Introduction
Structured Query Language is known as SQL. Relational database systems can be interfaced with using the computer language SQL. SQL is a computer database management and organization technique for historical data retrieval.
SQL is used to send requests for data that need to be retrieved from databases. The desired data is retrieved and returned to us by the DBMS after the SQL query has been processed. SQL statements, on the other hand, specify what data should be taken from or added to a database, as well as how it should be arranged.
Let’s move further,
This blog aims to inform you about the 4 SQL Certifications for your data career so that you can grow your career strategically.
4 SQL Certifications for Data Career
Here are 4 SQL certifications that can enhance your skills, validate your expertise, and boost your career in database management and analysis.
1. Microsoft Certified: Azure Data Scientist Associate
In order to implement and manage machine learning workloads on Azure, candidates for this certification should possess subject matter knowledge in applying data science and machine learning.
In this position, your duties will be as follows:
- Designing and constructing a workspace that is appropriate for data science tasks.
- Investigating data.
- Preparing models for machine learning.
- Putting pipelines into place.
- Completing tasks to get ready for production.
- Scalable machine learning solutions need administration, implementation, and monitoring.
You can demonstrate your proficiency with data science as a candidate for this certification by using:
- Azure AI
- MLflow
Measured skills
- Create and get ready for a machine learning system.
- Examine data and develop models.
- Get a model ready for use.
- Install and retrain the model.
Exam Details
Exam DP- 100
There are several topics covered in the Microsoft DP-100 exam. These include computing management, Azure AI fundamentals, Azure data scientist associate fundamentals, and Azure machine learning. Candidates should be familiar with data science and machine learning concepts before taking the test.
2. Oracle Certified Professional (OCP) – Oracle Database
To pass the Oracle Database Administration Certified Professional certification exam, candidates must demonstrate that they have the ability to install, patch, and upgrade Oracle databases as well as Oracle Grid Infrastructure on standalone servers.
They must also be able to use Recovery Manager (RMAN) to create and manage backup and recovery strategies, duplicate databases, and transport databases; diagnose errors with RMAN; and manage all aspects of Multitenant container databases, pluggable databases, and application containers, including creation, cloning, security, transportation, backup, and recovery.
In this position, your duties will be as follows:
- Financial Consolidation and Close.
- Narrative Reporting.
- Planning.
- Profitability and Cost Management.
- Account Reconciliation.
- Enterprise Data Management.
- EPM Platform.
Measured Skills
- Backup and recovery.
- Data modeling and design.
- Dist Computing.
- Database systems.
- Data security.
- ERP and business knowledge.
Oracle DBA Certification Examination Details
Although the Oracle DBA certification test is difficult, it may be passed if you prepare properly. Your knowledge of a broad range of subjects, including backup and recovery, database architecture, and A tuning, is tested in the exam.
3. Google Cloud Professional Data Engineer
A professional data engineer gathers, transforms, and publishes data to make it valuable and usable for others. To comply with legal and corporate obligations, this person assesses and chooses goods and services. Robust data processing systems are designed and managed by Professional Data Engineers. Workloads involving data processing must be able to be designed, constructed, deployed, monitored, maintained, and secured.
In this position, your duties will be as follows:
- Data Management: Managing, processing, and storing data.
- Data Pipeline: Integrating data from several sources into a destination, like a data warehouse or data lake.
- BigQuery: Processing massive volumes of data and working with others as a team using Google’s cloud data warehouse service.
- Cloud SQL: Using Google’s cloud-based SQL database engine to handle backups, replication settings, and update applications.
- Machine learning: Machine learning is the process of modeling and statistically analyzing data.
Measured Skills
Professional Data Engineers at Google Cloud must possess a range of abilities, such as:
- Data manipulation: The capacity to plan, develop, safeguard, oversee, and implement data processing systems.
- Information Engineering: A comprehension of data trends and the related technologies.
- Pipelines for Data: The capacity to dependably load, transform, and transfer data from several sources to a central data warehouse or data lake.
- Cloud-Based Storage: The capacity to create storage features for safeguarding and distributing massive volumes of data between network systems.
- SQL: It takes advanced SQL knowledge to create scalable and trustworthy data processing models.
Exam Details
Obtaining this certification is difficult because it shows that you are knowledgeable about all of Google’s cloud-based data processing and analysis tools and utilities. You also need to know how to integrate them into plans, install them on networks, and oversee their ongoing operations.
4. IBM Certified Database Administrator – DB2
The primary database administrator (DBA) for the DB2 product running on the z/OS operating system is the IBM Certified Database Administrator. This person possesses substantial DBA expertise and is well-versed in DB2, particularly with regard to version 11’s new features and functionalities. The intermediate to advanced activities associated with database design and implementation, operation and recovery, security and auditing, performance, and z/OS operating system installation, migration, and upgrades can be completed by this person.
In this position, your duties will be as follows:
Common DBA tasks include managing and adding users, roles, and privileges; putting security policies and encryption into place; backing up and recovering data; keeping an eye on performance; and transferring data between various DB2 platforms and versions.
Measured Skills
- Sophisticated SQL optimization and querying.
- Creation and upkeep of databases.
- Tuning and troubleshooting performance.
Exam Details:
- Various DB2 certifications are available from IBM depending on the version.
- IBM Db2 Community Editions
- IBM Db2 Community Edition.
- IBM Db2 Standard Edition.
- IBM Db2 Advanced Edition.
Conclusion
Earning SQL certifications will help you progress your career in the data business by offering a strong foundation in database management and advanced data manipulation skills. As evidenced by extensive certifications from prominent platforms such as Microsoft, Oracle, Google Cloud, and IBM, SQL expertise may lead to a wide range of jobs and responsibilities in data engineering and database management.
Whether you’re considering a Microsoft SQL certification like the Azure Data Scientist Associate, learning Oracle Database Administration, exploring Google Cloud’s data engineering capabilities, or delving into IBM DB2’s advanced features, each certification has its own set of benefits and focuses. These credentials not only authenticate your abilities but also establish you as a highly competitive applicant in a quickly changing employment market.
For those looking to expand their knowledge, taking a SQL online course or engaging in SQL online learning can provide valuable flexibility and accessibility. These sites frequently provide detailed content, practical activities, and expert insights to help you efficiently prepare for certification tests.
Investing in an SQL certification course is a wise decision that can considerably advance your career in the data area. Acquiring these qualifications demonstrates your skill and devotion to future employers, setting you apart in a data-driven environment. Stay tuned to Thinkcloudly for more detailed information and updates on SQL certifications and related topics.
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