Azure Data Engineer Course DP 203

Audience Profile :

Candidates for this exam should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions. Azure Data Engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques. These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis. Azure Data Engineers also help ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss. They also design, implement, monitor, and optimize data platforms to meet the data pipelines needs. A candidate for this exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns. 

Placement assistance program through LSA Recruit:

At LSA TRAINING, we are committed to helping our students secure suitable job opportunities through our comprehensive Placement Assistance Program.

Key Features of the Program:

1. Scope: Our program assists LSA Training students in finding jobs in their desired industry sectors and roles.
2. Target Audience: Open to students who have successfully completed their training with LSA.
3. Employer Database: We maintain a database of potential employers relevant to students' skills and interests.
4. Partnerships: We establish partnerships with employers, attend career fairs, and participate in industry events to facilitate job placements.
5. Candidate Profiles: Detailed profiles are created outlining students' skills, knowledge, experience, and qualifications.
6. Career Coaching: We offer career advice, resume development, and interview preparation services.
7. Job Matching: Students are matched with potential employers based on their profiles and job requirements.
8. Interview Arrangements: We coordinate interviews between students and employers.
9. Feedback: Post-interview feedback is provided to help students improve their job search skills.
10. Success Monitoring: We track the success rate of placements and gather feedback from students and employers to continuously improve our services.

Contact Us:

For more details on our Recruitment Program, visit [www.Lsarecruit.co.uk], call us at +44 02039501453, or email us at Careers@Lsarecruit.co.uk.

Empower your career with LSA TRAINING and LSA Recruit.

1. Explore Azure Synapse Analytics 
2. Analyze data-with-sql 
3. Transform-data-with-sql 
4. Create and Analyze data in a lake database 
5. Analyze data in a data lake with Spark 
6. Transform data using Spark in Synapse Analytics 
7. Use Delta Lake with Spark in Azure Synapse Analytics 
8. Explore a relational data warehouse 
9. Load Data into a Relational Data Warehouse 
10. Build a data pipeline in Azure Synapse Analytics 
11. Use an Apache Spark notebook in a pipeline 
12. Use Azure Synapse Link for Azure Cosmos DB 
13. Use Azure Synapse Link for SQL 
14. Get started with Azure Stream Analytics 
15. Ingest realtime data with Azure Stream Analytics and Azure Synapse Analytics 
16. Create a realtime report with Azure Stream Analytics and Microsoft Power BI 
17. Use Microsoft Purview with Azure Synapse Analytics 
18. Explore Azure Databricks 
19. Use Spark in Azure Databricks 
20. Use Delta Lake in Azure Databricks 
21. Use a SQL Warehouse in Azure Databricks 
22. Automate an Azure Databricks Notebook with Azure Data Factory