Learn how to use Microsoft Cloud Services for Big Data Engineering effectively.
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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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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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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The DP-203 certification exam for Microsoft Azure Data Engineers assesses your ability to plan and carry out data solutions using Azure services. Data processing, data storage, and data security on the Azure platform are among the subjects covered in this exam. Candidates must show that they can integrate data services, create data solutions that satisfy business needs, and guarantee data security and compliance. By passing DP-203, you can demonstrate that you are an expert in using Azure technologies for data engineering tasks, which makes you a valuable asset in the cloud-based data management field.
The DP-203 Azure certification tests data solution planning abilities using Azure Synapse Analytics, SQL Database, Cosmos DB, and Data Lake Storage. It also prepares candidates for data engineering in Azure. It highlights compliance, security, processing, and storage of data, demonstrating expertise in efficiently managing Azure data. Passing DP-203 validates the ability to integrate Azure data services, create solutions for business needs, and ensure data security.
Microsoft Azure's DP-203 certification evaluates Azure cloud data engineers' abilities to design and implement data solutions using Azure services. It addresses data processing, storage, security, and compliance; to succeed in it, one must have real-world Azure data engineering experience, as well as expertise in data principles, security protocols, and design and scalability. Once certified, you'll work with organizations utilising Microsoft Cloud Services to address data challenges, put best practices into practice, and support data-driven decision-making.
Implement data storage solutions (40-45%):Design Azure Data Storage solutions using Blob Storage, Data Lake Storage, Azure SQL Database, SQL Data Warehouse, and Cosmos DB. Manage data lifecycle, optimize storage performance, and understand data formats.
Implement Data Processing Solutions (25-30%): Utilize Azure Databricks, HDInsight, Data Factory, and Stream Analytics for real-time processing, integration, orchestration, and transformation.
Monitor and Optimize Data Solutions (10-15%): Use Azure Monitor for monitoring, set up diagnostic logging, improve processing/storage efficiency, and debug data solutions.
Implement Data Security and Compliance (15-20%): Integrate security controls with data masking, encryption, authentication, and authorization to comply with regulatory requirements in Azure data solutions.
Fees for DP-203 Data Engineering on Microsoft Azure: $160 / ₹13125 with 6 months video access.
Bestitcourses is the best place to get your DP-203: Data Engineering on Microsoft Azure certification. All exam subjects are covered in our extensive curriculum, which is taught by knowledgeable instructors to provide practical knowledge. Self-paced classes and online learning environments are examples of flexible learning options. Practical skill mastery is ensured through hands-on labs. Get professional advice along with test-taking techniques and winning approaches. Have faith in our successful certification track record. Continually receive assistance from Bestitcourses to advance your data engineering career.
Mrs. Vandana Soni is a Microsoft Certified Trainer, Azure Data Engineer Associate, and a Software and Corporate Trainer. With 25 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.bestitcourses.com/Vandanasoni
Follow her on LinkedIn -https://www.linkedin.com/in/vandana-soni-85a29475/
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