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MCSE data management and analytics

If you're looking to demonstrate your skill in building and administrating enterprise scale data solutions onsite and in the Cloud, then the MCSE Data Management and Analytics certification is for you

1

Validate your experience

Validate your skills in managing and maintaining enterprise databases to ensure high levels of data availability
2

Meet demand

Prove you have what it takes to plan database environments and leverage business intelligence to improve devision making
3

Great Earnings

With an average salary of £40,000+ MCSE certified professionals enjoy lucrative and rewarding careers

Salary Indicator

Salary Projection

Average salary after completing

Average Salary
Junior Database Administrator
£18k
Average Salary
You can earn
£72k
Average Salary
Database Programmer
£125k
High
Source: Adzuna

£72k

You can earn an average of £71,650.00 a year

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COURSE OVERVIEW

This certification enables you to demonstrate your broad skill sets in SQL administration, building enterprise-scale data solutions, and leveraging business intelligence data, both on premises and in cloud environments. The MCSE: Data Management and Analytics prove that you have what it takes to plan database environments and leverage business intelligence to improve decision making by validating your skills in managing and maintaining enterprise databases, resulting in high levels of data availability.

Your quick course guide

Certification: MCSE Data Management and Analytics

Study time: 20-30 hours

Vendor: Microsoft

Provider: Skillsoft

Student support: StudentCare™ and expert mentors

Prerequisites: MCSA SQL Server 2012/2014MCSA SQL 2016 Database AdministrationMCSA SQL 2016 Database Development, MCSA SQL 2016 BI Development, MCSA Machine Learning, MCSA BI Reporting or MCSA Data Engineering with Azure

Assessment: 1 x 120 minute exam, 40-60 questions, pass any one exam

Resources: Internet access and email

Ideal for: Database analyst, database designer and business intelligence architect

Included in your modules

Design and implement database solutions for Microsoft SQL Server and Microsoft Azure SQL Database
Design and Implement Security
Design for high availability, disaster recovery, and scalability
Monitor and manage database implementations in Azure
Design big data batch processing and interactive solutions
Design big data real-time processing solutions
Operationalise end-to-end cloud analytics solutions
Read and Explore Big Data
Process Big Data
Process Predictive Models with ScaleR
Use R Server in Different Environments
Prepare Data for Analysis in Azure Machine Learning
Export from Azure Machine Learning
Develop Machine Learning Models
Operationalise and Manage Azure Machine Learning Services
Use Other Services for Machine Learning
Design and implement database objects
Implement programmability objects
Manage database concurrency
Optimise database objects and SQL infrastructure
Sql Server 2016 Database Objects
Sql Server 2016 Indexes And Views
Columnstore Indexes
Programmability Objects
Triggers And Functions
Transactions And Isolation Levels
Managing Database Concurrency
Optimise Sql Database Objects And Infrastructure

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