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Building Data Analytics Solutions Using Amazon Redshift [GK7379]
VIRTUAL TRAINING CENTER
vr 12 jun. 2026
en 5 andere data
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.
OBJECTIVES
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
AUDIENCE
This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.
CONTENT
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
€795
Klassikaal
max 16
MLOps Engineering on AWS [GK7395]
VIRTUAL TRAINING CENTER
ma 17 aug. 2026
en 3 andere data
OVERVIEW
This course builds upon and extends the DevOps methodology prevalent in software development to build, train, and deploy machine learning (ML) models. The course is based on the four-level MLOPs maturity framework. The course focuses on the first three levels, including the initial, repeatable, and reliable levels. The course stresses the importance of data, model, and code to successful ML deployments. It demonstrates the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course also discusses the use of tools and processes to monitor and take action when the model prediction in production drifts from agreed-upon key performance indicators.
OBJECTIVES
In this course, you will learn to:
Explain the benefits of MLOps
Compare and contrast DevOps and MLOps
Evaluate the security and governance requirements for an ML use case and describe possible solutions and mitigation strategies
Set up experimentation environments for MLOps with Amazon SageMaker
Explain best practices for versioning and maintaining the integrity of ML model assets (data, model, and code)
Describe three options for creating a full CI/CD pipeline in an ML context
Recall best practices for implementing automated packaging, testing and deployment. (Data/model/code)
Demonstrate how to monitor ML based solutions
Demonstrate how to automate an ML solution that tests, packages, and deploys a model in an automated fashion; detects performance degradation; and re-trains the model on top of newly acquired data
AUDIENCE
This course is intended for:
- MLOps engineers who want to productionize and monitor ML models in the AWS cloud
- DevOps engineers who will be responsible for successfully deploying and maintaining ML models in production
CONTENT
Day 1
Module 1: Introduction to MLOps
Processes
People
Technology
Security and governance
MLOps maturity model
Module 2: Initial MLOps: Experimentation Environments in SageMaker Studio
Bringing MLOps to experimentation
Setting up the ML experimentation environment
Demonstration: Creating and Updating a Lifecycle Configuration for SageMaker Studio
Hands-On Lab: Provisioning a SageMaker Studio Environment with the AWS Service Catalog
Workbook: Initial MLOps
Module 3: Repeatable MLOps: Repositories
Managing data for MLOps
Version control of ML models
Code repositories in ML
Module 4: Repeatable MLOps: Orchestration
ML pipelines
Demonstration: Using SageMaker Pipelines to Orchestrate Model Building Pipelines
Day 2
Module 4: Repeatable MLOps: Orchestration (continued)
End-to-end orchestration with AWS Step Functions
Hands-On Lab: Automating a Workflow with Step Functions
End-to-end orchestration with SageMaker Projects
Demonstration: Standardizing an End-to-End ML Pipeline with SageMaker Projects
Using third-party tools for repeatability
Demonstration: Exploring Human-in-the-Loop During Inference
Governance and security
Demonstration: Exploring Security Best Practices for SageMaker
Workbook: Repeatable MLOps
Module 5: Reliable MLOps: Scaling and Testing
Scaling and multi-account strategies
Testing and traffic-shifting
Demonstration: Using SageMaker Inference Recommender
Hands-On Lab: Testing Model Variants
Day 3
Module 5: Reliable MLOps: Scaling and Testing (continued)
Hands-On Lab: Shifting Traffic
Workbook: Multi-account strategies
Module 6: Reliable MLOps: Monitoring
The importance of monitoring in ML
Hands-On Lab: Monitoring a Model for Data Drift
Operations considerations for model monitoring
Remediating problems identified by monitoring ML solutions
Workbook: Reliable MLOps
Hands-On Lab: Building and Troubleshooting an ML Pipeline
€2.095
Klassikaal
max 16
ITIL® 4 Specialist: Plan, Implement & Control - Inclusief Examen [ITIL4P-PIC]
VIRTUAL TRAINING CENTRE
wo 10 jun. 2026
en 6 andere data
OVERVIEW
This 3-day course compiles for the candidates the understanding of the key concepts, principles, value and challenges of ITIL 4’s five management practices, namely, the ITIL 4 Asset Management Practice, the ITIL 4 Change Enablement Practice, the ITIL 4 Deployment Management Practice, the ITIL 4 Release Management Practice, and the ITIL 4 Service Configuration Management Practice. It is intended to provide candidates with best practice guidance at both strategic and operational levels of maximizing value from the Practices.
