MongoDB dla analityków - Plan Szkolenia

FARM (FastAPI, React, and MongoDB) is similar to MERN, but performs faster with Python and FastAPI replacing Node.js and Express as the backend. FastAPI is a high-performance Python web framework used by top companies, such as Microsoft, Uber, and Netflix. React is an open source front-end JavaScript library, while MongoDB is a fully scalable NoSQL database.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange

The MERN Stack is a collection of web development software, namely MongoDB, Express, React, and Node.js. The MERN Stack provides an end-to-end framework for developers to build and deploy fullstack web applications.

This instructor-led, live training (online or onsite) is aimed at web developers who wish to use the MERN Stack for fullstack development.

By the end of this training, participants will be able to:

• Integrate React with MongoDB, Express, and Node.js.
• Build a fullstack web application from scratch.
• Implement application security through authorization and authentication.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This course covers everything a database administrator needs to know to successfully deploy and maintain MongoDB databases.

Diagnosing performance issues, importing and exporting data, and establishing the proper backup and restore routines, overview of the MongoDB CRUD API, the command shell, and the drivers are also covered.

The audience of this course include people who want to:

• Understand MongoDB from a developer's perspective, including its command shell, query API, and driver tools.
• Deploy MongoDB in all its configurations - as a single server, with master/slave replication, as a replica set, and as a sharded cluster.
• Evaluate applications and choose hardware appropriately.
• Monitor MongoDB instances and integrate with standard monitoring software (Munin, Nagios, etc.)
• Plan for backups and manage large data imports and exports.
• Troubleshoot the most common developer issues and failure scenarios.

Each delegate will need to perform a series of practical exercises.

This instructor-led, live training (online or onsite) is aimed at administrators wishing to solve complex deployment and management problems using MongoDB Ops Manager.

By the end of this training, participants will be able to:

• Install and configure MongoDB Ops Manager
• Set up and manage different types of environments
• Understand and implement MongoDB Enterprise Server specific solutions to solve complex enterprise challenges

Format of the Course

• Interactive lecture and discussion
• Lots of exercises and practice
• Hands-on implementation in a live-lab environment

Course Customization Options

• This training is based on MongoDB Enterprise Server, which includes Ops Manager. Please consult with us to arrange license requirements.
• To request a customized training for this course, please contact us to arrange.

The MongoDB Aggregation Framework is a simplified and sequential approach to querying, transforming, and processing data in MongoDB.

This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines.

By the end of this training, participants will be able to:

• Install and configure MongoDB for data analysis.
• Understand the concepts and stages of the MongoDB Aggregation Framework.
• Learn about the basic structure, syntax, and operations for aggregation.
• Learn how to handle advanced operations in aggregation.
• Apply some optimization tools and techniques to improve aggregation performance.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This course covers the advanced areas in the use of programming languages related to MongoDB, the goal is for the participant to have the ability to completely master the tool.

Kurs "MongoDB zaawansowana administracja" obejmuje zaawansowane aspekty korzystania z języków programowania związanych z MongoDB, skupiając się na pełnym opanowaniu narzędzia. Struktura kursu obejmuje wprowadzenie do MongoDB, podstawowe i zaawansowane zapytania, silniki przechowywania, walidację dokumentów, modelowanie danych, MapReduce, Aggregation Framework, GridFS, indeksy, Full Text Search, Change streams, replikację, sharding oraz narzędzia administracyjne i diagnostyczne. Kurs zawiera również opcjonalny moduł poświęcony bibliotekom klienckim, takim jak JavaDriver i CSharpDriver.

Node.js is an open source Javascript runtime environment. Express is a backend web application framework. MongoDB is a scalable document database. Combining Node.js, Express, and MongoDB provides a powerful set of features for building web applications or REST APIs.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use and integrate Node.js, Express, and MongoDB to build fast and scalable REST APIs.

By the end of this training, participants will be able to:

• Set up and integrate Node.js and Express with MongoDB.
• Understand the features and architecture of Node.js, Express, and MongoDB.
• Learn how to build RESTful APIs using the Node.js, Express, and MongoDB backend stack.
• Implement routes, filtering, sorting, and pagination to Node.js REST APIs.
• Design data models and perform CRUD operations with MongoDB and Mongoose.
• Test and debug APIs with Postman.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Percona Server for MongoDB is a free, enhanced, fully compatible, open source, drop-in replacement for MongoDB 3.2 Community Edition with enterprise-grade features. It requires no changes to MongoDB applications or code.

Audience

This course is suitable for sysadmins and engineers seeking to switch to Percona Server from preexisting MongoDB instances, or deploy and administrate new Percona Server for MongoDB instances.

