Cursuri Database

Cursuri Database

Cursurile de formare locale (DB) sau baze de date bazate pe instrumentele de bază (DBMS) sunt direcționate atât către administratori de sistem, cât și ca dezvoltatori și demonstrează prin practica manuală cum să administreze sistemele de baze de date, precum și modul de integrare a unei baze de date cu aplicațiile software Instruirea bazei de date este disponibilă ca "formare live la fața locului" sau "formare live la distanță" Training-ul live la fața locului poate fi efectuat la fața locului la sediul clientului Moldova sau în centrele de formare corporativa NobleProg din Moldova Instruirea live la distanță este realizată printr-un desktop interactiv, la distanță NobleProg Furnizorul dvs de formare locală.

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Database Course Outlines

Numele cursului
Durata
Sinoptic
Numele cursului
Durata
Sinoptic
7 hours
Sinoptic
This live instructor-led training (onsite or remote) will guide you through the most important elements of the SQL language. A combination of comprehensively prepared training materials and the expertise of the instructor will serve as an introduction to the world of databases.
35 hours
Sinoptic
Audience

- Programmers
- Beginner IT professionals

Format of the course

-

Part lecture, part discussion, heavy hands-on practice
28 hours
Sinoptic
In this instructor-led, live training in Moldova, participants will learn the fundamentals of SAP ASE (SAP Adaptive Server Enterprise) Database Administration as they step through the creation and deployment of a sample SAP ASE Database System.

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

- Install and configure SAP ASE for data storage as well as transactional operations.
- Understand and use SAP ASE components, tools, and utilities.
- Integrate SAP ASE with non-SAP ASE applications.
21 hours
Sinoptic
This instructor-led, live training in Moldova (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 distribute data across multiple nodes.
- Improve database performance through tuning.
- Monitor and troubleshoot a Greenplum database.
14 hours
Sinoptic
This instructor-led, live training in Moldova (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.
14 hours
Sinoptic
This SQL training course is for people who want to gain the necessary skills to extract and analyse data using Microsoft Access. Course members will learn:

- how to write SQL queries
- what relational databases are and how we can use them
- what are relations and how to create them
- the structure of data
- differences between SQL dialects (Oracle, T-SQL, ANSI)
- practical skills for writing queries

This SQL course deals with Microsoft Access dialect of SQL.
21 hours
Sinoptic
The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.
14 hours
Sinoptic
Microsoft Access is a pseudo-relational database engine from Microsoft.
14 hours
Sinoptic
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.
14 hours
Sinoptic
This course covers everything a database developer needs to know to successfully develop applications using MongoDB.
14 hours
Sinoptic
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.
7 hours
Sinoptic
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
14 hours
Sinoptic
After the training, you will be able to write extract and modify the data in MongoDB database. You will also learn about powerful Aggregation Pipeline that is a flexible and fast tool for data analytics, and if it's not enough for you, how to connect your current BI tools like Tableau or Excel to data stored in Mongo.
14 hours
Sinoptic
This instructor-led, live training (online or onsite) is aimed at developers wishing to learn how to use MongoDB as the database for Python their applications.

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

- Install and configure MongoDB
- Understand the difference between accessing a NoSQL document database and a traditional relational databases' (e.g., MySQL)
- Query a MongoDB database from within Python
- Create and write data to a MongoDB databasse
- Understand MongoDB's "data processing pipeline"
- Perform real-time analytics and statistical analysis
- Generate reports for dashboarding
- Implement exception handling in Python application

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.
14 hours
Sinoptic
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.
14 hours
Sinoptic
This instructor-led, live training in Moldova (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.
14 hours
Sinoptic
The aim of this course is to provide a clear understanding of the advanced use of (SQL) for Microsoft SQL Server and the advanced use of Transact-SQL. For more in depth coverage of the topics this course can be run as a three day course.
14 hours
Sinoptic
This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:

- how to write SQL queries
- what relational databases are and how we can use them
- what are relations and how to create them
- the structure of data
- differences between T-SQL and other dialects
- practical skills for writing queries

This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course.
7 hours
Sinoptic
Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following:

