Course: Designing and Implementing Big Data Analytics Solutions (exam 70-475)

$429.00
$519.09 incl. vat
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duration: 18 hours |

Language: English (US) |

access duration: 180 days |

In Onbeperkt Leren

In this online Microsoft Big Data Analytics course you will learn more about designing, programming, implementing, automating and monitoring of the Microsoft Azure cloud platform solutions.

You will learn about data ingesting, storage, designing and delivering compute clusters. Then you continue with batch processing technologies and data security tools in Azure.

You will learn about data ingesting and design calculation tools for real-time processing. We also cover the Lambda architecture, Azure Stream Analytics, the provisioning of the components of an Azure Data Factory and the implementation of data processing activities in a data driven workflow.

Finally, you will learn more about monitoring the Azure Data Factory and troubleshooting, as well as loading and transforming data and learn to automate tasks with Azure PowerShell and key Azure Machine Learning features for big data analysis.

Result

You have experience designing, programming, implementing, monitoring and automation of Microsoft Azure cloud platform solutions.

You are also prepared for the MCSA Cloud Platform, MCSE Cloud Platform and Infrastructure or MCSE Data Management and Analytics exam 70-467.

Note: This exam has been retired. If you would like advice on which training you can follow, please contact our support team.

Prerequisites

You have experience with the use of development tools, techniques and design methodologies.

Target audience

Software Developer, Data analist

Designing and Implementing Big Data Analytics Solutions (exam 70-475)

18 hours

Ingesting Data and Computing for Batch Processing

There are many considerations when designing and implementing big data analytics solutions with Microsoft Azure. This course covers data ingesting and storage and designing and provisioning compute clusters, and it aligns with exam 70-475.

Designing Batch Processing and Data Security

Big data analytics with Microsoft Azure requires effective deployment of various frameworks and technologies. This course covers batch processing technologies and data security tools in Azure, and prepares you for exam 70-475.

Ingesting Data and Computing for Real-time Processing

Real-time big data analytics with Microsoft Azure is used in numerous critical applications that require immediate analysis and action. This course covers data ingesting and designing compute resources for real-time processing.

Designing the Lambda Architecture and Real-time Processing

The importance of data processing architectures and data visualization to successfully implement real-time big data analytics solutions in Azure cannot be overstated. This course covers the Lambda architecture and Azure Stream Analytics.

Provisioning an Azure Data Factory

Provisioning an Azure Data Factory

Managing Activities and Data for Azure Big Data Analytics

Implementing Azure big data analytics requires managing the Data Factory, loading and transforming data. This course covers monitoring the Azure Data Factory and troubleshooting problems as well as loading and transforming data.

Automation and Machine Learning

Azure Big Data Analytics solutions provide great automation and Machine Learning capabilities. This course covers the automation of key tasks using Azure PowerShell and key capabilities of Azure Machine Learning for big data analysis.

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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