Cisco Training Courses

Cisco Training Courses

Insoft has been serving IT industry with authorized Cisco courses training, since 2010. Find all the relevant information on Cisco training on this page.

View More

Cisco Certifications

Experience a blended learning approach that combines the best of instructor-led training and self-paced e-learning to help you prepare for your certification exam.

View More

Cisco Learning Credits

Cisco Learning Credits (CLCs) are prepaid training vouchers redeemed directly with Cisco that make planning for your success easier when purchasing Cisco products and services.

Have CLCs and want to redeem them?

Cisco Continuing Education

The Cisco Continuing Education Program offers all active certification holders flexible options to recertify by completing a variety of eligible training items.

View More

Cisco U

Cisco U. is customized to achieve your learning needs as this provides learning paths that includes wide range of topics, including CCNA, Cloud and Network Automation Essentials.

Browse Catalogue

Cisco Business Enablement

The Cisco Business Enablement Partner Program focuses on sharpening the business skills of Cisco Channel Partners and customers.

View More

Fortinet Technical Certifications

Insoft Services´ training capabilities rely on the excellence of our exclusive Fortinet Certified Trainers (FCT). We are dedicated to providing high-quality training to Fortinet Customers and Partners.

View More

Fortinet Technical Courses

Insoft is recognised as Fortinet Authorized Training Center in selected locations across EMEA.

View More

ATC Status

Check our ATC Status across selected countries in Europe.

View More

Fortinet Services Packages

Insoft Services has developed a specific solution to streamline and simplify the process of installing or migrating to Fortinet Products.

Browse Packages

Prepforce Bootcamp

The only comprehensive source available today to prepare for Fortinet NSE 8 certification globally.

View More

Microsoft Training

Insoft Services provides Microsoft training in EMEAR. We provide Microsoft technical training and certification courses that are led by world-class instructors.

View More

Technical Training

The evolution of Extreme Networks Technical Training provides a comprehensive progressive pathway from Associate to Professional accreditation.

View More

ATP Accreditation

As an authorised training partner (ATP), Insoft Services ensures that you receive the highest standards of education available.

View More

Technical Training

The training includes self-paced labs for hands-on AWS practice in real-life scenarios, allowing you to learn at your own pace, in class, at work, or online.

View More

AWS Certifications

Having AWS certification means being on top of new and emerging cloud computing technologies that guide business transformation and growth, giving IT professionals and enthusiasts a significant advantage.

View More

AWS Certification Track

Explore AWS certifications designed for diverse roles, offering career growth, skill enhancement, and practical exam preparation to excel in cloud computing and AI technologies.

View More

What we do

Through our global presence and partner ecosystem, we provide strategic IT consulting services to align IT services with customers' business goals.

View More

 

We are pleased to launch pre-scoped Enterprise Networking Consulting Packages, our ready-made solutions, tailored to ensure efficiency and cost containment.

 

View More

 

We specialize in the deployment of vendor-specific automation tools as well as open-source and vendor-independent solutions, that can be tuned in accordance with the business needs of a specific organization.

 

View More

 

We provide comprehensive IoT consultancy, deployment and support solutions for businesses that want to launch or improve their use of connected technologies.

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

View More

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

View More

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

 

View More

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

 

View More
Cisco Training Courses

 

We provide the highest level of expertise on Cisco consultancy services, that target audits of your current network and implementing updates for improved operational performance, secure data and compliant systems.

View More

 

We provide the highest level of expertise on Fortinet consultancy services that target audits of your current network and implementing updates for improved operational performance, secure data and compliant systems.

View More

 

Our team can help enterprises, get the most value from Extreme products and services following our predefined value-added packages or custom ones that fits business needs.

 

View More

 

TXOne Networks provides cybersecurity solutions that ensure the reliability and safety of ICS and OT environments through the OT zero trust methodology protecting assets for their entire life cycle.

 

View More

About Us

Our training portfolio includes a wide range of IT training from IP providers, including Cisco, Extreme Networks, Fortinet, Microsoft, to name a few, in EMEA.

View More

Building Data Analytics Solutions Using Amazon Redshift

Contact Us

We would love to hear from you. Please complete this form to pre-book or request further information about our delivery options.

Data Protection & Privacy

I consent to receive emails and/or calls from Insoft Services related to the Insoft Services´ products and services.
I acknowledge that my data will be collected and processed as described in the Insoft Services privacy policy.

Close

Building Data Analytics Solutions Using Amazon Redshift

Enroll Now
Building Data Analytics Solutions Using Amazon Redshift
Duration
1 Day
Delivery
(Online and onsite)
Price
Price Upon Request

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 level: Intermediate

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

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

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

This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.

Students with a minimum one-year experience managing data warehouses will benefit from this course.
We recommend that attendees of this course have:

  • Completed either AWS Technical Essentials or Architecting on AWS
  • Completed Building Data Lakes on AWS
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 level: Intermediate

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

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

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

This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.

Students with a minimum one-year experience managing data warehouses will benefit from this course.
We recommend that attendees of this course have:

  • Completed either AWS Technical Essentials or Architecting on AWS
  • Completed Building Data Lakes on AWS