facebook

Discover the Best Private Database lessons in Spain

For over a decade, our private Database tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Spain, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

39 database teachers in Spain

0 teachers in my wish list
+

39 database teachers in Spain

Statistics · Database · Cognitive psychology
(1 review)
Mousab - Casablanca$20
Trusted teacher: The Merise course is a methodology for the design and development of information systems, in particular databases. It is structured around different steps to analyze, design and implement a database in an IT environment. Here is a general description of the main elements of the Merise Database Management course: When using the Merise methodology for database design, one generally works with three main types of models: MCD - Conceptual Data Model: The Conceptual Data Model is a representation of entities, their attributes and the relationships between them, independent of any technical aspect. It is often developed using Entity-Relationship (ER) diagrams. MCD focuses on representing business concepts and the relationships between them. It allows you to visualize the major entities of the organization and their interactions. MMD - Multidimensional Model: The Multidimensional Model is particularly used in the field of data warehousing. Unlike the traditional relational model (used in operational databases), the multidimensional model is designed to analyze data along different dimensions. It is based on data cubes containing measurements and axes (dimensions) to analyze these measurements. This model is more suitable for decision analysis. MPD - Physical Data Model: The Physical Data Model is a concrete and technical representation of the structure of the database. It takes into account the specificities of the database management system (DBMS) chosen for implementation. MPD focuses on implementation details such as tables, columns, data types, indexes, constraints, etc. These three models are generally used as part of the Merise methodology to gradually move from an abstract and conceptual representation of data (MCD) to a more concrete and technical representation (MPD) while taking into account the specific needs of the organization or the project. MMD, on the other hand, is more oriented towards data analysis for decision-making processes and is not directly linked to the physical structure of the database.
Database
Trusted teacher: I offer courses in data development / database / machine learning / data science (python): I also offer the possibility of helping you with the realization of your academic projects. We support you in the Data development of your business. -1- Databases & Data warehouses (AWS / Google Cloud / Azure Cloud) -2- Machine Learning -3- Deep Learning (tensorflow, pytorch, RNN, CNN, LSTM) -4- Data Processing -5- Machine Learning design and deployment (docker, ...) -6- Data Pipelines -7- Google Sheets with Realtime Pipelines, Macro (VBA) & Database Connection -8- Online dashboards on browsers or on your Excel, Google Sheets (Python, R, Power BI, Tableau, Kibana, etc.) - Our Tech Stack - - Databases: AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cube DBs (EPM / BI platform) - Languages: Python, Spark (Scala, Python, Java), JavaScript, CSS, HTML - Development environment: JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText - Clouds: Amazon Web Services, Azure Databricks, Google GCP (Google Firebase) - Data Lake AWS / Databricks: EC2 (Linux), IAM, Amazon MWAA (Managed Workflows for Apache Airflow), Lambda, S3, DynamoDB, RedShift; Kibana, Azure Databricks, CloudFormation - Web crawling / Scraping: Python Scrapy - Data streaming: Airflow, Kafka - Data visualization / ETL: Python, Kibana, Tableau, Power BI & DAX, Excel Power Query (and lang.M) - Continuous integration workflows (CI / CD): Docker / Google cloud / Kubernetes; Amazon ECS) - Containerized applications: Docker (Docker container, Docker-compose) - Virtualization technologies: VirtualBox, Vmware - Agile tools: Version control (Git / GitLab), tickets (JIRA), Bitbukets, Trello, Wiki (Confluence), Jetbrains - OS: Linux, Windows
Numerical analysis · Information technology · Database
Showing results 1 - 25 of 1241 - 25 of 124

Our students from Spain evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from Spain to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 35 reviews.

Mastering Web Development: From Fundamentals to Advanced Techniques (Tunis)
Oussama
I have no prior experience in this area and I took lessons with Ousamma. He has enough patience and a knack in guiding you step by step through the lessons and exercises in a very simple way to understand them well. He is an invested teacher that is kind and polite. He will help you to develop your abilities and to feel confident in order to achieve your goals. I warmly recommend him and extend my gratitude his great support throughout my learning journey.
Review by BEN
Math tutoring for high school students (Dubai)
Salah Eddine
Salah is an exceptional Math teacher! Although it was a short notice, yet he was very much considerate of our tight schedule and made time to prepare me for the assessment! Thanks, Salah for your outstanding teaching approach. I very much recommend Salah as your Math Teacher!
Review by NADIN
[PYTHON - Data Science - AI] Learn Python & Data Science & Artificial Intelligence from beginner to advanced (La Celle-sous-Gouzon)
Emna
Emna is an excellent teacher. Emna makes every lesson fun to learn and my son (9 years) is having fun learning to code. He has taken so much interest after starting Python with Emna that he started coding himself after just 10 lessons! Highly recommend Emna.
Review by NIRAJ