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Data and Databases trainings

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Data and Database Training

  • Training type: E-learning (online)
  • Language: English
  • Online access: 24/7, 365 days after activation
  • Interactive multimedia lessons with video, audio and subtitles
  • Videos of up to 3-10 minutes, watchable at your own pace
  • Practical exercises with real-time analysis of actions and results
  • Flexible management with progress reporting
  • View lessons by specific topic
  • Your answers are immediately evaluated
  • The software tells you exactly where your possible mistakes lie
  • Possibility to repeat an assignment (unlimited)
  • View solution videos
  • IT Certifications
  • Tips & Tricks
  • Exam Quiz
  • MeasureUp Exam Simulation (150+ questions)
  • LiveLabs (if available)
  • Award Winning E-learning
  • Full training for the official Exam
  • User-friendly environment
  • Includes Online Tutor (via email and chat)
  • Certificate of Participation included

What is Data?

Data (Data) is information or facts used to support decision-making, analysis or knowledge representation. They can take different forms, such as numbers, text, images or sound, and are stored in a structured manner so that they can be easily processed, retrieved and analyzed. Data is the raw material used to gain insights and drive informed decision-making in various fields, including business, science and technology.

Data is used for a variety of purposes, including:

  • Decision-making - Data is analyzed to support informed decision-making in organizations, businesses and government agencies.
  • Trends and insights - Data can be analyzed to identify trends, patterns and insights that can inform strategy, product development and operations.
  • Customer and market analysis - Data is used to analyze customer behavior, preferences and market trends.
  • Measurement and evaluation of performance - Data is used to measure and evaluate the performance of organizations, processes and products.
  • Predictive modeling and forecasting - Data is used to create predictive models and forecasts that can inform planning and resource allocation.
  • Research and development - Data is used in scientific and technical research to test hypotheses, validate theories and inform product design.
  • Compliance and regulation - Data is used to meet legal and regulatory requirements, such as financial reporting, data privacy and security.
  • Personalization and customization - Data is used to personalize products, services and experiences for individual customers.

These are just a few examples of how data (data) is used. The importance of data has increased in recent years as organizations strive for more data-driven decision-making and operations.

What are Databases?

A database is a collection of data organized and stored in a specific way in a computer system so that it can be easily retrieved, managed and updated. Databases are used to store and manage large amounts of structured and semi-structured information, such as financial transactions, customer data and product inventories.

Databases are essential components of many software applications and business systems because they enable organizations to store and retrieve information efficiently, support decision-making and automate many routine tasks. 

Why Data and Databases?

Data and Databases (Data and Databases) are used to store, organize and manage large amounts of information. They provide a systematic way to store, retrieve and manipulate information so that it can be used effectively and efficiently for various purposes such as decision-making, problem solving, analysis and reporting. Databases are essential to many organizations because they allow them to store and process data in a secure and scalable manner, allowing them to effectively manage their operations, meet their obligations and comply with regulations.

The use of data and databases can improve an organization's ability to make informed decisions, better respond to changes in their environment and improve their overall performance and competitiveness.

How do Data and Databases work?

Databases (databases) are collections of related information organized so that data can be stored, retrieved and used efficiently. Data can be stored in databases in various ways, including as tables, rows and columns. The database management system (DBMS - Database Management System) is responsible for organizing and managing the data in the database.

A DBMS includes software that allows users to work with the database, such as enter new data, query existing data and update existing data. This software uses a query language, such as SQL, to access the data stored in the database.

When a user requests information from the database, the DBMS searches for the requested data and returns the results to the user. The DBMS can also be used to enforce rules and restrictions on the data, such as ensuring that all data entered is valid and that data is not duplicated.

Databases can be used for a variety of purposes, including business applications, scientific research and government record keeping. They can be designed to support a specific type of data, such as financial data, or they can be designed to support a range of data types.

In general, data and databases are used to store and manage information in a way that facilitates access, analysis and use of the information. By using databases, organizations can make better use of their data and gain insight into their operations and customers.