After completing this course, delegates will:

• understand Percona Server’s structure and deployment mechanisms
• be able to carry out installation / production environment / architecture tasks and configuration
• be able to assess code quality, perform debugging, monitoring
• be able to implement advanced production like replication, performance tuning and logging

Audience

• Programmers
• Beginner IT professionals

Format of the course

•     Part lecture, part discussion, heavy hands-on practice

Pivotal Greenplum is a Massively Parallel Processing (MPP) Data Warehouse platform based on PostgreSQL.

This instructor-led, live training (online or onsite) is aimed at developers who wish to set up a multi-node Greenplum database.

By the end of this training, participants will be able to:

• Install and configure Pivotal Greenplum.
• Model data in accordance to current needs and future expansion plans.
• Carry out different techniques for distributing data across multiple nodes.
• Improve database performance through tuning.
• Monitor and troubleshoot a Greenplum database.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

MarkLogic Server is a multi-model database solution that enables organizations to store, manage, secure, and analyze enterprise data. MarkLogic Server focuses on advanced search capabilities and quick data access.

This instructor-led, live training (online or onsite) is aimed at system administrators, database administrators, data architects, and developers who wish to install, configure, and manage MarkLogic Server to optimize their database systems.

By the end of this training, participants will be able to implement, develop, manage, and secure their enterprise data and database systems using MarkLogic Server.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Reporting Services (lub SQL Server Reporting Services - SSRS) to usługa dostępna w ramach pakietu Microsoft SQL Server, która umożliwia tworzenie, zarządzanie i dostarczanie różnego rodzaju raportów. Oto główne cechy i funkcje Reporting Services: - Pozwala tworzyć różnorodne raporty, takie jak raporty tabelaryczne, wykresy, diagramy, raporty map, a także raporty subskrypcji i interaktywne raporty. - Możliwość łączenia się z różnymi źródłami danych, takimi jak bazy danych, pliki Excel, pliki tekstowe czy zewnętrzne źródła danych. - Posiada środowisko graficzne (Report Builder i SQL Server Data Tools), które ułatwia projektowanie i tworzenie raportów bez konieczności programowania. - Umożliwia zarządzanie raportami, katalogowaniem, udostępnianiem, planowaniem i przeglądaniem raportów. - Zapewnia różne metody dostarczania raportów, w tym e-mail, udostępnianie na serwerze, publikowanie w formie interaktywnych stron internetowych, drukowanie itp. - Posiada mechanizmy zarządzania uprawnieniami, które umożliwiają kontrolę dostępu do raportów. - Umożliwia tworzenie raportów, które pozwalają użytkownikom na interaktywne filtrowanie, sortowanie i nawigację w danych. SQL Server Reporting Services to narzędzie wykorzystywane przez organizacje do generowania, zarządzania i dostarczania różnego rodzaju raportów biznesowych. Dzięki temu narzędziu użytkownicy są w stanie efektywnie wykorzystać dane, wizualizować informacje i wspierać podejmowanie decyzji na podstawie analizy danych.

O szkoleniu

Szkolenie z zakresu pracy z językiem SQL dla wybranego serwera bazy danych SQL z uwzględnieniem DML i DDL – aktualizacja danych i tworzenie obiektów bazy danych. Szkolenie o profilu ogólnym, którego adresatami są osoby zajmujące się aktywnym przetwarzaniem danych.

Cel szkolenia

Zapoznanie z terminologią i narzędziami niezbędnymi w pracy z bazą danych. Poznanie rozszerzenie znajomości języka SQL oraz wykorzystanie go w codziennej pracy z bazą danych.

Co w Twojej pracy usprawni język SQL?

Nauczysz się efektywnie pobierać dane. Skrócisz ścieżki przepływu danych poprzez pominięcie plików CSV, Excel itp. Zdobędziesz umiejętność korzystania z najnowszego narzędzia analitycznego. Zwiększysz swoją pewność w pracy, dzięki nabyciu nowych umiejętności. Zdecydowanie podniesiesz swoje szanse na awans. Radykalnie podniesiesz poziom swoich kompetencji zawodowych.

Gdzie użyjesz nabytej wiedzy?

Podniesiesz efektywność pracy związanej z tworzeniem raportów i zestawień w arkuszach kalkulacyjnych i narzędziach BI. Zauważysz też wzrost komfortu w dostępie do danych.

Czego się nauczysz?

Usprawnisz wymianę informacji z współpracownikami. Będziesz w stanie utworzyć ujednolicony system raportujący. Standaryzacja metod generowania raportów i tworzenia zestawień dla analiz przestanie być dla Ciebie problemem. Równocześnie przeniesiesz bezpieczeństwo tworzonych analiz na nowy wyższy poziom.