The ITIL 4 Plan, Implement, and Control Practices module is structured and aligned around the ITIL framework. The examination is intended to assess whether the candidate can demonstrate sufficient understanding and application of the concepts covered in the ITIL 4 Asset Management Practice, ITIL 4 Change Enablement Practice, ITIL 4 Deployment Management Practice, ITIL 4 Release Management Practice, ITIL 4 Service Configuration Management Practice publications.
ITIL® is a registered trade mark of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved.
OBJECTIVES
Understand the key concepts of the PIC practices.
Understand the processes of the PIC practices.
Understand the roles and competences of the PIC practices.
Understand how information and technology support and enable the PIC practices.
Understand the role of partners and suppliers in the PIC practices.
Understand how the ITIL capability model can be used to develop the PIC practices.
Understand how the ITIL guiding principles support the PIC practices.
AUDIENCE
Candidates taking the ITIL 4 Plan, Implement and Control Practices qualification.
CERTIFICATION
Certification
The ITIL® 4 Practices: Plan, Implement & Control examination will comprise of:
Duration: 90 Minutes
Closed Book: Yes
Format: 60 Questions With 1 Mark Each. No Negative Marking.
Question Type: Standard Classic, Negative, & List
Bloom's Level's: 2 & 3
Pass Mark: 65% Or 39/60
Certification validity : Three (3) years
You will be awarded the ITIL 4 Practice Manager designation once you have successfully achieved the CDS (Create, Deliver and Support) plus the PIC (Plan, Implement & Control) certifications.
CONTENT
Our ITIL® 4 Specialist: Plan, Implement & Control (PIC) training course will cover the following topics:
1. IT Asset Management (ITAM):
The key concepts of the practice
The processes of the practice
The roles and competences of the practice
How information and technology support and enable the practice
The role of partners and suppliers in the practice
How the ITIL® capability model can be used to develop the practice
The recommendations for the practice success
2. Change Enablement (CE):
The key concepts of the practice
The processes of the practice
The roles and competences of the practice
How information and technology support and enable the practice
How the ITIL® capability model can be used to develop the practice
The recommendations for the practice success
3. Deployment Management (DM):
The key concepts of the practice
The processes of the practice
The roles and competences of the practice
How information and technology support and enable the practice
The role of partners and suppliers in the practice
How the ITIL® capability model can be used to develop the practice
The recommendations for the practice success
4. Release Management (RM):
The key concepts of the practice
The processes of the practice
The roles and competences of the practice
The role of partners and suppliers in the practice
How the ITIL® capability model can be used to develop the practice
The recommendations for the practice success
5. Service Configuration Management (SCM):
The key concepts of the practice
The processes of the practice
The roles and competences of the practice
How information and technology support and enable the practice
How the ITIL® capability model can be used to develop the practice
The recommendations for the practice success
6. Plan, Implement & Control (PIC):
Understand the processes and value streams of the Plan, Implement, and control practices
How information and technology support and enable the practices
Recommendations for the Plan, Implement, and Control practices success
€2.195
Klassikaal
max 16
Mastering test automation with Robot Framework ®
3543 KA Utrecht
do 14 jan. 2027
Korte beschrijving
In this training we'll bring you along in test automation using Robot Framework. At the end you'll be capable to setup your own project and maintain it.
