4.6 out of 5 rating Last updated 14/11/2024 English
Interested in available dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.
1 Days
6 CPD hours
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
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.
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.The 1 day. Building Data Analytics Solutions Using Amazon Redshift training course give you up to 6 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.
Yes the Building Data Analytics Solutions Using Amazon Redshift is appropriate for someone looking to use AWS in a professional workspace or environment. But do make sure to note any prerequisites, read the course outline to ensure it is the right fit for you or your teams requirements and preferences.
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
Yes we provide corporate training, dedicated training and closed classes for the Building Data Analytics Solutions Using Amazon Redshift. This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.
The Building Data Analytics Solutions Using Amazon Redshift training takes place over 1 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.
Yes, the discount code PENPAL5 is currently available for the Building Data Analytics Solutions Using Amazon Redshift training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.
When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.
Great course yesterday and can’t give enough amazing feedback for John. I’ve never had a teacher hold attention of a class from start to finish, but yesterday he did this.
Vistra
Alan delivered the training in an easy to understand and pleasant manner which was broken down into manageable chunks with an appropriate number of breaks to give folk time away from their laptops and screens. It is never easy to do 2 days of training on a fairly in-depth subject involving Software even in a classroom environment and remaining focused and engaged so doing it remotely adds another level of complexity, but I have to say that personally this was one of the best Training Events that I have attended for some years. I have gained so much knowledge of MS Project and it will certainly make my job easier going forward.
A large part of what I gained has to be credited to Alan’s manner and delivery and I should be grateful if you could pass on my thanks to him.
Also, the support, together with joining instructions & training literature etc from Nexus Human has been excellent – thank you for that. I intend feeding that back to our People and ICT Teams too
December 2023
Kerry, Ireland
ITC Group
Dublin
Nexus Human Classroom Student
Excellent interaction and answered all of my questions. Looking forward to being able to apply some of the tips and features learned today which hopefully should have real impact on some of the more time consuming tasks currently encountered.
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