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  Azure Data Fundamentals: Azure Data Ingestion & Processing Data ingestion and processing allows your data to be assessed, used, and analyzed. In this course, you’ll learn about Azure data ingestion and processing, including loading strategies for Synapse SQL Pools. You'll examine Azure data factory pipelines and activities, as well as how to create an Azure data factory. Next, you'll learn how to use the data factory copy data tool to copy data. Finally, you'll explore how to use SQL Server Integration Services, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake to ingest data. This course is one in a series that prepares learners for the Microsoft Azure Data Fundamentals (DP-900) exam. Table of Contents Course Overview Azure Data Loading for Synapse SQL Pools Azure Data Factory Pipelines and Activities Creating an Azure Data Factory UI Using the Azure Data Factory Copy Data Tool Using the Azure Synapse Analytics PolyBase Using SQL Server Integration Servi

1. Azure Synapse Analytics is an analytics service that provides functionality for data integration, enterprise data warehousing, and big data analytics. Services provided include ingesting, exploring, preparing, managing, and serving data for BI and machine learning needs. This course covers Azure Synapse Analytics platform and how it is used for data warehousing and big data analytics and how to create a Synapse Workspace, a dedicated SQL pool, and a serverless Apache Spark pool. This course even demonstrate on how to analyze data using a dedicated SQL pool, Apache Spark for Azure Synapse, Serverless SQL Pools, and a Spark database, as well as how to analyze data that is in a storage account. You'll learn how to integrate pipelines using Synapse Studio, visualize data using a Power BI workspace, and monitor a Synapse Workspace. Finally, the course covers  about the Synapse Knowledge Center and the features of Azure Synapse Analytics and Poly Base. This course is one in a collecti

  python::::::::::::::: 1.check the systax 2.goes to interpretor ,where code is line by line executed,then goes to correct,compiler (inbuild) pvm-python virtual machine         complete dextop application ,use data science ,use for security purpose list(change var),tupple( dont change var ,url),dict,set(random element,not duplicate element), if you want to count the duplicate element in the set ,then you have yon  convert the set into list ,we can reverse set object set method and curly bracket(()) python-is a script based high level programming language , python is a object oriented (when we use class and object,dextop application)and procedural oriented language (when we use function,provide securityand reusability concept ) python has destructor,(obect not point any reference, pickling and unpickling concept in python((byte stream to object,roarmethod)(object to byte stream,dumb)) data obstruction in python(use when essential information and hide some essential information ) [ priva

  Data Engineering on Microsoft Azure: Synapse Analytics Azure Synapse Analytics is an analytics service that provides functionality for data integration, enterprise data warehousing, and big data analytics. Services provided include ingesting, exploring, preparing, managing, and serving data for BI and machine learning needs. In this course, you'll learn about the Azure Synapse Analytics platform and how it is used for data warehousing and big data analytics. Next, you'll learn how to create a Synapse Workspace, a dedicated SQL pool, and a serverless Apache Spark pool. You'll move on to explore how to analyze data using a dedicated SQL pool, Apache Spark for Azure Synapse, Serverless SQL Pools, and a Spark database, as well as how to analyze data that is in a storage account. You'll learn how to integrate pipelines using Synapse Studio, visualize data using a Power BI workspace, and monitor a Synapse Workspace. Finally, you'll learn about the Synapse Knowledge Cent