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This Microsoft Azure Data Factory course by Eduranz, you can master the Big Data Engineering implementation technique in Microsoft Cloud Services. You will learn how to connect Power Bi to Data Lake and use Data Factory. This Azure Data Factory training also includes real-time use cases and project work to provide you with experience in using data factories and data lakes, and providing them in relevant software pipelines. Get to know Azure Data Factory from the best Microsoft Certified experts.

Course Syllabus

LECTURE 1
Introduction to Azure Data factory Details FREE 00:25:00
LECTURE 2
Capabilities in the Data Flow Details 00:25:00
LECTURE 3
Blocking and Non blocking Concept Details 00:25:00
LECTURE 4
Lookup Task Details 00:25:00
LECTURE 5
Configuration External Part , Parameters of SSIS , Administrating the SSIS Packages Details 00:25:00
LECTURE 6
Data Warehouse , OLTD , Transactional Database , ER Model Details 00:25:00
LECTURE 7
Snow Flake Schema , Star Schema , DIM Details 00:25:00
LECTURE 8
Data Flow Task , Fact, Dimensions , Businesskey Types Details 00:25:00
LECTURE 9
Tabular Queue in SSIS , Infrastructure of SSIS Details 00:25:00
LECTURE 10
Azure Storage , File Share , Queue and Table Storage , Blob Details 00:25:00
LECTURE 11
Database , Data Tire Application , Pipeline , SQL Details 00:25:00
section 12
Azure data lake , BLOB vs DWH vs ADL , Azure data lake storage , Ingest store analyse , Ingest data , Install azure CLI , Azure data lake analytics Details 00:25:00
testing Details 00:00:00

About Course

Microsoft Azure (formerly Windows Azure) is a cloud computing service developed by Microsoft to create, test, deploy, and manage applications and services through Microsoft data centers. It offers software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) and supports many different languages, tools, and programming frameworks, including Microsoft specific software and third-party systems.

Today, every business moves to the cloud to meet customer expectations that continue to grow and stay ahead of its competitors. Microsoft Azure is growing at an unprecedented pace. Therefore, there is an urgent need for certified Azure administration professionals. Azure Eduranz Certification training gives you hands-on experience with Azure services, storage, servers and more. Among other things, they will work on managing virtual machines, securing and managing identities. After graduating, you can apply for the best job with the highest salary.

Microsoft Azure DP-200 Eduranz certification training allows students to get accustomed to implementing Azure data solutions. This training ensures that participants increase their knowledge of Microsoft Azure SQL Data Warehouse, Azure Data Lake Analysis, Azure Data Factory, and Azure Stream Analysis, and then complete the integration and copy of data with Hive or Spark. Real projects are also provided.

Syllabus

Understand the concept of cloud

Understand Azure’s core services

Understand security, privacy and compliance

Understand the price and support at Azure

Provision of end points

Select the appropriate authentication mechanism, e.g. Access keys, shared access signatures (SAS), and Azure Active Directory (Azure AD).

Design for encrypting data at rest and when sharing

Design for data validation and data masking

Privacy and Data Classification Policy

Create a data retention policy

Plan your backup strategy

Planning to delete data based on business needs ”

Applications – advantages and disadvantages of service

Configure fail-safe collection

Geo-Replication

Apply the solution

Service deployment

Security application

High availability

Disaster recovery

Distribution throughout the world

Monitor

Partitions

Development of batch processing solutions

Develop batch solutions with Data Factory and Azure Databricks

Swallow data with PolyBase

Full integration time for Data Factory

Create related services and datasets

Create pipelines and activities

Create and schedule triggers

Collect data in Azure Databricks

Develop a streaming solution

Configure input and output

Select the appropriate window function

Implement event processing with Stream Analytics

Monitor

Applications – advantages and disadvantages of service

Apply the solution

Service deployment

Security application

High availability

Disaster recovery

Distribution globally

Monitor

Applications – advantages and disadvantages of service

Apply the solution

Service deployment

Security application

High availability

Disaster recovery

Distribution throughout the world

optimization

Monitor

Disaster recovery

Partition

Carry out data and partition mapping

Spread PolyBase

Configure fail-safe collection

Geo-Replication

security

High availability

Disaster recovery

optimization

Distribution throughout the world

Monitor

Disaster recovery

Partition

Applications – advantages and disadvantages of service

Deploy Azure Databricks cluster

the laptop

Jobs

autoscaling

DR

Design for real-time processing with Stream Analytics and Azure data bricks

Applications – advantages and disadvantages of service

Apply the solution

Service deployment

Security application

High availability

Disaster recovery

Distribution throughout the world

optimization

Monitor

Disaster recovery

Applications – advantages and disadvantages of service

Apply the solution

Service deployment

Security application

High availability

Disaster recovery

Distribution throughout the world

Monitor

Apply the sequence model

Select the appropriate Cosmos DB API

Convert data with Hadoop Hive activity to the Azure Data Factory

Copy hive data to Azure Data Factory

Convert data to the cloud with Spark activity at the Azure Data Factory

Projects

  • Project 1: Analysis of the Python Name Template

 