- Use queries to return complex result sets
- Manage database objects to aid query performance
- Tune queries to perform more efficiently

This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed.
14 hours
Sinoptic
This SQL training course is for people who want to acquire basic skills to deal with SQL Server Databases. Course will help the members to learn:

- How to work with SQL Server and SQL Server Management Studio.
- Meaning of Databases, SQL and RDBMS etc.
- How to create tables, use DDL, DML and DAL.
- Which are the various RDBMS Packages in the market and how they compare with each other.
- An Introduction to NoSQL and how they are organizations are changing into hybrid databases.
14 hours
Sinoptic
As a core of the Microsoft data platform, SQL Server is a leading operational database management system.
21 hours
Sinoptic
Microsoft SQL Server is a relational database management system (RDBMS) for storing and retrieving data.

In this instructor-led, live training (onsite or remote), participants will learn the essentials of the SQL language needed to query a Microsoft SQL Server database.

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

- Install and configure Microsoft SQL Server
- Query a Microsoft SQL Server database using Microsoft's Transact-SQL (T-SQL) language
- Understand the essentials of database design
- Optimize a database through normalization
- Use aggregate functions to generate results similar to those of "pivot-tables"
- Access Microsoft SQL Server through Excel

Audience

- Data analysts
- Business Intelligence professionals
- Business managers
- Excel experts who wish to expand their analysis skill set

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 the latest version of Microsoft SQL Server
- To request a customized training for this course, please contact us to arrange.
35 hours
Sinoptic
Audience

- Database Administrator
- Developers
21 hours
Sinoptic
About This Course

This three-day instructor-led course is aimed at people looking to move into a database professional role or whose job role is expanding to encompass database elements. The course describes fundamental database concepts including database types, database languages, and database designs.

Audience Profile

The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies.

At Course Completion

After completing this course, students will be able to:
• Describe key database concepts in the context of SQL Server 2016
• Describe database languages used in SQL Server 2016
• Describe data modelling techniques
• Describe normalization and denormalization techniques
• Describe relationship types and effects in database design
• Describe the effects of database design on performance
• Describe commonly used database objects
35 hours
Sinoptic
This intensive training provides the fundamental knowledge and skills to use Windows PowerShell for automating administration of Windows based computers. The skills taught in this course are applicable to all Microsoft products that use Windows PowerShell for daily administration.

Training focuses mainly on using Windows PowerShell as an interactive command line interface however it also includes some coverage of scripting and programming topics.
35 hours
Sinoptic
Developers, analysts and business users need to quickly analyse large amounts of data, get insight into that data, retrieve hidden knowledge inside it, and report against various data sources professionally and effectively. This course will enable them to do this with SQL Server Business Intelligence. The 5 day course will cover the SQL Server components and tools used for B.I. projects.

The course will also include the new features in SQL Server B.I. 2016. Reporting Services, Analysis Services and Integration Services will be explored and worked with. Components of Business Intelligence in SQL Server are completely independent from the SQL Server databases, so they can be used over any data sources. Therefore, it is not necessary to know the SQL Server itself.

4 Top Takeaways from the Course

- Make your existing data work harder for you
- Integrate diverse data stores to a single repository
- Transform raw data to business intelligence
- Create eloquent reports from raw data
14 hours
Sinoptic
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.

In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.

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

- Install and configure SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS

Audience

- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals

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 the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
14 hours
Sinoptic
MySQL Administration training course is for anyone who wants to administrate the MySQL database server. It is a comprehensive course covering all administrator duties.

The course explains how MySQL Database works, what tools are available, how we can use them, how we can secure the MySQL Database Server and configure it. During the training course you will learn how to manage user accounts and how the MySQL Access Privilege System works. You also will learn how to maintain your database, backup and recover your databases and perform crash recovery.
14 hours
Sinoptic
This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:

- how to write SQL queries
- what relational databases are and how we can use them
- what are relations and how to create them
- the structure of data
- differences between SQL dialects (Oracle, T-SQL, ANSI)
- practical skills for writing queries

This SQL course deals with generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL any other relational databases.

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