DP-900 Microsoft Azure Data Fundamentals (In-Depth)

DP-900 Microsoft Azure Data Fundamentals (In-Depth), Azure DP900 Clearly explained with Practical in most simplest explanation and In-Depth.

Description

Learn Azure DP-900 Microsoft Azure Data Fundamentals (In-Depth)

From the instructor of successful Data Engineering courses on “Big Data Hadoop and Spark with Scala”, “Scala Programming In-Depth” and “Apache Spark In-Depth (Spark with Scala)”

  • From Data file formats to Data Processing
  • From Relational Databases to (Non Relational Database) NoSQL Databases.
  • From Batch Processing to Real Time Processing
  • From Azure Data Factory, Azure Synapse to Azure File Explorer

Contents all you need for in-depth study of Azure Data Fundamentals and to clear DP-900 Microsoft Azure Data Fundamentals Exam and Interview.

Taught in very simple English language so any one can follow the course very easily.

No Prerequisites, Good to know basics about Hadoop and Scala

Perfect place to start learning Azure Data Engineering

Contents:

  • Describe core data concepts (25-30%)
  • Identify considerations for relational data on Azure (20-25%)
  • Describe considerations for working with non-relational data on Azure (15-20%)
  • Describe an analytics workload on Azure (25-30%)

More About Exam:

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it is not a prerequisite for any of them.

You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.

Exam Vouchers:

Some times i do come across discounted vouchers. Will Pass it as available. Else Exam Fees is 99 USD


Free $84.99 Buy It Now
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