Industry: General

Challenge: How to analyze trends and the most popular baby names

Topic: In this Python project, you are working with the United States Social Security Administration (SSA), which provides data on the frequency of baby names from 1880 to 2016. This project requires data analysis by considering various methods. You will see the most common names, identify name trends, and find the most popular names for a particular year.

highlights:

  1. Data analysis with the Pandas Library
  2. Provide data frame manipulation
  3. Land for bars and boxes with Matplotlib
  • Project 2: Python Web Scraping for Science Science

 

In this project, you will be introduced to the web scrawling process in Python. This includes installing Beautiful Soup, scraping libraries on the Web, editing general data and web page formats, exploring main object types, navigating strings, finding search trees, navigation options, Analyzer, Search Trees, and searching CSS. Class arguments, lists, functions, and keywords.

  • Project 3: Predict customer murders at telecommunications companies

 

Industry: Telecommunications

Task Issues: To maximize the profitability of your telecommunications company by reducing cooling rates

Topic: In this project, you work with telecommunications company customer records. This note contains telephone client subscription data. Each column contains a telephone number, call minutes at different times, fees paid, account life, and whether the customer has canceled some services by unsubscribing. The aim is to predict whether the customer will eventually swell or not.

highlights:

  1. Expand the Scikit-Learn ML library
  2. Develop code with the Jupyter Notebook
  3. Create a model using the execution matrix

Preview Video

Certification

Features

Personal Mentor


At the time of enrollment team Eduranz will assign one mentor for you and he will be guiding you in this lifetime Journey.

24/7 Tech Adviser Support


Lifetime 24/7 Technical and Non Technical Support from team Eduranz.

Lifetime Access


Get Lifetime opportunity to access and attend the live sessions multiple times.

Assignments & Quizzes


Every module will be followed by certification based assessment and quiz.

Certification


Become a Certified Professional.

Job Assistance


Team Eduranz will update your Resume before forwarding it to our 60+ global Clients.

FAQs

To run Python, your system must meet the following basic requirements:
1. 32- or 64-bit operating system
2. 1 GB RAM
The statement uses Anaconda and Jupiter notebooks. The E-learning video contains detailed installation instructions.

All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them underwent a rigorous selection process that included screening profiles, technical assessments, and training demonstrations before being certified for training. We also ensure that only high-level graduates live in our faculty.

Eduranz offers a 24/7 request solution and you can pick up your tickets at any time from our dedicated support team. You can use email support for all your questions. If your request is not answered via email, we can also arrange one-on-one discussions with the faculty. You will be glad to know that you can switch to Eduranz support after completing training. We also don’t limit the number of tickets you can collect when solving questions and doubts.

Eduranz offers independent learning for those who want to learn at their own pace. This training also gives you the benefits of email questions, tutorial sessions, 24×7 support, and access to modules or LMS for lifelong learning. In addition, you will receive the latest version of learning material at no additional cost. Independent Eduranz training is 75% lower than teacher-led online training. If you experience problems while studying, we can arrange virtual courses directly with the trainer at any time.

Eduranz offers the most up-to-date, relevant and valuable projects in the real world as part of the training program. In this way, you can integrate what you have learned in the real industry. Each training is delivered with various projects where you can thoroughly test your skills, learning and practical knowledge so that you are well prepared for the industry. They work on very interesting projects in the fields of high technology, e-commerce, marketing, sales, networking, banking, insurance and more. After successfully completing your project, your skills will be counted as a result of six months intensive industry experience.

Eduranz actively supports all trainees who have successfully completed the training. That’s why we are involved in more than 80 top MNCs worldwide. This way you can be in exclusive organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco and other similar-sized companies. We also support you during job interviews and preparation of your CV.

In any case, you can switch from self-directed self-training to online training only by paying an additional amount and participating in the next set of training that will be specifically notified to you.

After completing the Eduranz Training Program along with all real projects, tests and assignments and achieving at least 60% points in the qualification exam; You received a certificate that was certified by Eduranz. This certification is recognized by Eduranz’s partner organizations, which includes a lot of top MNCs worldwide that are also part of the Fortune 500 list.

In our job support program, we help you start your dream job by sharing your resume with potential tenants, helping you make resumes, and preparing you for interview questions. Eduranz training should not be seen as an employment agency or employment guarantee, because the entire employment process is handled directly between the student and the employing company and the final choice is always left to the employer.

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