• Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
• Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
• ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
• Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
• Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
• Pushgateway, Service Discovery, Recording Rules, Routing Trees, Create Custom Exporter, HTTP API, and many more...
• Monitor the Amazon Cloud (AWS) with Prometheus.
• Integration with many Alert Notifiers - Gmail, PagerDuty, Slack.
• Build value added dashboards with GRAFANA
• Codes and Resources are available in resources tab. This will save your typing efforts.

Data scientists create data models that need to run in production environments. Many DevOps practices are relevant to production-oriented data science applications, but these practices are often overlooked in data science training. In addition, data science and machine learning have distinct requirements, such as the need to revise models while in use. This course was designed for data scientists who need to support their models in production, as well as for DevOps professionals who are tasked with supporting data science and machine learning applications. Learn about key data science development practices, including the testing and validation of data science models. This course also covers how to use the Predictive Model Markup Language (PMML), monitor models in production, work with Docker containers, and more.

Topics include:

• Using Git for version control
• Incorporating model testing into the deployment process
• Working with the Predictive Model Markup Language
• Securing the data science models in production
• Monitoring models in production
• Creating a Dockerfile for data science models

Ce cours n´est disponible qu´en anglais. Si ce n´est pas un problème pour vous, soumettez votre demande.

This course is in French only. If this is not a problem for you, by all means go ahead and apply.

Demande de formation

Get up and running with Oracle Database 19c, the latest version of the popular relational database management system (RDBMS), and learn how it can help enhance your database design and deployment process. Throughout this course, instructor Bob Bryla covers the fundamentals of administering Oracle Database 19c. Discover how to install the RDBMS on Linux, manage the database and query tables using the SQLcl command-line tool, and efficiently move data in and out of your database tables using SELECT and DML statements, respectively. Plus, learn how to create, assign, and drop tablespaces, as well as how to create and drop user accounts.

Topics include:

• Oracle database architecture
• Setting up the database
• Navigating the database with SQLcl and SQL Developer
• The Oracle SQL language
• Using SELECT statements
• Adding, deleting, and updating rows in a table
• Creating or dropping a table

Ce cours n´est disponible qu´en anglais. Si ce n´est pas un problème pour vous, soumettez votre demande.

This course is in French only. If this is not a problem for you, by all means go ahead and apply.

Demande de formation

MySQL is one of the most widely used database systems for dynamic websites and content management systems. And phpMyAdmin is the most common method of administering a MySQL database, included in many CMSs as well as the XAMPP and MAMP testing environments. Updated for phpMyAdmin 4.5, this introductory course shows designers and developers how to set up local user accounts, create a database, and design tables. Author David Powers also explains how to import data from CSV files, spreadsheets, and SQL dump files, and how to export data for backup or to transfer to another database. You'll also learn how to run database queries within its intuitive form-based interface, and monitor server performance.

Topics include:

• Why use phpMyAdmin?
• Setting up a user account
• Creating a database
• Choosing the right column types for tables
• Inserting data manually
• Importing and exporting data
• Dealing with foreign keys
• Building and running queries
• Creating views
• Creating stored procedures and functions
• Checking performance

Ce cours n´est disponible qu´en anglais. Si ce n´est pas un problème pour vous, soumettez votre demande.

This course is in French only. If this is not a problem for you, by all means go ahead and apply.

Demande de formation

Do you rely on IT to get the data you need? Are you often stuck waiting in line for data, and wish you could just retrieve it yourself? In this course, learn how to get the data you want by writing a bit of SQL code. You won't just be able to pull data out of the database; you'll be able to manipulate it: merging it, grouping it, and relabeling it to get just the report you want. Join Emma Saunders as she shows how to write simple SQL queries for data reporting and analysis using a publicly accessible online database. Learn how to filter, group, and sort data, using built-in SQL functions to format or calculate results. Discover how to perform more complex queries, such as joining data together from different database tables. Last but not least, she introduces views, procedures, functions, and variables.

Topics include:

• Retrieving data with SELECT statements
• Filtering and sorting your results
• Transforming results with built-in SQL functions
• Grouping SQL results
• Merging data from multiple tables
• Using variables, functions, and procedures

Ce cours n´est disponible qu´en anglais. Si ce n´est pas un problème pour vous, soumettez votre demande.

This course is in French only. If this is not a problem for you, by all means go ahead and apply.

Demande de formation