Inhoud
Are you a beginner with little or no knowledge of Robot Framework? Do you aspire to set up test automation with Robot Framework independently and swiftly? If so, this training is perfect for you.
This comprehensive training provides both the necessary theory and hands-on experience to effectively use Robot Framework. We will delve into various aspects of Robot Framework through the following modules:
We will apply the knowledge gained in the basic module extensively in practice, and further deepen our understanding of advanced test automation techniques. This ensures that we maximize the potential of our keywords and test cases.
Upon completion of this training, you will be fully capable of independently initiating and maintaining a Robot Framework project.
Robot Framework Basics: This module introduces you to the fundamentals of Robot Framework. Starting from the basics, we will explore its architecture, keyword and test case syntax, usage of test data and variables, execution of test suites or cases, and reports and logs. We will also touch upon advanced automation techniques.
Robot Framework Web Testing: This module equips you with the skills to automate web applications using Robot Framework and the Browser library - a Webtesting library driven by PlayWright.
Doelgroep
This training is designed for IT professionals (to be) who are interested in Robot Framework and have basic knowledge of HTML/CSS.
Having doubts? You can get in touch with the course instructors and ask your questions directly to them. Allowing you to make a well thought through decision. robotframework.training.nl@capgemini.com
Voorvereisten
Please ensure that Robot Framework and all other prerequesites are installed prior to the training (an installation guide is available).
Doelstelling
By the end of the training, you will be able to apply Robot Framework in a structured and efficient manner, with the necessary knowledge to automate the testing of web applications at the very least.
€1.580
Klassikaal
max 8
Data Literacy for managers
Online Virtual
do 19 nov. 2026
Korte beschrijving
Everyone works with data. From senior management to executive staff. Both a data engineer and a call center employee. Everyone works with data. Do you already have sufficient Data Literacy to manage this?
Inhoud
Data Literacy is the ability to create, read, understand and interpret data. Every employee within an organization has to deal with this in one way or another. Being aware of this and having a clear understanding of the impact of the employee within the data-driven organization are therefore crucial. This training provides this foundation. At the end of the training, the participant can answer the following questions:
During the training, the application of what you learn is central and you are challenged to get started with the theory in practical cases.
What is data and what does working data-driven entail?
What is needed to properly understand data?
What plays a role in the creation of data? And how do I ensure that this meets business needs?
How should I interpret data?
What roles and competencies are involved?
Doelgroep
Managers and Executives: Senior-level managers, executives, and decision-makers who need to make informed choices based on data insights.
Department Heads: Leaders responsible for specific functional areas, such as marketing, finance, operations, human resources, etc., who can benefit from data-driven insights relevant to their departments.
Project Managers: Those responsible for overseeing projects and initiatives can use Data Literacy to monitor progress, identify potential issues, and optimize project outcomes.
Entrepreneurs and Business Owners: Small business owners or entrepreneurs who want to utilize data to enhance the performance and competitiveness of their enterprises.
Mid-level Managers: Individuals in middle management positions who play a crucial role in implementing strategies and need to understand data to support their decision-making.
Cross-functional Teams: Teams comprising members from various departments or disciplines who collaborate on projects and can benefit from a shared understanding of data concepts and analysis.
Government Officials: Public sector managers and officials who can use Data Literacy to inform policy decisions, resource allocation, and performance measurement.
Nonprofit Managers: Managers in the nonprofit sector who can use data to measure the impact of their programs, optimize resource allocation, and improve overall effectiveness.
Voorvereisten
There are no specific requirements to participate in this training.
Doelstelling
After this training:
You know what data-driven working means and what it entails.
You know what steps are involved in the creation of data.
You are able to understand and interpret data correctly.
You know who has what role within data-driven organizations and what you can expect from these people.
€900
Klassikaal
max 15
Machine Learning in Python
3543 KA Utrecht
di 18 aug. 2026
en 1 andere data
Korte beschrijving
Large amounts of data can contain many insights. These insights provide added value for business operations. You want to do this via automatic processes, namely with Machine Learning.
