Azure Data Fundamentals Certification (DP-900) – Full Course to PASS the Exam



Prepare for the Azure Data Fundamentals Certification and pass! ✏️ Course developed by Andrew Brown of ExamPro. Check out the ExamPro YouTube channel: https://www.youtube.com/ExamProChannel
πŸ”— ExamPro Cloud Obsessed Certification Training: https://www.exampro.co ☁️ Data Concepts
🎀 (0:10:12) Auzre Core Data Related Services
🎀 (0:14:55) Types of Cloud Computing
🎀 (0:16:56) Azure Data Related Roles
🎀 (0:18:42) Database Administrator Common tools
🎀 (0:20:27) Data Engineering Common tools
🎀 (0:21:43) Data Analyst Common tools
🎀 (0:22:26) Data Overview
🎀 (0:23:43) Introduction to Data
🎀 (0:24:32) Data documents
🎀 (0:25:30) Data sets
🎀 (0:28:31) Data types
🎀 (0:32:15) Schema vs Schemaless
🎀 (0:34:09) Query and Querying
🎀 (0:35:54) Batch vs Stream processing
🎀 (0:38:30) Relational data
🎀 (0:40:35) Relational data Relationships
🎀 (0:42:07) Row store vs Column store
🎀 (0:43:44) Database Index
🎀 (0:45:05) Data Integegrity vs Data Corruption
🎀 (0:47:11) Normalized vs Denomralized data
🎀 (0:48:32) Pivot table
🎀 (0:50:10) Strongly consistent vs Eventually consistent
🎀 (0:51:33) Synchronus vs Asynchronous
🎀 (0:53:29) Non relational data
🎀 (0:54:29) Data source
🎀 (0:55:41) Data store
🎀 (0:56:32) Database
🎀 (0:57:56) Data warehouse
🎀 (0:59:39) Data mart
🎀 (1:00:36) Data lakes
🎀 (1:01:42) Data lakehouse
🎀 (1:03:12) Data structures
🎀 (1:04:02) Unstructured data
🎀 (1:04:47) Semi structured
🎀 (1:06:10) Semi structured Data Structures
🎀 (1:07:16) Semi structure JSON
🎀 (1:08:11) semi structure ORC
🎀 (1:09:39) semi structure Parquets
🎀 (1:10:35) semi structure AVRO
🎀 (1:11:25) Structured Data
🎀 (1:11:56) Data mining
🎀 (1:13:02) Data mining methods
🎀 (1:14:28) Data wrangling
🎀 (1:15:31) Ddata modeling
🎀 (1:17:18) ETL vs ELT
🎀 (1:19:18) Data analytics
🎀 (1:20:14) Key performance indicators KPI
🎀 (1:21:23) Data Analytic Techniques
🎀 (1:23:02) Microsoft One Drive
🎀 (1:24:20) Microsoft Sharepoint
🎀 (1:25:49) Data Core Concepts CheatSheet ☁️ Azure Synapse and Data Lake
🎀 (1:33:36) Azure Synapse Analytics
🎀 (1:35:26) Sypanse SQL and pools
🎀 (1:37:19) Synapse Key Features
🎀 (1:38:31) Azure Data Lake Gen 2
🎀 (1:40:03) Polybase
🎀 (1:40:50) Synapse ELT
🎀 (1:41:51) Azure Data Lake Analytics
🎀 (1:43:05) Azure Sypanse and Data Lakes CheatSheet ☁️ Account Storage
🎀 (1:44:25) Azure Blob Storage
🎀 (1:45:20) Azure Files
🎀 (1:47:14) Azure Storage Accounts CheatSheet ☁️ Power BI
🎀 (1:48:07) Business Intelligence
🎀 (1:48:40) Power BI
🎀 (1:51:29) Power BI Visualizations
🎀 (1:53:13) Power BI Embedded
🎀 (1:54:02) Power BI Interactive Reports
