work with large, structured, and semi-structured datasets. The training also shows ways to connect Redshift with Amazon S3 for external data access.
The Building Data Analytics Solutions Using Amazon Redshift Training explains both automation and performance tuning. The course covers topics like -
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