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Data analytics
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Classroom Contents
Azure Data Fundamentals Certification (DP-900) - Full Course to PASS the Exam
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- 1 Auzre Core Data Related Services
- 2 Types of Cloud Computing
- 3 Azure Data Related Roles
- 4 Database Administrator Common tools
- 5 Data Engineering Common tools
- 6 Data Analyst Common tools
- 7 Data Overview
- 8 Introduction to Data
- 9 Data documents
- 10 Data sets
- 11 Data types
- 12 Schema vs Schemaless
- 13 Query and Querying
- 14 Batch vs Stream processing
- 15 Relational data
- 16 Relational data Relationships
- 17 Row store vs Column store
- 18 Database Index
- 19 Data Integegrity vs Data Corruption
- 20 Normalized vs Denomralized data
- 21 Pivot table
- 22 Strongly consistent vs Eventually consistent
- 23 Synchronus vs Asynchronous
- 24 Non relational data
- 25 Data source
- 26 Data store
- 27 Database
- 28 Data warehouse
- 29 Data mart
- 30 Data lakes
- 31 Data lakehouse
- 32 Data structures
- 33 Unstructured data
- 34 Semi structured
- 35 Semi structured Data Structures
- 36 Semi structure JSON
- 37 semi structure ORC
- 38 semi structure Parquets
- 39 semi structure AVRO
- 40 Structured Data
- 41 Data mining
- 42 Data mining methods
- 43 Data wrangling
- 44 Ddata modeling
- 45 ETL vs ELT
- 46 Data analytics
- 47 Key performance indicators KPI
- 48 Data Analytic Techniques
- 49 Microsoft One Drive
- 50 Microsoft Sharepoint
- 51 Data Core Concepts CheatSheet
- 52 Azure Synapse Analytics
- 53 Sypanse SQL and pools
- 54 Synapse Key Features
- 55 Azure Data Lake Gen 2
- 56 Polybase
- 57 Synapse ELT
- 58 Azure Data Lake Analytics
- 59 Azure Sypanse and Data Lakes CheatSheet
- 60 Azure Blob Storage
- 61 Azure Files
- 62 Azure Storage Accounts CheatSheet
- 63 Business Intelligence
- 64 Power BI
- 65 Power BI Visualizations
- 66 Power BI Embedded
- 67 Power BI Interactive Reports
- 68 Power BI Service and Dashboards
- 69 Reports vs Dashboards
- 70 Paginated Reports
- 71 Power BI CheatSheet
- 72 Structured Query Language
- 73 OLAP vs OLAP
- 74 Open Source Relational Databases
- 75 Read Replicas
- 76 Citus Postgres Hyperscale
- 77 Azure SQL Family
- 78 Elastic pools
- 79 Relational Databases CheatSheet
- 80 T SQL
- 81 Data Defintion Language
- 82 Data Manipulation Language
- 83 Data Query Language
- 84 Data Control Language
- 85 Transaction Control Langauge
- 86 SQL Document Comparsions
- 87 T SQL CheatSheet
- 88 Connectivity Architecture
- 89 Database Authentication
- 90 Network Connectivity
- 91 Azure Defender for SQL
- 92 Azure Database Server Firewalls
- 93 Always Encrypted
- 94 Role Based Access Controls
- 95 Transparent Data Encryption
- 96 Dynamic Data Masking
- 97 Private Links
- 98 Database Security Cheatsheet
- 99 Key Value Store
- 100 Document Store
- 101 Mongo DB
- 102 Graph Database
- 103 Apache Tinkerpop and Gremlin
- 104 Azure Tables
- 105 Azure Cosmos DB
- 106 Azure Table Account Storage vs Cosmos DB
- 107 Azure Tables and CosmosDB CheatSheet
- 108 Apache Hadoop
- 109 Apache Kafka
- 110 HDInsights
- 111 Hadoop CheatSheet
- 112 Apache Spark
- 113 Azure Databricks
- 114 Apache Spark and Databricks CheatSheet
- 115 SQL Server Management Studio
- 116 SQL Server Data Tools
- 117 Azure Data Studio
- 118 Azure Data Factory
- 119 SQL Server Integration Services
- 120 ETL and SQL Tools CheatSheet
- 121 Install and Use Power BI
- 122 Launch Azure SQL and Use Data Studio
- 123 Use Azure SQL as data source in Power BI
- 124 Use SSMS to perform a query on Azure SQL
- 125 Create Blob and File storage
- 126 Explore CosmosDB various NoSQL engines
- 127 Create a ELT job from Azure SQL to Blob Storage
- 128 Explore Azure Databricks
- 129 Explore Azure Synapse Analytics
- 130 Cleanup