Inhoud
Machine Learning in Python is a comprehensive training that introduces you to the process of extracting insights from large amounts of data using Python, the most widely used programming language in Data Science. You will learn about various concepts such as CRISP-DM, Scikit-learn, K-fold Cross-Validation, Random Forest, K-means Clustering, Quantile Regressors, and Convolutional Neural Network. The training will guide you on how to set up a Machine Learning pipeline in Python, improve data quality, and detect and prevent model drift. The training emphasizes the application of learned concepts through practical cases, facilitated by trainers who have real-world experience with Machine Learning systems in Python.
Training in Machine Learning in Python is a valuable investment. Not only will you learn theoretical concepts, but you will also gain practical insights and best practices from our trainers who are experts in the field. Their expertise adds a practical dimension to the theoretical concepts, providing real-world insights and best practices.
Doelgroep
Data Analysts: Enhance your data analysis skills by learning to extract insights from large datasets.
Data Scientists: Learn to build efficient Machine Learning pipelines in Python.
Data Engineers and Software Engineers: Expand your skill set by learning the most widely used programming language in Data Science.
Voorvereisten
Beginning skills and general knowledge of Python, in particular Pandas for data manipulation and Seaborn or Matplotlib for creating visualisations. The 'Introduction Python' training addresses these topics and is ideally suited for pre-training.
During this training you need a laptop on which you can install software: Python.
Doelstelling
At the end of the training, you will be able to:
This training is designed to provide you with the most relevant and up-to-date knowledge in the field of Machine Learning using Python.
Set up a Machine Learning pipeline in Python.
Understand the advantages and disadvantages of different Machine Learning algorithms.
Extract insights from large amounts of data.
€1.800
Klassikaal
max 12
SQL Advanced
Online Virtual
vr 20 nov. 2026
Korte beschrijving
Ready to take your SQL skills to the next level? Join our SQL Advanced training and master advanced database techniques.
Inhoud
Now that you have mastered the basics of SQL and know how to query a database in all kinds of ways, we will look at more advanced concepts in this training. How do you ensure that your database remains fast even when it contains a lot of data? How do you ensure that no small errors creep into your queries because you repeat them more often? Who can do what in a database? All these topics and more will be covered.
Advanced SQL skills are essential for managing large datasets and optimizing database performance. This SQL Advanced training delves into complex queries, performance tuning, and best practices for database management. Our expert trainers bring real-world insights to theoretical concepts, offering practical examples and strategies. This hands-on approach ensures that you can apply advanced SQL techniques effectively in your work, enhancing your ability to manage and analyze large datasets, ensure data integrity, and improve database efficiency.
Doelgroep
The SQL Advanced training is suitable for:
Data Analysts - Need to handle and analyze large datasets efficiently
Software Developers - Optimize database interactions within applications
Database Administrators - Maintain high performance and security in databases
IT Professionals - Support advanced database systems
Business Intelligence Developers - Create complex queries for in-depth analysis
System Architects - Design scalable and efficient database systems
Project Managers - Oversee data-intensive projects
Quality Assurance Engineers - Ensure the accuracy and reliability of complex queries
Voorvereisten
Basic SQL skills and general knowledge of SQL. The 'Introduction to SQL' course addresses these topics and is ideally suited for pre-training. The basic SQL statements should be grounded. Some time hands-on experience with SQL is therefore strongly recommended.
During this training you need a laptop on which you can install software: MySql Community Server or PostgreSql.
Doelstelling
At the end of this training, the participant will be able to use SQL to:
Efficiently query large amounts of data
Compose complex queries that are reusable
Making data available to a limited group of users
€900
Klassikaal
max 15
Sustainability awareness
3543 KA Utrecht
vr 4 sep. 2026
en 3 andere data
Korte beschrijving
Dive into the world of sustainability and become a catalyst for change with our ‘Sustainability Awareness’ training.