🎀 (1:55:36) Power BI Service and Dashboards
🎀 (1:56:47) Reports vs Dashboards
🎀 (1:57:47) Paginated Reports
🎀 (1:58:57) Power BI CheatSheet ☁️ Relational Databases
🎀 (2:00:38) Structured Query Language
🎀 (2:01:48) OLAP vs OLAP
🎀 (2:03:14) Open Source Relational Databases
🎀 (2:06:01) Read Replicas
🎀 (2:07:10) Citus Postgres Hyperscale
🎀 (2:08:03) Azure SQL Family
🎀 (2:10:30) Elastic pools
🎀 (2:11:45) Relational Databases CheatSheet ☁️ T SQL
🎀 (2:14:12) T SQL
🎀 (2:15:40) Data Defintion Language
🎀 (2:16:43) Data Manipulation Language
🎀 (2:18:02) Data Query Language
🎀 (2:19:08) Data Control Language
🎀 (2:19:36) Transaction Control Langauge
🎀 (2:20:22) SQL Document Comparsions
🎀 (2:21:10) T SQL CheatSheet ☁️ Database Security
🎀 (2:22:01) Connectivity Architecture
🎀 (2:23:13) Database Authentication
🎀 (2:24:41) Network Connectivity
🎀 (2:25:19) Azure Defender for SQL
🎀 (2:25:54) Azure Database Server Firewalls
🎀 (2:27:00) Always Encrypted
🎀 (2:27:47) Role Based Access Controls
🎀 (2:28:48) Transparent Data Encryption
🎀 (2:29:49) Dynamic Data Masking
🎀 (2:31:02) Private Links
🎀 (2:31:57) Database Security Cheatsheet ☁️ Azure Tables Cosmos DB
🎀 (2:34:13) Key Value Store
🎀 (2:35:40) Document Store
🎀 (2:36:33) Mongo DB
🎀 (2:38:35) Graph Database
🎀 (2:39:42) Apache Tinkerpop and Gremlin
🎀 (2:41:23) Azure Tables
🎀 (2:42:45) Azure Cosmos DB
🎀 (2:44:40) Azure Table Account Storage vs Cosmos DB
🎀 (2:46:39) Azure Tables and CosmosDB CheatSheet ☁️ Hadoop Systems
🎀 (2:48:29) Apache Hadoop
🎀 (2:49:57) Apache Kafka
🎀 (2:50:53) HDInsights
🎀 (2:52:05) Hadoop CheatSheet ☁️ Azure and Databricks
🎀 (2:53:21) Apache Spark
🎀 (2:55:04) Azure Databricks
🎀 (2:57:16) Apache Spark and Databricks CheatSheet ☁️ ELT and SQL Tools
🎀 (2:58:46) SQL Server Management Studio
🎀 (2:59:37) SQL Server Data Tools
🎀 (3:00:58) Azure Data Studio
🎀 (3:01:48) Azure Data Factory
🎀 (3:02:59) SQL Server Integration Services
🎀 (3:04:08) ETL and SQL Tools CheatSheet ☁️ Follow Alongs
🎀 (3:05:38) Install and Use Power BI
🎀 (3:08:17) Launch Azure SQL and Use Data Studio
🎀 (3:34:53) Use Azure SQL as data source in Power BI
🎀 (3:44:20) Use SSMS to perform a query on Azure SQL
🎀 (3:47:37) Create Blob and File storage
🎀 (3:57:36) Explore CosmosDB various NoSQL engines
🎀 (4:27:08) Create a ELT job from Azure SQL to Blob Storage
🎀 (4:33:06) Explore Azure Databricks
🎀 (4:39:49) Explore Azure Synapse Analytics
🎀 (4:44:47) Cleanup

Azure Data Fundamentals Certification (DP-900) – Full Course to PASS the Exam

Azure Data Fundamentals Certification (DP-900) – Full Course to PASS the Exam

 

 

 

 

 

 

 

 

 

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