10 Benefits of Data and Databases

  1. Enhanced data structure: Databases help store data in a structured, organized and easily accessible format.
  2. Enhanced data security: Databases provide a secure platform for storing sensitive data and can implement access control mechanisms to ensure data security.
  3. Scalability: Databases can handle large amounts of data, and can easily scale to accommodate growth and changing business needs.
  4. Reliability: Databases provide a centralized system for storing data, reducing the risk of data loss and increasing data availability.
  5. Improved data analysis: Databases provide advanced data analysis capabilities, allowing organizations to make informed decisions based on data insights.
  6. Better data sharing: Databases enable multiple users to access, modify and update data in real-time, making it easier to collaborate and share data.
  7. Efficient data retrieval: Databases provide fast and efficient methods for searching and retrieving data, saving time and improving productivity.
  8. Data integration: Databases can be integrated with other applications, making it easier to exchange data between systems and streamline processes.
  9. Data backup and recovery: Databases provide backup and recovery mechanisms to ensure that data is protected and easily restored in the event of a failure.
  10. Cost savings: By improving data management and reducing data duplication, databases can help organizations save time and money by reducing manual data entry, reducing the risk of errors and improving data quality.

Here's how Data and Databases can help your business

Data and databases can help organizations by providing a central repository for storing and managing information. This information can be used to support decision-making, inform business strategies and improve operational efficiency. By organizing and structuring data in a database, organizations can ensure that their information is accurate, consistent and easily accessible.

In addition, databases can be accessed and analyzed to uncover trends, patterns and insights that are not immediately apparent from raw data. This ability to extract meaningful insights from data can drive innovation and help organizations stay ahead of the competition. In addition, databases can be integrated with other software systems and tools, such as business intelligence and data visualization platforms, to enhance data analysis and sharing capabilities.

Data and databases can help organizations in many ways, including:

  • Better decision-making: By storing and analyzing data, organizations can make more informed decisions based on facts and data trends rather than intuition or gut feeling.
  • Increased efficiency: By storing data in a centralized database, organizations can streamline processes, eliminate duplicates and manual data entry, and automate tasks.
  • Improved customer relationships: By tracking and analyzing customer data, organizations can better understand their customers and improve customer relationships by providing personalized experiences.
  • Improved resource management: Organizations can use data to optimize resource allocation, improve supply chain management and minimize waste.
  • Improved operational performance: By monitoring key performance indicators and other data, organizations can identify areas for improvement and optimize operations.
  • Improved compliance: By collecting and storing data in a structured manner, organizations can ensure they comply with regulatory requirements and maintain high levels of data privacy and security.
  • Better risk management: By tracking and analyzing data on risk factors, organizations can proactively manage risk and minimize potential losses.
  • Better collaboration: By storing data in a central location, organizations can enable employees to access the information they need from anywhere, when they need it.
  • Better market insight: By collecting and analyzing data on market trends and customer behavior, organizations can gain valuable insights into their market and make better business decisions.
  • Better business intelligence: By collecting and analyzing data from various sources, organizations can gain a better understanding of their business and make data-driven decisions that improve their bottom line.

Data and Databases training

Data and database training teaches the concepts and techniques used to manage and store large amounts of data. This type of training can cover a variety of topics, including data modeling, database management systems, SQL, data warehousing and data mining. Participants learn the skills and knowledge needed to design, build and manage databases, and to extract insights from the data stored in them.

This type of training is important for people working in fields such as information technology, business and data analytics. It can also be useful for individuals who want to pursue careers in data management, data storage, business intelligence or data science.

A good understanding of data and databases can help people make informed decisions, provide valuable insights and drive business success.

Data and Databases certifications

An ICT certificate in data and databases can show that someone is knowledgeable, familiar and skilled in these areas. It can also enhance their professional credibility and help them stand out from other job candidates. It can also increase the chances of promotion and salary increases. It also shows that the person is up to date with the latest trends, techniques and technologies in data and databases. In addition, certifications are often required by employers for certain positions, so obtaining them can improve a person's job prospects.

