20776: Performing Big Data Engineering on Microsoft Cloud| Online Training & Certifications

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20776: Performing Big Data Engineering on Microsoft Cloud

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Course Description

About the Course

This course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.

This course is based on the objectives of the course version 20776A.

Course Curriculum

Course # : 20776

Performing Big Data Engineering on Microsoft Cloud Services

Exam : Performing Big Data Engineering on Microsoft Cloud Services

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20776: Performing Big Data Engineering on Microsoft Cloud

Objectives

Describe common architectures for processing big data using Azure tools and services
Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data
Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job
Describe how to use Azure Data Lake Store as a large-scale repository of data files
Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store
Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs
Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest
Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data
Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services

Target Audience

The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.

Prerequisites

Required: A basic knowledge of the Microsoft Windows operating system and its core functionality
Required: A good knowledge of relational databases
Required: A good understanding of Azure data services
Recommended: CCC Big Data Foundation (BDF)

Why 20776: Performing Big Data Engineering on Microsoft Cloud from SkillCertified™

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Very comprehensive materials with a clear presentation. I have been teaching digital forensics for over 10 years and I found this training to be very interesting and on-point

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I have completed the course 20778 Analyzing data with Power BI. The instructor Mr. Abhishek Kumar delivered interactive sessions which were impressively informative. He went through the content in detail which showcased that he has a thorough knowledge of the subject matter. He set up a collaborative medium between instructor and students. You can ask questions and he will give you a presenter view where you can share what you have learnt.
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I've attended SkillCertified™ Live Microsoft SQL Server Self-Paced. It was very useful and enlightening. The training session was great – interactive as well as informative. Trainers were very helpful and offered personal assistance during the training and career guidance after it.

20776: Performing Big Data Engineering on Microsoft Cloud

20776: Performing Big Data Engineering on Microsoft Cloud

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Course Description

About the Course

Course Curriculum

20776: Performing Big Data Engineering on Microsoft Cloud

Objectives

Target Audience

Prerequisites

Why 20776: Performing Big Data Engineering on Microsoft Cloud from SkillCertified™

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