Inhoud
Welcome to the ‘Sustainability Awareness’ training, a journey that will deepen your understanding of sustainability and empower you to become a catalyst for change. This course explores theories and frameworks such as the Sustainable Development Goals, Planetary Boundaries, the Doughnut Model, Carbon Emission Scopes, SBTi and Net Zero, legislation, reporting requirements, and market trends like the movement towards circular economies. Join us as we unravel the mysteries and complexities of sustainability, equipping you with the knowledge to make a meaningful impact in a world that urgently requires it.
Sustainability transcends being a mere concept; it’s a lifestyle imperative for our society. Our seasoned trainers bring a wealth of practical experience to the table, transforming theoretical concepts into tangible insights and best practices. This training is designed to arm you with the basic knowledge and strategies you need to evoke sustainable change, using practical examples.
Doelgroep
Sustainability Officers: Learn to develop and implement sustainability strategies in your organization.
Sustainability Consultants: Gain insight into the latest sustainability trends and basic, need-to-know frameworks.
Corporate Social Responsibility Professionals: Understand how sustainability can be integrated into CSR initiatives and how to work with emissions scopes.
Policy Makers: Learn about the current regulatory landscape and reporting trends related to sustainability.
Students: Equip yourself with the knowledge of sustainability for a future-proof career.
Voorvereisten
No prior knowledge of sustainability is required. An interest in environmental issues and a willingness to contribute to a sustainable future will be beneficial.
Doelstelling
At the end of the training, you will be able to:
Understand some of the underlying theories upon which most of our understanding of sustainability in our society is based.
Foster awareness, knowledge, and actionable strategies within your own organization to create a more sustainable future.
€540
Klassikaal
max 12
Introductie Linked Data
3543 KA Utrecht
di 24 nov. 2026
en 1 andere data
Korte beschrijving
Hoe kan Google uit gigantische hoeveelheden data snel een gestructureerde pagina presenteren met filtermogelijkheden? De concepten en technologie achter Linked Data maakt dit mogelijk.
Inhoud
Deze training biedt een uitgebreid inzicht in Linked Data, een technologie die de gestructureerde presentatie van diverse webinhoud mogelijk maakt. Je leert hoe Linked Data de basis vormt van het Semantische Web en hoe het wordt toegepast binnen organisaties. De training behandelt onderwerpen als de oorsprong en toepassingen van Linked Data, RDF en de relatie ervan tot Linked Data, SPARQL en essentiële RDF-vocabulaires. De training is opgedeeld in twee delen: een theoretische discussie gevolgd door een praktische toepassing van de opgedane kennis.
Als fundament van het Semantisch Web is Linked Data geen nieuwigheid meer, toch ontbreekt het veel organisaties aan kennis hierover. Deze training voorziet je niet alleen van een theoretisch en praktisch inzicht in Linked Data, maar bereidt je ook voor op meer geavanceerde onderwerpen zoals Knowledge Graphs en Data Mesh. Onze trainers, experts in het veld, voegen een praktische dimensie toe aan de theoretische concepten en bieden praktijkgerichte inzichten en best practices.
Doelgroep
Data Professionals: Verbeter je vaardigheden op het gebied van datamanipulatie met Linked Data.
Web Developers: leer hoe je webinhoud effectief kunt structureren.
SEO-specialisten: begrijp hoe Linked Data de zichtbaarheid op internet kan verbeteren.
IT-managers: krijg inzicht in hoe Linked Data je organisatie ten goede kan komen.
Databasebeheerders: leer nieuwe manieren om gegevens te structureren en op te vragen.
Voorvereisten
Er zijn geen specifieke vereisten om aan deze training te kunnen deelnemen. Wel dient een laptop te worden meegenomen waarop Java 11 draait of geïnstalleerd kan worden.
Doelstelling
Aan het einde van de training ben je in staat om:
Het concept van Linked Data en de toepassingen ervan te begrijpen.