There are a multiple IT certifications available that focus on data and databases. Determining the most interesting data and database certifications is subjective, as it largely depends on one's background, goals and interests. However, some of the widely recognized and in demand certifications for data and databases are:

  • Oracle Certified Professional, MySQL 5.7 Database Administrator
    This IT certification is aimed at database administrators responsible for maintaining and optimizing the performance of a MySQL 5.7 database. It covers topics such as backup and recovery, performance tuning, security and more.
  • Microsoft Certified: Azure Database Administrator Associate
    This certification demonstrates expertise in managing, deploying and monitoring Azure databases. It covers topics such as data storage options, disaster recovery, high availability and more.
  • MongoDB Certified DBA Associate
    This ICT certification is for database administrators responsible for managing MongoDB databases. It covers topics such as data modeling, data management, performance tuning and more.
  • Amazon Web Services (AWS) Certified Database - Specialty
    This AWS certification validates one's expertise in implementing, operating and optimizing databases in the AWS Cloud. It covers topics such as database migration, backup and recovery, performance optimization and more.
  • Cloudera Certified Associate (CCA) Data Analyst
    This Cloudera certification is for data analysts using Cloudera's data management, processing and analysis technologies. It covers topics such as data ingestion, processing and analysis, as well as using SQL and Hive to query data.
  • IBM Certified Database Administrator - DB2
    This certification is designed for database administrators who manage IBM DB2 databases. It covers topics such as database design, data management, performance tuning and more.
  • Oracle Database 12c Administrator Certified Associate (OCA)
    This certification is for database administrators who manage Oracle databases. It covers topics such as database architecture, security, backup and recovery, and performance tuning.
  • Microsoft Certified: Azure Data Engineer Associate
    This certification demonstrates expertise in designing, building and maintaining data engineering solutions using Azure data services. It covers topics such as data storage, data processing and data management.
  • IBM Certified Advanced Database Administrator - DB2
    This IBM certification is for experienced database administrators who manage IBM DB2 databases. It covers advanced topics such as security, performance tuning, disaster recovery and more.
  • Oracle Certified Professional, MySQL 8.0 Database Administrator
    This Oracle certification is aimed at database administrators responsible for maintaining and optimizing the performance of a MySQL 8.0 database. It covers topics such as backup and recovery, performance tuning, security and more.
  • Microsoft Certified: SQL Server 2016 Database Administrator
    This Microsoft certification validates one's knowledge and skills in managing, configuring and maintaining Microsoft SQL Server 2016 databases. This includes monitoring and troubleshooting performance issues, managing security, and creating and restoring database backups.
  • Microsoft Certified: SQL Server 2012/2014 - Database Development
    This certification focuses on one's ability to develop, design and implement solutions using Microsoft SQL Server 2012 or 2014 databases. Topics covered include data modeling, data access and data storage solutions.
  • Oracle Database 12c R2 Administration Exam 1Z0-072
    This Oracle certification validates an individual's knowledge and skills in managing and administering Oracle Database 12c Release 2 (12.2) environments. This includes configuring, installing and managing an Oracle database, as well as backup and recovery, security and performance management.
  • MongoDB Certified Developer Associate
    This certification validates knowledge of MongoDB and the ability to develop applications using MongoDB. Topics covered include data modeling, indexing and CRUD operations, as well as performance optimization and data management.
  • Microsoft Certified: Azure Data Scientist Associate
    This Microsoft certification focuses on one's ability to design, build and deploy machine learning models using Microsoft Azure. Topics covered include data preparation, feature engineering and model evaluation.
  • Microsoft Certified: Data Analyst Associate
    This Microsoft certification focuses on one's ability to extract insights from data using a variety of tools and techniques. Topics covered include data visualization, statistical analysis and data wrangling.
  • Microsoft Certified: Power BI Data Analyst Associate
    This Power BI certification focuses on one's ability to create and share interactive, data-driven reports and dashboards using Microsoft Power BI. Topics covered include data visualization, data modeling and report creation.
  • Red Hat Certified Engineer in Database Administration
    This Red Hat certification validates one's knowledge and skills in managing and administering Red Hat Enterprise Linux environments. This includes configuring, installing and managing a Red Hat database, as well as backup and recovery, security and performance management.
  • IBM Certified Database Administrator - Informix 11.7
    This IBM certification validates one's knowledge and skills in managing and administering IBM Informix 11.7 databases. This includes configuring, installing and managing an Informix database, as well as backup and recovery, security and performance management.
  • Oracle Database 12c: SQL Fundamentals 1Z0-061
    This SQL certification focuses on the knowledge of SQL and the ability to write SQL statements to manage data stored in an Oracle database. Topics covered include data retrieval, data manipulation and data definition.

