A continuación, le indicamos cómo puede adquirir las mejores habilidades para los roles temporales de ingeniería de bases de datos.

You should have good knowledge on writing complex queries, creating views, procedures, sql jobs, sql connect objects, third party connection, etc

Learn about Structured Query Language (SQL) and its purpose for managing and manipulating relational databases. Utilize platforms like SQLZoo, LeetCode, HackerRank, or Mode Analytics for hands-on practice. Understand how to create and use indexes to speed up query performance. Understand the concept of transactions, including ACID properties (Atomicity, Consistency, Isolation, Durability).

Should have great understanding for relational databse management concepts. Should gain knowledge for basic concepts about SQL. Once good gain more knowledge on advice concepts like complex query writing, nested query, optimizing stored procedure running SQL profiler. Use indexes wherever needed.

Modelling data is nothing but organizing in well manner. To improve data modeling pne should understand category for data and then have data dictionary map entity with attributes. Add data flow digram for visualisation. ER diagrams also help

- This high-level model outlines the overall structure of the data without going into implementation details. It focuses on the entities and their relationships. - This model provides more detail than the conceptual model, defining the attributes of entities and the types of relationships without considering how they will be physically implemented. - 1NF (First Normal Form): Ensures that all columns contain atomic values and that each record is unique. - 2NF (Second Normal Form): Achieves 1NF and ensures that all non-key attributes are fully functional dependent on the primary key. - 3NF (Third Normal Form): Achieves 2NF and eliminates transitive dependency.

- A complete copy of all data. It provides the most comprehensive backup but can be time-consuming and storage-intensive. - Data is backed up to a remote cloud server. It provides offsite storage and can be accessed from anywhere but may require internet connectivity. - Establish a regular backup schedule that aligns with business needs, balancing between data protection and resource usage. - Using third-party cloud services (e.g., AWS, Google Cloud, Azure) for offsite backup solutions, providing scalability and redundancy. - Integrate your backup strategy into a broader disaster recovery plan that outlines steps for data restoration and business continuity in the event of data loss.

As a part of BCP in case of disaster or any natural calamity your data should be prevented. You can use replicas distributed over multiple region. Go for cloud services for distributed data. Also set back up recovery plan.

- Use query performance analysis tools to identify slow-running queries. - Ensure proper indexing on columns used in WHERE clauses, JOINs, and ORDER BY clauses. - Use appropriate data types to save space and improve performance. For example, use INT instead of BIGINT if possible. - Create indexes that include all columns referenced in a query to eliminate the need to access the actual table. - Use in-memory caches (like Redis or Memcached) to store frequently accessed data. - Use performance monitoring tools (e.g., New Relic, SolarWinds, or built-in DBMS tools) to continuously assess database health and performance.

Few things needs to be used 1. Query optimization techniques 2 optimize/ normalized databasing using NF 3 Partition databse 4. Caching and batch processing 5. Stored procedure optimizatiom 6. Indexing and cluster creation 7. Use databse connection pooling

To secure databse we can implement 1. Role based access control security 2 MFA authentication 3 Encryption techniques to maintain sensitive data 4 regularly update security patche 5. Network security use firewall vpn 6. Regular backup 7. Regular audits