Name: Building Data Analytics Solutions Using Amazon Redshift
Availability: InStock
Rating: 4.6 (5878 reviews)

Duration:

8.00 hours

6.5 CPD hours

Overview:

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

Description:

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

Course Outline:

Module A: Overview of Data Analytics and the Data Pipeline

Data analytics use cases
Using the data pipeline for analytics

Module 1: Using Amazon Redshift in the Data Analytics Pipeline

Why Amazon Redshift for data warehousing
Overview of Amazon Redshift

Module 2: Introduction to 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

Module 3: Ingestion and Storage

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

Module 4: Processing and Optimizing Data

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

Module 5: Security and Monitoring of Amazon Redshift Clusters

Securing the Amazon Redshift cluster
Monitoring and troubleshooting Amazon Redshift clusters

Module 6: Designing Data Warehouse Analytics Solutions

Data warehouse use case review
Activity: Designing a data warehouse analytics workflow

Module B: Developing Modern Data Architectures on AWS

Modern data architectures

, Module A: Overview of Data Analytics and the Data Pipeline, Module 1: Using Amazon Redshift in the Data Analytics Pipeline, Module 2: Introduction to Amazon Redshift, Module 4: Processing and Optimizing Data, Module 5: Security and Monitoring of Amazon Redshift Clusters, Module 6: Designing Data Warehouse Analytics Solutions, Module 3: Ingestion and Storage, Data API, Module B: Developing Modern Data Architectures on AWS

Additional Information:

Nexus Humans Building Data Analytics Solutions Using Amazon Redshift training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Building Data Analytics Solutions Using Amazon Redshift course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Skills Taught:

In this course, you will learn to:

- Compare the features and benefits of data warehouses, data lakes, and modern data architectures
- Design and implement a data warehouse analytics solution
- Identify and apply appropriate techniques, including compression, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store data
- Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
- Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
- Secure data at rest and in transit
- Monitor analytics workloads to identify and remediate problems
- Apply cost management best practices

Available Delivery Options for Building Data Analytics Solutions Using Amazon Redshift

Live Instructor Led Classroom Online (Live Online)
Traditional Instructor Led Classroom training (TILT/ILT)
Delivery at your offices in United Kingdom
Private dedicated course for your staff

How many CPD hours does Building Data Analytics Solutions Using Amazon Redshift provide?

The 1 day Building Data Analytics Solutions Using Amazon Redshift course gives you up to 6.5 CPD hours/structured learning hours.

Who is the correct audience for Building Data Analytics Solutions Using Amazon Redshift?

This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.
Completed either AWS Technical Essentials or Architecting on AWS
Completed Building Data Lakes on AWS

Do you provide training for Building Data Analytics Solutions Using Amazon Redshift?

Yes, we provide corporate training, dedicated training and closed classes for Building Data Analytics Solutions Using Amazon Redshift. This can take place anywhere in United Kingdom including London, Manchester, Birmingham, Edinburgh or live online.

What is the duration of Building Data Analytics Solutions Using Amazon Redshift?

The Building Data Analytics Solutions Using Amazon Redshift training takes place over 1 day(s), with each day lasting approximately 8.00 hours including breaks.

What other terms do people search for?

Popular related searches include: Building Data Analytics Solutions Using Amazon Redshift, Data Analysis, BDASAR, Amazon Web Services, vILT

Why are Nexus Human the best provider for Building Data Analytics Solutions Using Amazon Redshift?

Nexus Human are recognised as one of the best training companies. Our trainers have won awards including Small Firms Best Trainer, national training partner of the year for Ireland, and global top 30 instructor awards in 2012, 2019 and 2021.

Is there a discount code for Building Data Analytics Solutions Using Amazon Redshift?

Yes, the discount code PENPAL5 is currently available for Building Data Analytics Solutions Using Amazon Redshift training. Only one discount code can be used per booking.

Building Data Analytics Solutions Using Amazon Redshift