Te weten hoe RDF Linked Data standaardiseert.
SPARQL als Linked Data-querytaal te gebruiken.
Essentiële RDF-vocabulaires toe te passen voor specifieke toepassingen.
Te werken met eenvoudige SPARQL-query's op een lokale, open-source triple store (Apache Jena Fuseki) en op internet.
€900
Klassikaal
max 15
VMware Aria Operations for Logs: Install Configure Manage [VMAOLICM]
VIRTUAL TRAINING CENTER
wo 29 jul. 2026
en 2 andere data
OVERVIEW
This three-day course features hands-on training that focuses on deploying, configuring, and managing VMware Aria Operations™ for Logs 8.12. You will learn the UI enhancements, features, architecture, use cases, and benefits of VMware Aria Operations for Logs. This course provides you with the knowledge and skills to use VMware Aria Operations for Logs 8.12 to monitor your environment.
OBJECTIVES
By the end of the course, you should be able to meet the following objectives:
Identify the features and benefits of VMware Aria Operations for Logs
Determine which VMware Aria Operations for Logs cluster meets your monitoring requirements
Describe the VMware Aria Operations for Logs architecture and use cases
Deploy and configure a VMware Aria Operations for Logs cluster
Use the Explore Logs page to get a deep understanding of log data
Create and manage queries
Manage VMware Aria Operations for Logs agents and agent Groups
Create custom dashboards
Explain how to use the VMware Aria Operations for Logs widgets
Extend the capabilities of VMware Aria Operations for Logs by adding content packs and configuring solutions
Discuss VMware Aria Operations for Logs (SaaS)
AUDIENCE
- System administrators
- System engineers
- Consultants
CONTENT
1 Course Introduction
Introductions and course logistics
Course objectives
2 Introduction to VMware Aria Operations for Logs
Describe the VMware Aria cloud management platform
Describe the VMware Aria™ use cases
Describe the key capabilities of VMware Aria Operations for Logs
Describe the requirements for a log analytics solution
Explain the importance of efficient log management
Navigate the VMware Aria Operations for Logs UI
Describe the various stages of log processing
3 VMware Aria Operations for Logs Architecture and Deployment
Identify the minimum requirements for deploying VMware Aria Operations for Logs
Explain how to use the VMware Aria Operations for Logs sizing calculator
Describe VMware Aria Operations for Logs compatibility with other VMware products
Describe the VMware Aria Operations for Logs architecture
Explain how to install the VMware Aria Operations for Logs virtual appliance
4 Analyzing Logs
Describe the primary functions of the VMware Aria Operations for Logs UI
Describe log events
Use Explore Logs for understanding and analyzing the log data
5 VMware Using Dashboards Alerts and Reports
Create VMware Aria Operations for Logs custom dashboards
Describe how to use the VMware Aria Operations for Logs widgets
Configure alerts
Explain how to view and manage reports
6 Administering VMware Aria Operations for Logs
Describe user access control in VMware Aria Operations for Logs
Describe user management
Configure VMware Aria Operations for Logssettings
7 Managing Data Sources and Content packs
Describe how to integrate VMware Operations for Logs with VMware Aria Operations for Logs
Install and manage content packs
Manage certificates
Install and manage agents for VMware Aria Operations for Logs
Describe the VMware Aria Operations for Logs Importer
8 VMware Aria Operations for Logs Integrations
Describe how to integrate VMware Operations for Logs with VMware Aria Operations for Logs
Discuss the advantages of integrating VMware Operations for Logs with VMware Aria Operations for Logs
Discuss the advantages of using the vSAN content pack
Explain how to configure the NSX content pack
9 VMware Aria Operations for Logs (SaaS)
Explain the VMware Aria Operations for Logs(SaaS) architecture
Describe the ingestion options for Aria Operations for Logs (SaaS)
Discuss integration with on-premises Aria Operations for Logs
€2.070
Klassikaal
max 16