These certifications are designed to validate an individual's knowledge and expertise in managing, maintaining and administering data and databases. They demonstrate that the holder has a thorough understanding of the underlying technologies and processes involved in data and databases, as well as the skills to design, implement and manage complex database systems.

If you want to advance your career in data and databases, obtaining one or more of these certifications can be a great way to demonstrate your skills, gain industry recognition and increase your earning potential.

Jobs and careers related Data and Databases certifications

Having certifications in data and databases can lead to various jobs and career opportunities. The most well-known data and databases jobs are;

  • Database administrator
    A database administrator (DBA) is responsible for the maintenance and performance of an organization's databases. This includes tasks such as installing and configuring new databases, backing up data, and ensuring data security and accessibility.
  • Data analyst
    A data analyst is responsible for extracting insights and meaning from large amounts of data. They use tools and techniques to collect, clean and analyze data to support business decisions and drive growth.
  • Data engineer
    A data engineer is responsible for designing, building and maintaining the infrastructure that allows organizations to store, process and analyze large amounts of data. They ensure that data is accurate, secure and accessible to those who need it.
  • Business intelligence analyst
    A business intelligence (BI) analyst uses data and analysis to support business decision-making. They collect, process and analyze data to support business objectives and provide insight into customer behavior and market trends.
  • Data scientist
    A data scientist combines skills in statistics, computer science and domain knowledge to solve complex problems using data. They use advanced analytical methods and algorithms to build predictive models and discover insights to support business decisions.
  • Database developer
    A database developer is responsible for designing and building databases to meet the specific needs of an organization. They may also be responsible for maintaining and updating existing databases to ensure they remain effective and efficient.
  • Database architect
    A database architect is responsible for designing and implementing the overall structure and organization of an organization's databases. They ensure that databases are scalable, secure, and able to meet the needs of the organization over time.
  • Cloud database administrator
    A cloud database administrator is responsible for managing and maintaining databases running in a cloud computing environment. This includes tasks such as configuring and deploying databases, ensuring data security and monitoring performance.
  • Big data analyst
    A big data analyst works with large, complex data sets to discover insights and support decision-making. They use tools such as Hadoop and Spark to process and analyze data, and they may also work with machine learning algorithms to build predictive models.
  • Data management professional
    A data management professional is responsible for ensuring the accuracy, completeness and consistency of an organization's data. They work to implement data management policies and procedures and may also be responsible for data storage, data integration and data quality initiatives.

Having IT certifications can demonstrate a candidate's expertise and experience in using data and databases, and can help them stand out to potential employers. Employers value certified individuals for their knowledge of data and database specific tools, technologies and best practices. It can also give them the confidence to perform complex data and database-related tasks, making them valuable assets to a company.

History of Data and Databases

The history of data and databases goes back to the 1960s and 1970s, when the need arose for better and more efficient ways to store, manage and analyze large amounts of data. At that time, computer hardware was limited and manual data management was time-consuming and error-prone.

In the 1960s, IBM developed the first commercial relational database management system (RDBMS - Relational Database Management System), known as System R. It used a structured query language (SQL) to manage and manipulate data stored in tables. This system was later followed by other RDBMS systems, such as Oracle and Microsoft SQL Server.

With the advent of personal computers in the 1980s, database management systems became more accessible and widespread. The growth of the Internet in the 1990s led to a new era of data management as companies and organizations sought ways to store and share information electronically. This led to the development of cloud-based databases, which made it possible to access data from anywhere in the world.

In recent years, big data and the growth of the Internet of Things (IoT) have fueled the need for more sophisticated data management systems, including the use of NoSQL databases, data warehousing and data lakes. Demand for professionals with expertise in data and database management continues to grow as organizations increasingly rely on data to drive decision-making and innovation.

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