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Working with Azure CLI 2 0 Part 3

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Lessons List | 46 Lesson

What is Azure Data Lake

What is Azure Data Lake

Azure Data Lake Architecture

Azure Data Lake Architecture

Why Azure Data Lake

Why Azure Data Lake

Creating a Resource Group

Creating a Resource Group

Creating an Azure Data Lake Account

Creating an Azure Data Lake Account

Exploring Data Lake Analytics

Exploring Data Lake Analytics

Exploring Data Lake Store

Exploring Data Lake Store

Uploading Sample Data

Uploading Sample Data

Creating a Simple Job

Creating a Simple Job

Introducing USQL Language

Introducing USQL Language

Extractors Outputters

Extractors Outputters

What is Analytic Unit

What is Analytic Unit

Stages of Job

What Happens When you Submit a Job

What Happens When you Submit a Job

Job Graph

Job Heat Map

Schema on Read

Aggregating Data

Aggregating Data

Filtering Data

Pulling Data From Multiple Files

Pulling Data From Multiple Files

USQL Catalog

Creating a Database

Creating a Database

Creating Schema Table

Creating Schema Table

Inserting Data

Querying Data

Create a View

Query a View

Create a Table Valued Function

Create a Table Valued Function

Execute a Table Valued Function

Execute a Table Valued Function

Creating a Store Procedure

Creating a Store Procedure

Running a Store Procedure

Running a Store Procedure

Using Inline C Function

Using Inline C Function

Installing Tools for Visual Studio

Installing Tools for Visual Studio

Exploring Visual Studio

Exploring Visual Studio

Create a Custom Function in Visual Studio

Create a Custom Function in Visual Studio

Job Comparison Tool

Job Comparison Tool

Vertex Execution View

Vertex Execution View

Introduction to Azure CLI 2 0

Introduction to Azure CLI 2 0

Working with Azure CLI 2 0 Part 1

Working with Azure CLI 2 0 Part 1

Working with Azure CLI 2 0 Part 2

Working with Azure CLI 2 0 Part 2

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Course Description

Azure Data Lake is a cloud platform designed to support big data analytics. It provides unlimited storage for structured, semi-structured or unstructured data. It can be used to store any type of data of any size.Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. It also integrates seamlessly with operational stores and data warehouses so you can extend current data applications. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. ... In fact, the only real similarity between them is their high-level purpose of storing data.

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