Overview
About Course
Microsoft Azure DP-200 certification training gives learners the opportunity to get used to implementing Azure Data Solution. This training ensures that learners improve their skills on Microsoft Azure SQL Data Warehouse, Azure Data Lake Analytics, Azure Data Factory, and Azure Stream Analytics
Duration: 8 days ( 48 Hours )
- Week day Batches: ( Mon & Fri 10am to 4pm ) 2 weeks
- Weekend Batches: ( Sat & Sun 10am to 4pm ) 4 weekends
- Course Description
- Course Content
- Highlights
Microsoft Azure DP-200 certification training gives learners the opportunity to get used to implementing Azure Data Solution. This training ensures that learners improve their skills on Microsoft Azure SQL Data Warehouse, Azure Data Lake Analytics, Azure Data Factory, and Azure Stream Analytics, and then perform data integration and copying using Hive and Spark, respectively. Also, real-world projects would be provided. Further the course in line with the Azure DP 201 exam as well. Therefore, the learners will learn to design the Azure Data Solutions, Data Processing, and Data Security.
Placement assistance program through LSA Recruit:
- Determine the scope of the placement assistance program: The placement assistance program will help LSA Training students find suitable job opportunities in their desired industry sectors and job roles.
- Identify the target audience: The target audience for the placement assistance program will be LSA Training students who have successfully completed their training.
- Develop a database of potential employers: A database of potential employers should be created based on the industry sectors and job roles that are relevant to the students' skills and interests.
- Establish partnerships with employers: Partnerships should be established with potential employers to facilitate the job placement process. This may include establishing direct relationships with employers, attending career fairs, and participating in industry-specific events.
- Develop a candidate profile: A candidate profile should be created that outlines the skills, knowledge, experience, and qualifications of the LSA Training students.
- Provide career advice and coaching: Career advice and coaching services should be provided to the LSA Training students to help them prepare for job interviews, develop resumes, and improve their professional skills.
- Match candidates with potential employers: LSA Recruit should match the LSA Training students with potential employers based on their candidate profile and the requirements of the job vacancies.
- Arrange interviews: LSA Recruit should arrange interviews between the LSA Training students and potential employers.
- Provide feedback to the students: LSA Recruit should provide feedback to the LSA Training students after the interviews to help them improve their job search skills.
- Monitor success rate: The success rate of the placement assistance program should be monitored based on the number of LSA Training students who find employment opportunities and the feedback from both the students and employers.
By following these steps, you can create a comprehensive placement assistance program through LSA Recruit that will help LSA Training students find suitable job opportunities in their desired industry sectors and job roles.
For more details on Recruitment: www.Lsarecruit.co.uk
Contact Us: +44 02039501453
Mail Us: Careers@Lsarecruit.co.uk
- Lesson 01 – Introduction to Azure Synapse Analytics
- Lesson 02 – Describe Azure Databricks
- Lesson 03 – Introduction to Azure Data Lake storage
- Lesson 04 – Describe Delta Lake architecture
- Lesson 05 – Work with data streams by using Azure Stream Analytics
- Lesson 01 – Explore Azure Synapse serverless SQL pools capabilities
- Lesson 02 – Query data in the lake using Azure Synapse serverless SQL pools
- Lesson 03 – Create metadata objects in Azure Synapse serverless SQL pools
- Lesson 04 – Secure data and manage users in Azure Synapse serverless SQL pools
- Lesson 01 – Describe Azure Databricks
- Lesson 02 – Read and write data in Azure Databricks
- Lesson 03 – Work with Data Frames in Azure Databricks
- Lesson 04 – Work with Data Frames advanced methods in Azure Databricks
- Lesson 01 – Understand big data engineering with Apache Spark in Azure Synapse Analytics
- Lesson 02 – Ingest data with Apache Spark notebooks in Azure Synapse Analytics
- Lesson 03 – Transform data with Data Frames in Apache Spark Pools in Azure Synapse Analytics
- Lesson 04 – Integrate SQL and Apache Spark pools in Azure Synapse Analytics
- Lesson 01 – Use data loading best practices in Azure Synapse Analytics
- Lesson 02 – Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipelines
- Lesson 01 – Data integration with Azure Data Factory or Azure Synapse Pipelines
- Lesson 02 – Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
Lesson 01 – Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipelines
- Lesson 01 – Secure a data warehouse in Azure Synapse Analytics
- Lesson 02 – Configure and manage secrets in Azure Key Vault
- Lesson 03 – Implement compliance controls for sensitive data
- Lesson 01 – Design hybrid transactional and analytical processing using Azure Synapse Analytics
- Lesson 02 – Configure Azure Synapse Link with Azure Cosmos DB
- Lesson 03 – Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
- Lesson 04 – Query Azure Cosmos DB with SQL serverless for Azure Synapse Analytics
- Lesson 01 – Enable reliable messaging for Big Data applications using Azure Event Hubs
- Lesson 02 – Work with data streams by using Azure Stream Analytics
- Lesson 03 – Ingest data streams with Azure Stream Analytics
Lesson 01 – Process streaming data with Azure Databricks structured streaming
Training Highlights
- Instructor Led – Face2Face / class room training
- More interaction with student to faculty and student to student.
- Detailed presentations. Soft copy of Material to refer any time.
- Practical oriented / Job oriented Training. Practice on Software Tools & Real Time project scenarios.
- Mock interviews / group discussions / interview related questions.
- Test Lab is in Cloud Technology – to practice on software tools if needed.
- We discuss about the real time project domains.
- The teaching methods / tools / topics we chosen are based on the current competitive job market.
Also on this course we offer the following
- Hands on Experience
- Real Time project work
- Interview based Training
Expected Salary/ Pay Package
- Expected Salaries are as follows:
- For Contractors £400 to £800 per day
- Permanent Positions £50 to £100k per annum all depends on experience and skills set