Master the techniques of performing Big Data Engineering on Microsoft Cloud Services.
Types of Data
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29 Mins
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Understanding File Formates
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23 Mins
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Understanding Database
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14 Mins
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OLTP/OLAP
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15 Mins
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Modern Data Warehouse in Azure
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6 Mins
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Understanding Big Data Processing
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29 Mins
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Real-Time Use Case
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7 Mins
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Introduction To Azure Storage Service
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36 Mins
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Working with Blob Storage
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40 Mins
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Azure Storage Security
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25 Mins
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Azure SQL Database Introduction
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26 Mins
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Compare Deployment Options
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13 Mins
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Elastic Pool
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27 Mins
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Azure SQL Security
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28 Mins
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Introduction To Business Continuty
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9 Mins
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Backup and Restore
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18 Mins
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High Availability in Different Tiers
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8 Mins
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Active Geo Replication and Auto Failover Groups
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34 Mins
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Introduction To Spark
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33 Mins
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Introduction To Azure Databricks
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26 Mins
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Understanding Cluster
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21 Mins
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Understanding Notebook
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15 Mins
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DBFS
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17 Mins
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Mount Blob Storage
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14 Mins
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Mount Data Lake Storage
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33 Mins
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Data Cleansing
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29 Mins
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Transformations
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24 Mins
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Load Transformed data to files
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9 Mins
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Working With Tables
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26 Mins
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Lake House Architecture and Delta Tables
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52 Mins
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Delta Tables and Medalian Architecture
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15 Mins
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SQL Warehouse in Azure Databricks
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16 Mins
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Filters and Parameters in Query
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21 Mins
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Introduction to Azure Data Factory
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26 Mins
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Copy From Blob to Data Lake
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12 Mins
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Understanding Service Principal
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35 Mins
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Using Managed Identity
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8 Mins
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Using Key Vault with ADF
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10 Mins
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Using Managed Identity with Azure SQL
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30 Mins
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Integration Runtime
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11 Mins
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Self Hosted Integration Runtime
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15 Mins
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Working with Self Hosted Integration Runtime
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13 Mins
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Data Factory Managed Vnet
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24 Mins
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Get Metadata and Stored Procedure Activity
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21 Mins
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Parameter and Dynamic Connections
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25 Mins
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Lookup and IF Activity
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28 Mins
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For Each Activity And Filter
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28 Mins
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Introduction to Azure Synapse Analytics
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35 Mins
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Introduction to Dedicated SQL Pool
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23 Mins
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Understanding Distributions
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27 Mins
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Understanding Columnstore Index
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14 Mins
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Polybase and CTAS
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30 Mins
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CETAS
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7 Mins
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Copy Statement
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20 Mins
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Introduction to Serverless Pool
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7 Mins
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Query CSV and Parquet Data
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23 Mins
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Query JSON Data
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9 Mins
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Query Partitioned Data
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9 Mins
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Working With Metadata Objects
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21 Mins
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Introduction to Stream Analytics
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34 Mins
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Introduction To Event Hub
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11 Mins
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Ingesting Data From Event Hub
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40 Mins
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Sending Data To Event Hub
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10 Mins
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Using Reference Input and Windowing Functions
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18 Mins
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CosmosDB Introduction
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21 Mins
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Creating CosmosDB Account
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22 Mins
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Understand CosmosDB Request Units
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19 Mins
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CosmosDB Global Replication and Consistency Levels
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16 Mins
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CosmosDB Partition Key
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14 Mins
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Updating your skills on Microsoft Azure Data will lead to great advantage in terms of jobs and earnings. Gaining a DP-203 certificate will help you to become an expert in Azure SQL DB, Cosmos DB, and Databricks, Data lake. This online training will help you adapt to the DP-203 exam zone and support you in increasing your potential for the examination.
You can also be a full-fledged Azure Expert by enrolling in our best Azure packages, where you will get Azure DevOps and many other courses together.
What is DP-203:
Exam DP-203 sharpens your skills in implementation and deployment on Azure SQL DB, Cosmos DB, and Databricks and designing the solution for the required tasks. This DP-203 online training involves designing and implementing different data platform technologies.
What you will learn in this DP-203 Online Training:
This online training of DP-203 would focus on various domains to increase your potential from basic to advanced.
Who should take up this course of DP-203 Online Training:
Check upcoming live DP-203: Implementing an Azure Data Solution online training
Skills Measured:
Benefits of DP-203 Online Training?
Mrs. Vandana Soni is a Microsoft Certified Trainer, Azure Data Engineer Associate, and a Software and Corporate Trainer. With 18 years of IT experience, she is adept Corporate Training, Live Training, and Online Webinars.
She has trained 50,000+ individuals all over the world and delivered 50+ Corporate Training all over India and abroad in the following technologies. She specializes in Data Analytics, SQL Server Training, and giving Certification Guidance to Corporates. As an Azure Data Engineer, she has the confidence in teaching from basics to advanced level topics, covering every aspect in detail.
Know more about Vandana Soni - https://www.bestdotnettraining.com/Vandanasoni
Follow her on LinkedIn -https://www.linkedin.com/in/vandana-soni-85a29475/
The Azure Data Analytics training can be taken by any beginner who wants to build career in Microsoft Azure Data Analytics. The subscriber needs to have working knowledge of Azure and SQL.
Yes. With every course, you will be given a sample project document which contains complete source code. We also have a special course on Developing Live Project which will help you to learn the process involved in all the stages of application development. For more details, please check page, Live Project Training.