Azure Synapse Analytics For Beginners

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Azure Synapse Analytics For Beginners
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English

| Size: 83.75 MB[/align]
| Duration: 0h 34m
Learn the fundamentals of Azure Synapse Analytics with their examples

[b]What you'll learn[/b]

You will learn basics of Azure Synapse Analytics concepts

You will learn Azure Data Lake Storage, Azure Blob Storage concepts

You will learn azure services in this course

You will have real time examples for each concept

[b]Requirements[/b]

You must have azure developer account

[b]Description[/b]

You will learn basics of Azure Synapse Analytics with examples. Azure Synapse Analytics is a cloud-based analytics service provided by Microsoft, designed to help organizations analyze and derive insights from vast amounts of data. It integrates various analytics capabilities, including data warehousing, big data analytics, data integration, and machine learning, into a single platform.Azure Synapse Analytics offers a unified experience for both big data and data warehousing workloads. It combines traditional data warehousing capabilities with big data processing and analytics, allowing users to query and analyze data at scale. This integration eliminates the need for separate systems and simplifies the analytics workflow. One of the key features of Azure Synapse Analytics is its ability to handle both structured and unstructured data. It supports a wide range of data types, including relational data, semi-structured data (such as JSON, XML), and unstructured data (such as text and images). This versatility enables organizations to analyze diverse data sources without having to preprocess or transform the data beforehand.Azure Synapse Analytics provides seamless integration with other Azure services, such as Azure Data Lake Storage, Azure Blob Storage, Azure Machine Learning, and Power BI. This integration enables users to leverage existing Azure investments and easily incorporate advanced analytics, machine learning, and visualization capabilities into their workflows.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Metadata in Azure Synapse Analytics

Lecture 3 Nodeport in Azure Synapse Analytics

Lecture 4 Containers to store data in Azure database

Lecture 5 Various commands in Azure Synapse Analytics

Lecture 6 Load Storage in Azure Synapse Analytics

For those wanting to learn basics of Azure Synapse Analytics concepts

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